c-ECO INSTITUTESYSTEMIC INTELLIGENCE LIBRARY · FIN

c-ECO SYSTEM / DOMAIN LIBRARY

FIN · Domain knowledge

Financial Systems

Risks · Response · Governance · Calibration
Scenarios · Recovery · Sources

c-ECO Institute crest

A domain library connecting systemic risks, monitoring, governance and recovery. Explore nine parts and 35 sections with mechanisms, observations, evidence matrices and documented cases.

English research and learning edition · Scientific references, domain cases and reproducible exercises. Methodological notes →

READING AND EVIDENCE

How to use this library

The library combines domain research, a c-ECO analytical teaching structure and original exercises. References identify mechanisms, methods and documented cases; inclusion does not validate a complete TFP application.

N1 · Analytical and simulated material
The risk–TFP associations, candidate observations, scenario designs and exercise parameters organize inquiry. They are not measured local results, approved operational thresholds or estimates of event frequency. The case must define its function, observations and criteria.
N2 · Reproducible laboratory
Section 20 specifies a synthetic model, assumptions, dependence and random seed. Its Q output is a pedagogical index, separate from SPS. Numerical summaries describe only that declared experiment.
N3 · Sources and scope
Research papers, official documents and case records have distinct roles. This is a curated teaching library, not an exhaustive systematic review. Dynamic sources require a cited version or extraction date; applicability of a legal or technical instrument depends on the actual jurisdiction and activity.
N4 · Governance and learning
The library establishes no statutory power, quorum, emergency command, provider certification, partnership or institutional endorsement. A learning case may be real or simulated. Completion, optional credentialing, permission to submit and licensing remain distinct. Projects and data contributions to the SIL require an associated fellow and applicable review.

PART I

Domain intelligence profile

SECTION 01

Domain overview and system boundary

Define the financial function whose continuity matters before selecting an institution or metric. A payment system, a funding market and a bank balance sheet have different boundaries and time scales. Record obligations, currencies, maturities and the parties entitled to act. Separate solvency from the ability to make a payment when due: an asset may have long-term value without being immediately usable. This distinction prevents a stock measure from concealing a timing problem. The learning case should identify the real-economy service that depends on the function and the evidence required to judge whether continuity has been preserved. [F01] [F14]

Financial systems connect payments, credit, funding, collateral, insurance and risk transfer. This library studies the continuity of those functions and the mechanisms through which distress spreads across institutions, markets and the real economy. It is an academic systemic-risk domain, not the Institute’s operating budget, a business plan or investment guidance. The unit of analysis can be a payment network, a funding market or an interconnected set of balance sheets, provided its boundary and critical functions are explicit.

A financially sound institution in isolation may be vulnerable to simultaneous withdrawals, collateral calls, asset sales or the failure of a shared service provider. Conversely, connectivity can diversify ordinary shocks while transmitting unusually large ones. Analysis must therefore distinguish solvency, funding liquidity, market liquidity and operational continuity. The learning case should specify currencies, maturities, legal entities, settlement timing and the location of usable resources. Public indicators support a bounded interpretation; confidential exposure data and authorised institutional judgement may be needed for a fuller assessment.

A domain label is not yet a case boundary. Separate the condition of a resource or asset from the function delivered to users. A nominally available installation may fail to deliver usable service, and a system-wide average can conceal localized loss. Preserve the original physical or institutional unit alongside any normalized representation. The boundary should make it possible to ask what enters, what changes, what leaves and who experiences the consequences.

Case-analysis method
Case fieldRecord
FunctionDescribe the outcome delivered, affected users and the minimum useful unit of service.
BoundaryRecord spatial, technical, organizational and temporal boundaries, including excluded processes.
Reference conditionState what counts as functional performance and which evidence defines that condition.
Exposure and distributionIdentify which groups, assets and ecological functions can be affected differently.
DependenciesIdentify prerequisites, substitutes and common points of failure.
ObservationConnect each important claim to a source, method, scale and update interval.

Section readings [F01; F14]

SECTION 02

Historical development and changing conditions

Historical financial crises reveal changes in the form of liquidity transformation rather than the disappearance of run risk. Deposits, repo funding, investment-fund redemptions and collateralised derivatives can each create demands for cash on different terms. Compare the contractual structure, information environment and available response mechanisms before borrowing a historical parameter. A traditional bank-run model clarifies coordination problems, while the repo literature documents a different institutional channel. The timeline should show how funding, collateral and market infrastructure evolved. It should not convert unlike crises into one stationary empirical distribution of failure. [F01] [F07]

A historical baseline must be examined for changes in exposure, technology, operating practice and observation. Compare episodes using their mechanisms and evidence, rather than treating all events with a similar label as exchangeable observations. A reconstruction should show what was known at each time; later explanations should not be presented as information available to the original decision maker. Recovery and long-term change may require a separate timeline from the initiating incident.

Historical comparison: documented records for further study
Case and periodMechanism to examineComparison questionSource
Repo funding stress, 2007–2008Haircuts and secured-funding conditions deteriorated with collateral uncertaintyStudy funding and collateral feedback rather than only unsecured bank deposits[F07]
Flash Crash, May 2010Interacting trading dynamics produced severe temporary market dislocationAnalyse execution rules, liquidity withdrawal and cross-market coupling[F19]
Knight Capital trading incident, August 2012Deployment and market-access control weaknesses allowed erroneous ordersTreat software change control as part of financial-system continuity[F20]
March market turmoil, 2020A broad demand for liquidity interacted with intermediation constraintsStress simultaneous selling and cash demand across banks and non-banks[F18]

Section readings [F01; F07]

SECTION 03

Actors, institutions and decision responsibilities

The institutional landscape includes banks, non-bank intermediaries, exchanges, clearing houses, custodians, payment operators, central banks, supervisors and resolution authorities. Each controls a different part of continuity. A central counterparty’s risk management differs from a bank’s funding decisions, and a private service provider does not hold public resolution powers. Map the function, legal entity, information holder and decision authority for the case. International standards provide common analytical reference points, but national implementation and institutional mandates determine available actions. The map should identify both the responsible role and the operational ability to act within the relevant deadline. [F14] [F15]

Map actors by the function they perform and the responsibility they actually hold in the case. The same organization may observe a condition, supply a service and participate in a decision; those roles should remain distinguishable. Examine information access, resources, expertise, affected users and accountability together. A list of institution names is not an operating governance arrangement. Record the evidence for each responsibility and the process for resolving a disagreement or correcting a record.

Case-analysis method
FunctionActors to identifyReviewable output
ObserveOperators, observation networks, laboratories and affected usersTimestamped records and methods.
InterpretAnalysts and relevant subject specialistsMechanism hypotheses, alternatives and uncertainty.
ReviewQualified reviewers with declared interestsDocumented assessment and unresolved disagreements.
Decide and executeThe actor with the applicable mandateReasons, authorized action and verifiable completion.
CommunicateResponsible institutions and accessible public channelsMessage, receipt, corrections and feedback.
UpdateData custodians and the review functionVersion, new evidence and conditions for revision.

Section readings [F14; F15; C07]

PART II

Systemic risk intelligence

SECTION 04

Primary systemic risks

Primary financial risks should distinguish losses, timing shortages and operational interruption. A counterparty default can reduce asset value; a margin call can create a cash demand without an equivalent long-term economic loss; a payment outage can block settlement despite adequate resources. These mechanisms require different observations and responses. Record gross and net exposures, collateral, seniority and the time at which obligations become due. A single solvency ratio cannot represent all of them. Network models are useful when their contractual assumptions match the question, while liquidity models expose pathways that fixed loss propagation can miss. [F03] [F04]

The inventory is a structured set of research hypotheses. It separates a threatening condition from the mechanism of loss and from its consequences. The proposed TFP association indicates which question to investigate; it is not evidence that a particular indicator predicts the event. Risk importance depends on the defined function, exposure, duration and usable alternatives. Do not infer frequency, severity or priority from the position of a row in the table.

Thirty domain-specific risk hypotheses
#Risk or threatening conditionMechanism to examineProposed TFP inquiry
1Deposit runMany depositors demand payment within a short intervalP: usable liquidity; ΔV: outflow speed
2Wholesale funding withdrawalShort-term creditors stop rolling obligationsP: funding access; Lr: alternatives
3Repo haircut increaseMore collateral is required for the same fundingP: unencumbered collateral; ΔV: haircut change
4Margin-call cascadeMarket moves create simultaneous cash demandsP: cash headroom; ΔV: call accumulation
5Fire-sale feedbackForced sales depress shared asset valuesP: liquidation capacity; σ: price impact
6Counterparty defaultMissed obligations transmit losses through exposuresP: loss absorption; σ: recovery assumptions
7Portfolio overlapCommon holdings create indirect contagionP: correlated exposure; σ: holdings coverage
8Collateral concentrationMany obligations rely on a narrow asset setP: collateral diversity; Lr: substitution
9Asset encumbrancePledged assets cannot freely support new liquidityP: usable asset share
10Currency mismatchCash is unavailable in the currency dueP: currency-specific liquidity; Lr: swap access
11Maturity mismatchCash outflows precede asset realisationP: time-bucket headroom
12Interest-rate repricingRate changes alter valuations and funding costsP: repricing resilience; σ: behavioural assumptions
13Credit deteriorationBorrower weakness raises expected and realised lossesP: credit quality; ΔV: migration
14Sovereign-bank feedbackSovereign and domestic-bank stress reinforce each otherP: common exposure; σ: policy response
15Settlement disruptionPayments fail or queue at a critical nodeP: settlement capacity; ΔV: backlog
16Clearing-member failureA participant default strains an infrastructureP: available default resources; Lr: orderly processing
17Operational outageDigital or physical failures interrupt critical functionsP: transaction continuity; Lr: tested fallback
18Cyber compromiseData or instruction integrity is lostσ: scope; Lr: trusted restoration
19Fraud and misreportingBalance-sheet evidence misstates underlying conditionσ: data reliability; P: verified resources
20Liquidity illusionNormal trading depth is mistaken for stress capacityP: executable depth; σ: stressed-price impact
21Leverage unwindBalance-sheet contraction drives common salesΔV: deleveraging; P: loss absorption
22Non-bank funding fragilityRedemptions and leverage transmit stress outside banksP: liquid resources; ΔV: redemption speed
23Insurance asset-liability stressClaim or collateral timing mismatches usable assetsP: cashflow capacity; Lr: claims continuity
24Concentrated uninsured fundingCorrelated creditors withdraw togetherP: stable funding; σ: behavioural dependence
25Model monocultureSimilar rules synchronise trading or risk responsesσ: correlation; ΔV: common action speed
26Market-manipulation exposureDistorted prices trigger decisions and collateral changesσ: price validity; P: control coverage
27Climate-related repricingPhysical or transition changes affect cashflows and valuesP: scenario exposure; σ: pathway uncertainty
28Legal-entity fragmentationGroup resources cannot move where needed in timeLr: transfer feasibility; P: entity headroom
29Confidence communication failureAmbiguous information accelerates funding stressΔV: withdrawal acceleration; σ: information gaps
30Resolution execution failureCritical functions cannot be preserved during failure managementLr: demonstrated continuity; P: available authority

Section readings [F03; F04]

SECTION 05

Amplification mechanisms and secondary risks

Amplification often comes from individually reasonable responses that are destabilising when performed together. Institutions sell assets to raise cash, but common sales depress prices and reduce collateral values elsewhere. Tighter margins then create further cash needs. Analyse these loops jointly instead of assigning an independent shock to each institution. The relevant market depth is the capacity available during simultaneous stress, not normal trading volume. A case should identify which rules or funding terms make responses procyclical and which resources can absorb the timing pressure without requiring the same crowded sale. [F04] [F05] [F10]

An amplifier changes the consequences of an initiating condition without necessarily causing the initiating event. Useful counterfactuals hold the threat constant and vary concentration, maintenance, access, information or response capacity. Document the mechanism and the observation that would distinguish it from an alternative explanation. Several amplifiers may share the same upstream cause; counting each one as independent evidence exaggerates confidence.

Amplification mechanisms
AmplifierPropagation mechanismEvidence or TFP inquiry
Short-term funding concentrationCreditors react to common information at similar timesMeasure correlated withdrawal and rollover assumptions
Overlapping portfoliosSales impose losses beyond direct counterpartiesMap instrument-level common holdings
Procyclical collateral demandsFalling prices increase liquidity needsStress cash and collateral jointly
Mark-to-market feedbackPrice changes alter constraints and force salesSeparate valuation losses from cash realisation
Opaque exposuresUncertain counterparties withdraw pre-emptivelyImprove entity and contract-level transparency
Common risk rulesMany participants deleverage simultaneouslyTest correlated responses rather than independent actions
Digital communication speedInformation and withdrawals propagate rapidlyCompare response and outflow timelines
Fragmented legal entitiesResources exist but cannot move to the stressed functionVerify location, currency and transfer feasibility

Section readings [F04; F05; F10]

SECTION 06

Emerging risks and research horizons

Horizon scanning should examine changes to settlement, leverage visibility, service concentration and the speed of funding withdrawal. Tokenisation may alter custody and redemption arrangements without removing the underlying claim on cash or assets. Shared AI tools may synchronise responses, while climate pathways can reprice correlated exposures. For each item, specify the mechanism, exposed function and evidence needed to assess it. A technology label alone is not a risk estimate. The objective is to identify assumptions that need stress testing, including whether legal finality, operational access and usable liquidity remain aligned in the proposed arrangement. [F13] [F14]

A research horizon is tied to the time needed to investigate, prepare or change a system. It is not a date at which an emerging threat is predicted to occur. Record the reason for concern, the strength of evidence, the exposed function and the observation that would change the priority. Distinguish a newly observed mechanism from a known mechanism whose exposure, scale or institutional context is changing.

Emerging research agenda
Research topicMechanism or knowledge gapObservation or horizon question
Tokenised financial infrastructureNew settlement arrangements introduce operational and legal dependenciesMap finality, custody and redemption conditions
AI-linked trading convergenceShared models may synchronise responsesEvaluate common inputs and correlated action rules
Third-party service concentrationMany institutions share cloud or identity providersMap critical functions to common upstream services
Climate transition repricingPolicy and technology pathways alter asset cashflowsUse explicit scenarios and exposure classifications
Fast digital withdrawalsOperational channels shorten the funding-response windowStudy intraday outflows and usable resources
Non-bank leverage visibilityDerivatives and collateral chains obscure system exposuresReconcile leverage, margin and legal-entity data

Section readings [F13; F14]

SECTION 07

Cascades and cross-domain dependencies

A cascade taxonomy should separate direct counterparty losses, common-asset valuation effects, funding withdrawal and operational dependencies. Two institutions can be connected through overlapping portfolios even without direct claims on one another. Conversely, a large gross exposure may be partly collateralised or legally netted, changing both the loss and timing path. Label each edge with its economic meaning, currency and maturity. Network density can diversify small shocks while transmitting larger ones under some models. The case should test this conditional relationship rather than assume that either more connectivity or more separation is always safer. [F02] [F08] [F09]

Maturity transformation funds longer-lived assets with liabilities that can be withdrawn or repriced sooner. It supplies valuable liquidity services but creates a timing vulnerability when many creditors demand payment together.

Funding liquidity and market liquidity interact. Selling assets to obtain cash can depress their prices, weaken collateral values and increase the cash needed elsewhere. This feedback differs from a fixed direct-credit-loss model.

Counterparty networks transmit missed payments according to obligation size, seniority, collateral and settlement rules. A graph without those contractual features can misstate both loss and timing.

For each directed dependency, specify the function supplied, the destination, the propagation time and the substitute. Shared-cause failure, interacting threats and cascading propagation are different structures. A directed arrow becomes an explanatory claim only when the timing and mechanism are supported. Test apparent redundancy by removing the common access route, platform, energy supply or specialist on which both alternatives depend.

Directed dependency hypotheses
DependencyMechanism and directionVerification or TFP inquiryContext
Digital infrastructurePayments need identity, networks and data integrityFinancial interruption restricts essential-service transactionsTest settlement and trusted offline alternatives
EnergyFinancial operations require continuous powerEnergy-price shocks affect collateral and borrowersMap operational and balance-sheet channels separately
Water and sanitationUtilities rely on payments, insurance and creditService disruptions affect household and enterprise cashflowsPrioritise continuity of critical utility transactions
HealthProviders depend on payments and working capitalDisruption can affect service access and claimsIdentify time-critical financial functions
LogisticsTrade finance and payments support deliveriesTransport disruption changes inventories and credit qualityMap cashflow timing to essential supply chains
AgricultureSeasonal production depends on credit and insuranceClimate shocks correlate borrower lossesUse crop, season and regional exposure data
Urban infrastructureProjects and municipalities depend on funding marketsPhysical damage and refinancing stress can interactSeparate project liquidity from long-term viability
GovernanceAuthorities define supervision and resolution powersInstitutional delays can constrain continuity measuresRecord actual decision authority and information exchange
AI systemsModels support trading, risk and fraud detectionCommon errors can synchronise financial actionsRetain independent review and bounded automation
Emergency responseRapid relief requires payment capabilityDisasters create simultaneous cash and claims demandsTest accessible payment and claims continuity

Section readings [F02; F08; F09; C01; C02]

PART III

Systemic response intelligence

SECTION 08

Readiness and response protocols

A response protocol should connect a measured deterioration with an authorised, feasible action. For a payment backlog, the task may concern operational processing and liquidity timing; for a funding shock, it may concern mobilisation of already available resources. Analysts should not assume access to public emergency support or invent a power to restrict counterparties. State the responsible institution, action scope and verification step. Preserve a record of the information available at the time. The exercise should compare the time required to act with the time until the relevant obligation is due, rather than use an arbitrary escalation clock. [F14] [F15]

Preparedness connects a signal to a responsible actor, an available measure and a condition of completion. This learning architecture does not grant emergency command or operational authority to the c-ECO Institute or a course participant. A useful protocol distinguishes checking the signal, protecting exposed functions and verifying recovery. A paper plan contributes to usable capacity only when its relevant assumptions have been tested.

Case-analysis method
StageAction to prepareEvidence
PrepareDefine critical functions, contacts, alternatives and observation coverage.A tested readiness record.
VerifyCheck the signal, the instrument and plausible alternative explanations.A traceable observation and uncertainty statement.
ProtectSelect and implement measures within the responsible actor’s authority.Coverage of priority functions and evidence of execution.
RecoverVerify usable performance before treating the function as restored.Recorded return criteria, monitoring and decision owner.

Section readings [F14; F15]

SECTION 09

Scientific review and decision records

Independent technical review should challenge exposure completeness, behavioural assumptions, dependence structure and the feasibility of the proposed action. A liquidity plan may rely on assets that are already encumbered or on transfers that cannot occur between entities in time. A network model may omit common holdings or non-bank counterparties. Reviewers should ask which assumptions change the decision and which can be tested with current evidence. Record disagreements rather than conceal them inside one stress score. Scientific review supports an institutional decision; it does not replace the legal authority of supervisors, operators or resolution bodies. [F03] [F10] [F15]

A review record separates observation, inference and decision. Record the data version, methods, alternative explanations, relevant expertise, conflicts of interest and unresolved disagreement. Review should be matched to the question and its consequences. Scientific analysis can inform a competent actor without replacing that actor’s mandate. No membership size, quorum or institutional power is established by this teaching library.

Case-analysis method
Review itemQuestion and record
QuestionWhat specific claim is being evaluated?
EvidenceWhich observations, sources and transformations support it?
AlternativesWhat other process could explain the same observation?
IndependenceWhich interests or shared data origins affect review?
DecisionWho can act, on what basis and with which constraints?
RevisionWhat new observation or failure of an assumption reopens the analysis?

Section readings [F03; F10; F15; C05; C07]

SECTION 10

Communication and observation continuity

Communication can influence funding behaviour, but it should not be treated as a substitute for credible resources and accurate records. During stress, identify which critical function is affected, which facts are verified and when further information will be provided. Avoid mixing a temporary operational workaround with a claim of financial soundness. Different audiences need different information, and disclosure decisions may have legal constraints. A learning exercise should test message consistency, responsible approval and independent delivery channels. The objective is to reduce avoidable ambiguity while preserving the distinction between evidence, institutional judgement and uncertain future outcomes. [F16] [F18]

Continuity of observation should be tested alongside continuity of the function itself. Losing data may increase uncertainty before the physical process visibly changes. Redundancy must be demonstrated against common causes, including power, location, communications, credentials and specialist availability. During disconnected operation, preserve the last reliable observation, record the uncertainty that follows and reconcile timestamps and authorship when information paths return.

Case-analysis method
Continuity capabilityTest
Observation pathTest sensor availability, power, timing and independent confirmation.
Alternative communicationTest actual reach, autonomy and the ability to contact responsible people.
Degraded operationSpecify what can remain usable safely under loss of information or connectivity.
Offline recordKeep controlled copies of essential maps, contacts, definitions and procedures.
Accessible messagesCheck language, disability access, delivery and routes for correction.
ReconciliationPreserve timestamps and authorship when disconnected records are merged.

Section readings [F16; F18; C01]

PART IV

Governance and legal architecture

SECTION 11

International instruments and technical references

Financial governance depends on jurisdiction, institution type and the function under examination. International principles and resolution attributes are reference frameworks, not identical self-executing rules everywhere. The case should identify applicable domestic instruments, contractual terms and competent authorities before discussing intervention. Separate supervision, operational management, recovery and resolution because their powers and objectives differ. Scientific evidence can illuminate exposure and contagion channels, while authorised legal analysis determines the available action. This avoids presenting a simulated response as an actual c-ECO power or assuming that one country’s institutional mechanism is portable without adaptation. [F14] [F15]

Classify each instrument before using it. A scholarly article supports an inference, a technical guide describes a method, a standard has a defined scope, and a legal instrument may create obligations only where applicable. The case record should identify the specific provision or method, its version and the activity to which it relates. A source’s institutional reputation cannot by itself establish applicability or demonstrate compliance.

Technical and institutional documents: identify their actual function
ReferenceDocumentUse and scope
[F14]Principles for Financial Market InfrastructuresCore principles for market-infrastructure risk management; implementation and legal applicability are jurisdiction-specific.
[F15]Key Attributes of Effective Resolution Regimes for Financial InstitutionsInternational resolution-policy resource; powers depend on domestic law and responsible authorities.
[F16]Review of the Federal Reserve’s Supervision and Regulation of Silicon Valley BankPrimary review of risk management and supervisory issues surrounding a bank failure.
[F17]Financial Stability Buy/Sell Tools: A Gilt Market Case StudyPrimary account of the 2022 gilt-market intervention and liability-driven investment stress.
[F18]Holistic Review of the March Market TurmoilPrimary synthesis of pandemic-related liquidity stress and intermediation constraints.
[F19]Findings Regarding the Market Events of May 6, 2010Primary report on interacting trading dynamics in the Flash Crash.
[F20]In the Matter of Knight Capital Americas LLCPrimary order documenting controls and deployment issues associated with the 2012 trading incident.

Section readings [F14; F15]

SECTION 12

Jurisdiction-specific responsibilities and requirements

A baseline should reconcile legal entities, accounting dates, maturity buckets, currencies, collateral and off-balance-sheet commitments. Consolidated figures may conceal a local shortage or a transfer restriction. Market data and balance-sheet data also arrive at different frequencies and can reflect different perimeters. Record those differences before calculating indicators. A publicly reported ratio is a useful observation, but its definition and lag matter. Where necessary data are unavailable, state which inference cannot be made rather than fill the gap with an apparent precision derived from a broad sector average. [F12] [F22]

The register should cover the actual activity and location, including interfaces between organizations and jurisdictions. Separate responsibility for observing, supervising, deciding and executing. Retain the official source, version consulted and evidence needed to assess a condition. Conflicting definitions and overlapping mandates are analytical findings to investigate. A general library cannot create a universal legal threshold for all settings.

Case-analysis method
Register fieldInformation to preserve
Instrument and versionOfficial title, scope, jurisdiction and date consulted.
Actor and functionThe competent authority, operator, owner or custodian for the relevant activity.
ConditionThe requirement, decision trigger or performance obligation actually applicable.
EvidenceThe observation or document needed to evaluate that condition.
InterfaceOverlaps, conflicts, shared duties and coordination procedures.
ReviewHow changes in the instrument, activity or evidence affect applicability.

Section readings [F12; F22]

SECTION 13

Causation, accountability and cascading consequences

Accountability analysis should trace decisions about funding structure, risk limits, control remediation and operational change. The final event in a failure sequence is not necessarily the root cause. A software deployment can reveal weaknesses in testing, permissions and financial controls, while a bank failure can involve management and supervisory processes over a longer period. Preserve the distinction between an official finding and a research interpretation. Identify who had authority to address each contributing condition and what evidence was available. This supports learning without reducing a complex incident to a single person, ratio or market move. [F16] [F20]

A technical chain of consequences is not automatically a legal allocation of liability. Separate evidence of causation from the duties, control and decisions relevant to each actor. A case may contain direct damage, dependent service interruption and persistent environmental or social consequences on different timescales. The analysis should show which links are documented and which need further investigation, without presuming an institutional restoration fund, mandatory levy or insurance mechanism.

Case-analysis method
LayerAnalytical question
Technical sequenceSeparate the initiating condition, failure mechanism, propagation and consequence.
Duty and controlIdentify the applicable responsibility and the actor able to influence the relevant process.
ExposureTrace the connection between a change of state and an affected function or population.
Alternative explanationsIdentify concurrent conditions and missing evidence relevant to attribution.
Recovery resourcesIdentify documented resources and their access conditions, without assuming an institutional fund or levy.

Section readings [F16; F20]

SECTION 14

Cross-boundary coordination

Cross-border finance introduces currency, legal-entity, time-zone and resolution constraints. Group-level resources may not be immediately usable by the entity that must settle an obligation. Netting and collateral rights can also depend on enforceability and contractual scope. Map the location and timing of both claims and resources. A scenario should not assume frictionless transfers precisely when markets and institutions are stressed. International coordination arrangements are relevant evidence, but their existence does not establish that every action can be executed within the required window. Identify the responsible authorities and the unresolved information or legal dependencies. [F14] [F15]

Processes and dependencies often cross administrative, organizational or national boundaries. Coordination requires compatible definitions, useful timing, authorized exchange and an identifiable decision interface. Sharing data does not by itself resolve disagreements over objectives, risk allocation or resources. An exercise should expose which decision can be coordinated under existing arrangements and which would require an additional agreement or competent determination.

Coordination across functional boundaries
Boundary / dependencyMechanism to coordinateCase record
Digital infrastructurePayments need identity, networks and data integrityIdentify the actors, notification time, information definition and decision interface for this boundary.
EnergyFinancial operations require continuous powerIdentify the actors, notification time, information definition and decision interface for this boundary.
Water and sanitationUtilities rely on payments, insurance and creditIdentify the actors, notification time, information definition and decision interface for this boundary.
HealthProviders depend on payments and working capitalIdentify the actors, notification time, information definition and decision interface for this boundary.
LogisticsTrade finance and payments support deliveriesIdentify the actors, notification time, information definition and decision interface for this boundary.
AgricultureSeasonal production depends on credit and insuranceIdentify the actors, notification time, information definition and decision interface for this boundary.

Section readings [F14; F15; C07]

PART V

TFP calibration intelligence

SECTION 15

Position (P): candidate observations

A candidate P construct should represent the remaining capacity to preserve a specified financial function under the scenario. Usable cash, eligible collateral, settlement capacity and loss absorption describe different dimensions and should remain visible before aggregation. A resource unavailable in the required currency or entity should not be counted as immediate headroom. Define the horizon and obligation being protected. An average system ratio can conceal a critical node with no remaining capacity. The purpose of a composite, if used, is to support a transparent decision, not to erase the timing and contractual details that determine feasibility. [F03] [F22]

P represents position relative to a specified loss of function. The raw observation, reference condition, direction of deterioration and boundary of failure must remain explicit. A candidate monotone transformation can help compare states within a defined case, but it does not establish the threshold or validate an aggregate index. Capacity, delivered performance and exposure may require different indicators even when they concern the same installation.

Thirty candidate observations for P and related case questions
#Candidate observationUnit or definitionInterpretation and data requirement
1Cashflow gap by time bucketcurrency unitsUse contractual and behavioural assumptions separately
2Usable liquidity buffercurrency unitsExclude unavailable or operationally inaccessible resources
3Liquidity buffer by currencycurrency unitsDo not net currencies without a justified conversion path
4Deposit outflowpercent per intervalDisaggregate depositor concentration and insured status where lawful
5Wholesale rollover ratepercentReport maturity, counterparty and secured status
6Unencumbered eligible collateralcurrency unitsApply stated eligibility and valuation assumptions
7Asset encumbrancepercentRetain legal entity and collateral location
8Repo haircutpercentReport collateral type, counterparty and maturity
9Margin calls duecurrency units per intervalSeparate variation margin and other collateral demands
10Stressed liquidation capacitycurrency units per dayState price-impact and market-depth assumptions
11Bid-ask spreadbasis pointsUse comparable instruments and trading conditions
12Executable market depthcurrency unitsDefine price distance and observed execution venues
13Price impactprice change per traded amountEstimate by market regime and instrument
14Funding spreadbasis pointsState reference rate, maturity and credit component
15Maturity concentrationpercent due within stated horizonSeparate contractual from modelled renewal
16Counterparty exposurecurrency unitsRecord gross, net, collateral and legal-netting basis
17Largest counterparty concentrationpercent of relevant resourcesSpecify denominator and exposure type
18Portfolio overlapdefined similarity measureUse holdings date and instrument granularity
19Leverage ratiospecified assets-to-capital ratioState accounting perimeter and measurement basis
20Capital loss-absorption headroomcurrency units or percentUse the case-specific applicable definition
21Nonperforming exposure sharepercentRecord classification policy and lag
22Interest-rate sensitivityvalue change per rate shockSeparate valuation and cashflow effects
23Uninsured funding concentrationpercentUse jurisdiction-specific definitions and data quality
24Settlement completionpercentDistinguish final settlement from message acceptance
25Payment queue ageminutesTrack high-priority and delayed obligations separately
26Critical service availabilitypercentPair availability with transaction integrity
27Recovery-test completionpercent of critical functionsRequire evidence of end-to-end continuity
28Conditional systemic-risk metricspecified model unitsRecord estimation window and underlying assumptions
29Climate-exposure concentrationpercent of specified portfolioMap classifications to an explicit scenario
30Legal-entity liquidity mobilitycurrency units within stated timeVerify transfer, currency and operational constraints

A didactic monotone transformation for an indicator that worsens as it rises is p = clip[(x − x_ref)/(x_failure − x_ref), 0, 1]. Reverse the direction for a reserve that deteriorates as it falls. The expression makes the reference points visible; it does not choose those points, prove comparability or establish an operational aggregate. Retain x in its original unit and justify the function separately for each case.

Section readings [F03; F22]

SECTION 16

Velocity (ΔV): rates and trajectory

Velocity is central when withdrawals, collateral calls or payment queues develop faster than institutions can respond. Measure outflow and buffer depletion at a frequency appropriate to the mechanism. A daily average can conceal an intraday shortage, while a short burst should not be extrapolated mechanically over a longer horizon. Separate actual cash movement from valuation changes and revised classifications. Compare deterioration with the demonstrated time needed to mobilise resources and authorise action. The question is not only how much stress exists, but whether a feasible response remains available before the next binding obligation. [F16] [F17]

ΔV describes direction and rate of change over a declared interval. Two systems at the same apparent position may have different reaction times because their trajectories differ. Compare rates using consistent units, observation windows and reference systems. Check seasonality, missing periods, reporting changes and process acceleration before extrapolating. A time-to-boundary calculation is conditional on its trajectory assumption; it is not a general forecast.

Ten families of rate-of-change observations
ProcessRate / unitInterpretation
Deposit withdrawal accelerationpercentage points per hourUse intraday data where available and avoid extrapolating a constant rate
Liquidity-buffer depletioncurrency units per hourSeparate outflows, valuation and reclassification
Margin-call growthcurrency units per intervalCompare with settlement deadlines and usable cash
Haircut increasepercentage points per dayTrack comparable collateral and counterparties
Market-depth losscurrency units per hourDistinguish quote withdrawal from observed execution
Funding-spread wideningbasis points per dayRetain maturity and reference-rate consistency
Forced-sale accumulationcurrency units per dayIdentify actual sales versus planned sales
Credit-quality migrationpercent of exposure per monthUse consistent classification rules
Payment-backlog growthtransactions or value per minuteMeasure arrivals minus final settlements
Unresolved critical-control findingsfindings per monthWeight by consequence and overdue remediation rather than count alone

Section readings [F16; F17]

SECTION 17

Uncertainty (σ): evidence and model limits

Financial uncertainty includes incomplete exposures, unknown behavioural responses, stressed market depth, legal enforceability and model specification. A confidence interval on a market-based measure does not capture every one of these uncertainties. Distinguish measurement lag from scenario uncertainty and from an assumed causal structure. Conditional co-movement can identify a warning without proving a particular contagion channel. Report results under alternative plausible withdrawal, recovery and price-impact assumptions. The most useful uncertainty statement identifies which observation would change the decision and which conclusion remains stable across the tested assumptions. [F11] [F12]

Uncertainty should be recorded by object and source. Measurement uncertainty, sampling limitations, parameter uncertainty, model structure, future scenarios and institutional ambiguity cannot be replaced by one unsupported percentage. More simulation samples can reduce numerical sampling error without resolving a missing mechanism. Identify which uncertainty changes the decision and which further observation, comparison or test could reduce it.

Case-analysis method
Source of uncertaintyObject affectedTreatment
MeasurementInstrument error, drift, reference system and quality controls.Calibration, cross-check and traceable metadata.
SamplingSpatial, temporal or population coverage.A design matched to the decision and exposed groups.
ParametersValues weakly identified by available observations.Estimation, sensitivity and alternatives.
Model structureProcesses excluded or represented inadequately.Competing models and tests outside the fitting conditions.
ScenarioUncertain future demand, environment or operating practice.A declared set of plausible trajectories.
DependenceCorrelated conditions or failures treated as independent.Joint analysis and explicit common-cause hypotheses.
InstitutionsUnverified duties, access or resource availability.Documentary checks and mobilization tests.
Unknown mechanismsA plausible process with insufficient evidence.A research question and decisions robust to the unresolved gap.

Section readings [F11; F12; C06]

SECTION 18

Reversibility liquidity (Lr): usable recovery resources

Recoverability concerns continuity of critical functions under operational and legal constraints. It is not equivalent to restoring every asset value or returning every institution to its previous structure. Inventory usable liquidity, collateral mobilisation, trusted payment processing, decision authority and the records needed for recovery or resolution. Test resources in the entity, currency and time window where they are needed. A plan is evidence of preparation, while an exercise or demonstrated operation supplies evidence of feasibility. Separate private recovery options from public resolution actions, whose authority and availability cannot simply be assumed in a simulation. [F14] [F15]

Lr examines resources that can preserve, contain or recover the defined function within the relevant time. A resource listed in an inventory is different from a resource that is accessible, compatible, staffed and mobilizable. Record capacity, useful arrival time, duration, dependencies and evidence of testing. Avoid averaging away an essential bottleneck. Recovery of a service does not necessarily restore ecological condition, accumulated losses or public trust.

Recovery resources to verify in the case
Recovery resourceAvailability or mobilization questionVerification or dependency
Usable cashLocated in the required entity and currencyVerify availability before settlement deadlines
Eligible collateralUnencumbered assets meeting counterparties’ conditionsTest valuation, custody and mobilisation
Committed facilitiesDocumented terms and operational accessDistinguish commitments from assumed emergency support
Payment continuity arrangementsTested alternate channels and settlement proceduresVerify finality and transaction integrity
Reliable exposure recordsCurrent obligations, netting and collateral dataReconstruct counterparty and time-bucket positions
Loss-absorbing resourcesResources under the applicable institutional frameworkIdentify entity, seniority and legal constraints
Operational recovery environmentTrusted systems, keys and personnelDemonstrate critical transactions after restoration
Authorised decision rosterInstitutional and public roles with alternatesRecord powers, contacts and decision timing
Communication protocolConsistent information to relevant stakeholdersTest independent channels and update cadence
Recovery and resolution plansScenario-specific sequences and acceptance criteriaVerify feasibility rather than treating the document as capability

Section readings [F14; F15]

PART VI

Scenario and simulation intelligence

SECTION 19

Stress scenarios and comparative strategies

Scenarios should isolate and combine distinct channels: a concentrated funding outflow, a common-asset price shock, collateral calls, a payment-system outage and a physical disruption affecting borrowers. Include a scenario in which resources exist at group level but are unavailable at the required entity. The point is to identify binding constraints and robust actions, not to declare a universal crisis probability. Historical cases supply plausible sequences and questions. Their exact magnitudes should be transferred only when the exposure base, contractual structure and market conditions justify the comparison. [F16] [F17] [F18]

A stress scenario states the initiating condition, prior state, time sequence, exposed function, shared dependencies and feasible responses. Its purpose is to reveal when a strategy loses usefulness and why. Compare alternatives across several conditions, including absent substitutes and simultaneous demand. Scenarios should lead to observations, tests and resource questions; assigning a precise event probability requires a separate justified model and evidence.

Five domain-anchored stress-test designs · N1
ScenarioInitiating mechanismObservation designStrategy comparison
A · Deposit runMany depositors demand payment within a short intervalCheck which observation distinguishes onset, propagation and loss of the defined function.Compare current practice, improved readiness and a structural alternative; remove one shared prerequisite.
B · Margin-call cascadeMarket moves create simultaneous cash demandsCheck which observation distinguishes onset, propagation and loss of the defined function.Compare current practice, improved readiness and a structural alternative; remove one shared prerequisite.
C · Currency mismatchCash is unavailable in the currency dueCheck which observation distinguishes onset, propagation and loss of the defined function.Compare current practice, improved readiness and a structural alternative; remove one shared prerequisite.
D · Cyber compromiseData or instruction integrity is lostCheck which observation distinguishes onset, propagation and loss of the defined function.Compare current practice, improved readiness and a structural alternative; remove one shared prerequisite.
E · Model monocultureSimilar rules synchronise trading or risk responsesCheck which observation distinguishes onset, propagation and loss of the defined function.Compare current practice, improved readiness and a structural alternative; remove one shared prerequisite.

Section readings [F16; F17; F18]

SECTION 20

Reproducible simulation and sensitivity analysis

A quantitative stress exercise must specify balance-sheet identities, obligation timing, loss allocation and behavioural responses. Independent draws of asset losses will miss a common portfolio shock; a fixed price model will miss fire-sale feedback. Network-clearing and market-based methods answer different questions and should be compared with those limits visible. Retain parameter provenance, distributions and sensitivity results. A simulated shortfall is conditional on the scenario and model, not a forecast or an institutional recommendation. Report which critical functions fail and when, because an aggregate end-period loss can hide an earlier liquidity interruption. [F03] [F04] [F12]

Simulation is an explicit transformation of assumptions. Input distributions, dependencies, parameter estimation, output definition and testing must be documented. Numerical convergence does not establish model validity. Examine sensitivity to the function used, the weights selected, dependence assumptions and conditions outside the fitting data. The reproducible laboratory below is a synthetic exercise, separated from SPS and from any claim about real-event frequency.

Reproducible synthetic laboratory · N2
ElementSpecification
Samples and seed10,000 samples; Python Random; seed 2743319735.
Reference centersP = 0.72; ΔV = 0.62; σ = 0.40; Lr = 0.38.
Latent dispersion0.40, 0.45, 0.30, 0.40, respectively.
Common-factor loading0.65, 0.55, 0.35, −0.45, respectively.
Dependence constructionz_j = a_j g + √(1 − a_j²) ε_j; g and ε_j are independent standard normal draws.
Bounded transformationx_j = logistic[logit(m_j) + s_j z_j].
Learning outputQ = 0.35P + 0.25ΔV + 0.15σ + 0.25(1 − Lr).
Comparison conditionQ ≥ 0.70, selected only for this synthetic laboratory.
Calculated outputs under the declared assumptions
StatisticValue
Mean0.617
5th percentile0.515
Median0.620
95th percentile0.709
Fraction with Q ≥ 0.707.15%

The factor loadings define association on the latent scale. Correlations after the nonlinear transform should be estimated from the simulated samples. Q is a teaching index and is not SPS. Its exceedance fraction concerns the generated sample under these assumptions; it is not the probability of a real event or a forecast over a stated number of years. A temporal forecast would require a separately specified process and observation model.

Reproduce the calculation in Python
from random import Random
from math import log, exp, sqrt
from statistics import mean
rng = Random(2743319735)
m = [.72, .62, .40, .38]
s = [.40, .45, .30, .40]
a = [.65, .55, .35, -.45]
q = []
for _ in range(10000):
    g = rng.gauss(0, 1)
    x = []
    for mj, sj, aj in zip(m, s, a):
        z = aj*g + sqrt(1-aj*aj)*rng.gauss(0, 1)
        x.append(1/(1+exp(-(log(mj/(1-mj))+sj*z))))
    p, v, u, lr = x
    q.append(.35*p+.25*v+.15*u+.25*(1-lr))
q.sort()
print(mean(q), q[499], (q[4999]+q[5000])/2, q[9499])
print(sum(x >= .70 for x in q)/len(q))

Sensitivity exercise: remove the common factor, vary one dispersion, change the weight of recovery resources, and compare the ranking of the selected strategies. Then state which domain observations would be needed to replace each illustrative assumption. Use a suitable estimator when inputs are dependent; the common-factor experiment is a dependence check, not a claim that a particular Sobol estimator applies unchanged.

Section readings [F03; F04; F12; C03; C06]

SECTION 21

Restoration and performance verification

A restoration simulation should follow the sequence from evidence reconciliation to resource mobilisation, payment processing and acceptance of critical-function continuity. Include staffing, authorisation and data-integrity checks, not only financial amounts. A system can have adequate resources while instructions are delayed or records cannot be trusted. Test a minimum viable payment path and identify which obligations remain unresolved. Where a scenario includes failure management, distinguish the actions available to the institution from those reserved to public authorities. The exercise should expose missing dependencies and decision delays rather than assume that every listed option is executable. [F14] [F15]

Restoration follows prerequisites and verification conditions rather than a universal fixed clock. Tasks may proceed in parallel only where they do not compete for the same people, access, equipment or information. Protect essential functions while the critical path is addressed. Define what is measured before returning service, who can make that determination and which effects require continued observation after a technical restart.

Case-analysis method
StageAction and prerequisiteEvidence of usable progress
Protect essential usersProvide a feasible interim function while restoration proceeds.Coverage and actual receipt.
Restore prerequisitesRecover access, inputs, energy, information and competent personnel.Verified availability for the next task.
Restore the processRepair and operate the affected function within its relevant constraints.Technical tests matched to the failure mechanism.
Verify performanceMeasure the delivered outcome and remaining exposure.A predeclared verification record.
Authorize and communicateRecord who can declare the relevant return condition.Clear status, limitations and notification.
Follow upMonitor persistent effects and resolve causal and monitoring gaps.A review record and tracked corrective actions.

Section readings [F14; F15]

PART VII

Restoration and recovery architecture

SECTION 22

Recovery provider capability

A provider supporting financial recovery should demonstrate task-specific competence and the authority to perform the relevant work. Payment-system restoration, collateral operations, data reconstruction and legal resolution support require different expertise. Record independence, conflicts, access controls and the scope of any assurance claim. An external analyst cannot validate the availability of a facility merely by citing its description. Ask for operational tests, custody arrangements and the responsible institution’s acceptance criteria. Supplier concentration should also be mapped because multiple providers may rely on the same digital platform, market infrastructure or specialist team during a common shock. [F14] [F20]

Capability assessment must be specific to the task, place and stress conditions. A training certificate cannot demonstrate that a team can mobilize and deliver the required function. Inspect competence, safety, compatibility, relevant experience and actual availability. Define the verification method and limits of recognition. This teaching library does not establish a c-ECO provider certification scheme or substitute for professional or regulatory requirements.

Case-analysis method
CapabilityVerification
Technical capabilityEvidence relevant to the specific task, process and failure mechanism.
MobilizationA demonstrated route, team, equipment and useful arrival time.
CompatibilityProof that resources can work with the installation, data and local constraints.
Safety and responsibilitiesRelevant professional duties, safe work and accountable supervision.
VerificationPerformance tests, records and independent review proportionate to the task.
ContinuitySubstitutes and supplies under simultaneous demand or extended interruption.

Section readings [F14; F20]

SECTION 23

Recovery sequencing and time constraints

Recovery sequencing should preserve trustworthy records, identify obligations and deadlines, stabilise critical operations and mobilise resources that are actually available. Subsequent steps depend on whether the problem is temporary liquidity, sustained loss or operational compromise. Do not use a solvency intervention to explain a payment-processing repair, or assume an operational restart resolves a funding shortage. Each transition needs evidence and an authorised decision owner. Track unsettled obligations and residual reconciliation tasks separately from system availability. This keeps a nominal return to normal from concealing unresolved claims or unsafe processing. [F14] [F15] [F18]

A recovery time objective is a decision criterion to test against real capacity. Distinguish mobilization, work, verification and decision time, and identify dependencies between tasks. Shared resources can prevent apparently parallel activities from proceeding together. Repeating the sequence with unavailable access, a specialist or a verification service reveals where a target relies on an untested assumption.

Case-analysis method
Sequencing itemCase requirement
Task and functionDefine the outcome, prerequisites and critical users.
Time componentsSeparate mobilization, execution, verification and decision time.
Shared resourcesIdentify people, equipment, access and systems needed by more than one task.
Parallel workDemonstrate that tasks can proceed together without competing for the same bottleneck.
Completion conditionSpecify the observation that permits the next task or return of the function.
SensitivityRepeat with unavailable resources or longer lead times to expose the critical path.

Section readings [F14; F15; F18]

SECTION 24

Equipment, inputs and replenishment

The resource inventory should identify amount, location, currency, maturity, encumbrance, eligibility and mobilisation time. A headline asset value does not establish a usable source of cash. Include trusted data, personnel and operational access because those determine whether financial resources can be deployed. Test commitments against their conditions and avoid counting assumed emergency assistance as a pre-positioned resource. The inventory should be joined to the time-bucket analysis so that a reviewer can see which obligation has no matching resource. Update dates and valuation assumptions are part of the evidence, not administrative decoration. [F05] [F22]

Inventory analysis connects each item to a protected function. Use condition, compatibility, accessibility and consumption under stress rather than a nominal stock count alone. Replenishment time must include procurement, transport, installation and verification where relevant. A substitute that depends on the same supplier or platform may disappear in the same event. Keep the last inspection date and the evidence supporting usable availability.

Case-analysis method
Inventory fieldVerification
SpecificationIdentity, quantity, condition, compatibility and installation requirements.
AvailabilityLocation, access rights, expiry where relevant and verification date.
Stress consumptionUseful stock under the conditions studied, including losses and surge demand.
ReplenishmentSupplier, lead time, transport constraints and alternatives.
Common dependenceOther stocks or substitutes that share a supplier, access route, platform or energy source.
TestEvidence from inspection, deployment or a representative mobilization exercise.

Section readings [F05; F22]

SECTION 25

Mutual aid and cooperation arrangements

Mutual assistance in financial systems is constrained by contracts, regulation, risk limits and the condition of the assisting party. Do not assume that a counterparty can supply liquidity or operational support during a system-wide shock simply because it can do so in normal times. Record committed terms, authorisation, collateral and delivery timing where relevant. For operational aid, define access to sensitive records and the acceptance of reconstructed transactions. Exercises should include simultaneous demand on the same provider. Available assistance is the support that can be delivered under the stated scenario, rather than a broad statement of institutional cooperation. [F14] [F18]

Cooperation contributes to recovery when its scope, activation, resources and practical availability are demonstrated. Record who requests support, who authorizes it, the useful arrival time, responsibility for the work and conditions of return. Consider simultaneous demand across participants. A reference to an organization or network in the literature does not imply that c-ECO or a case partner has joined it or secured a deployment commitment.

Case-analysis method
Agreement elementQuestion
ActivationWho can request and authorize support, and on what documented basis?
ResourceWhat can actually be supplied, at what capacity and for how long?
DeliveryWhich access, transport, compatibility, information and safety conditions apply?
SimultaneityWhat happens when several participants need the resource at the same time?
ResponsibilityWhich actor controls the task and its records, verification and constraints?
ReviewHow are performance, remaining gaps and revised arrangements recorded?

Section readings [F14; F18]

PART VIII

Research and source library

SECTION 26

Source classification and evidence quality

Classify sources by their evidentiary role. Balance-sheet records describe positions at a date; transaction data describe flows; market prices reflect traded conditions; research models examine mechanisms; official investigations document a bounded event. These are complementary and can disagree for legitimate reasons. Record perimeter, frequency and revisions. A market-based risk measure is not a direct observation of every counterparty exposure, while an exposure network can omit the market feedback that drives common losses. Source classification should help reviewers understand the inference being made rather than treat every official or peer-reviewed item as interchangeable validation. [F03] [F11] [F12]

Source classes organize origin and function; they do not form an automatic hierarchy of evidential strength. An official statistic, an operational record and a causal study answer different questions. Classify the product, not only the organization. Detect shared data origins so that a dashboard, article and secondary report based on one observation are not counted as three independent confirmations.

Case-analysis method
Source classContributionQuality criterion
A · Institutional / officialOfficial statistics, instruments, technical guidance and investigation records.Mandate, method, version, scope and actual applicability.
B · Operational / technicalMeasurements, process records, assets, inventories and delivered performance.Traceability, coverage, quality controls and usable access.
C · Academic / independentResearch designs, mechanism studies, models and independent observations.Methods, inference, reproducibility and fit to the question.

Section readings [F03; F11; F12; C04; C05]

SECTION 27

Institutional, regulatory and technical sources

International bodies provide principles, policy analysis and comparable terminology for critical financial functions. Their publications should be cited by edition and purpose. A foundational liquidity document is useful for understanding measurement, but current local requirements need separate verification. A resolution-policy framework describes desired institutional capabilities without granting powers to the learning project. Extract the relevant analytical question: which function must continue, which resources absorb loss, who can act and what information must be available? The usefulness of the framework lies in making those questions concrete and reviewable, not in displaying an institutional logo. [F14] [F15] [F22]

Institutional sources should be selected by product, method and scale. Record whether the source defines a requirement, observes a condition, reports an investigation or synthesizes a literature. A current portal may contain several editions and methods; cite the actual version used. Public access does not establish accuracy for a different question, and a restricted source can still be used only under its authorized conditions.

Institutional and technical source register
IDProduct / documentWhy it matters
[F14]Principles for Financial Market InfrastructuresCore principles for market-infrastructure risk management; implementation and legal applicability are jurisdiction-specific.
[F15]Key Attributes of Effective Resolution Regimes for Financial InstitutionsInternational resolution-policy resource; powers depend on domestic law and responsible authorities.
[F16]Review of the Federal Reserve’s Supervision and Regulation of Silicon Valley BankPrimary review of risk management and supervisory issues surrounding a bank failure.
[F17]Financial Stability Buy/Sell Tools: A Gilt Market Case StudyPrimary account of the 2022 gilt-market intervention and liability-driven investment stress.
[F18]Holistic Review of the March Market TurmoilPrimary synthesis of pandemic-related liquidity stress and intermediation constraints.
[F19]Findings Regarding the Market Events of May 6, 2010Primary report on interacting trading dynamics in the Flash Crash.
[F20]In the Matter of Knight Capital Americas LLCPrimary order documenting controls and deployment issues associated with the 2012 trading incident.
[F21]Annual Economic Report 2020, Chapter II: A Monetary Lifeline—Central Banks’ Crisis ResponseOfficial context for pandemic market stress and policy responses.
[F22]Basel III: The Liquidity Coverage Ratio and Liquidity Risk Monitoring ToolsFoundational liquidity measurement document; current applicable rules must be checked in the relevant jurisdiction.

Section readings [F14; F15; F22]

SECTION 28

Operational observations and monitoring products

Operational and market sources include payment queues, funding transactions, collateral records, order books and provider incident reports. Their interpretation depends on coverage and timing. Quoted depth may disappear before execution; a settlement message may not establish finality; a funding spread can reflect several components. Align sources to a common time basis and retain the original definitions. During disruption, missing records can be informative about operational failure but should not be read as zero activity. A reconstructed event timeline should show data gaps, revisions and the difference between observed transactions and inferred intentions. [F19] [F20]

Operational observations should show what the system delivered, not merely that an asset was declared available. Inspect the acquisition process, sensor or reporting changes, gaps, coverage and quality controls. Compare records with independent observations where feasible. Aggregated performance, a status dashboard and user experience can diverge because they concern different units, locations, periods or definitions of availability.

Observation products to obtain for the case
ObservationUnitInterpretationProvenance record
Cashflow gap by time bucketcurrency unitsUse contractual and behavioural assumptions separatelyRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Usable liquidity buffercurrency unitsExclude unavailable or operationally inaccessible resourcesRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Liquidity buffer by currencycurrency unitsDo not net currencies without a justified conversion pathRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Deposit outflowpercent per intervalDisaggregate depositor concentration and insured status where lawfulRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Wholesale rollover ratepercentReport maturity, counterparty and secured statusRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Unencumbered eligible collateralcurrency unitsApply stated eligibility and valuation assumptionsRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Asset encumbrancepercentRetain legal entity and collateral locationRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Repo haircutpercentReport collateral type, counterparty and maturityRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Margin calls duecurrency units per intervalSeparate variation margin and other collateral demandsRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Stressed liquidation capacitycurrency units per dayState price-impact and market-depth assumptionsRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Bid-ask spreadbasis pointsUse comparable instruments and trading conditionsRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Executable market depthcurrency unitsDefine price distance and observed execution venuesRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.

Section readings [F19; F20]

SECTION 29

Academic research and independent evidence

Academic methods should be selected for the causal question. Clearing models analyse obligations and recovery under specified rules; portfolio-overlap models examine indirect losses from common holdings; conditional market measures estimate stress-related co-movement or shortfall. No method replaces the others automatically. Compare assumptions with the case’s contracts, markets and data. A network metric can screen potentially influential nodes but cannot establish legal responsibility or predict a unique crisis path. The learning exercise should explain which channel the method represents, which channels it excludes and what additional evidence would test its relevance. [F03] [F08] [F10] [F11]

Read the research design before transferring a conclusion. Identify the question, unit of analysis, method, comparison, result, limitations and conditions that matter for the case. Foundational concepts, empirical studies, critical replications and technical syntheses serve different functions. A literature-supported mechanism may justify a hypothesis without validating a local threshold, forecasting performance or a complete TFP application.

Academic reading map: mechanisms and methods
IDResearch workContribution and limit
[F01]Bank Runs, Deposit Insurance, and LiquidityCanonical model of liquidity transformation and run equilibria under explicit assumptions.
[F02]Financial ContagionStudies how financial link structure affects transmission of liquidity shocks.
[F03]Systemic Risk in Financial SystemsA clearing-network model; important assumptions include the treatment of obligations and recovery.
[F04]Liquidity Risk and ContagionLinks asset sales, prices and regulatory constraints in a contagion model.
[F05]Market Liquidity and Funding LiquidityModels mutually reinforcing funding and market-liquidity conditions.
[F06]Systemic Risk in Banking EcosystemsA conceptual perspective on interconnected financial stability; ecological analogies require explicit translation.
[F07]Securitized Banking and the Run on RepoEmpirical and institutional analysis of secured funding stress during the financial crisis.
[F08]DebtRank: Too Central to Fail? Financial Networks, the FED and Systemic RiskNetwork distress-impact method; results depend on the chosen exposure network.
[F09]Systemic Risk and Stability in Financial NetworksShows why the effect of connectivity depends on shock magnitude and network structure.
[F10]Vulnerable BanksConnects overlapping portfolios and fire-sale vulnerability.
[F11]CoVaRA conditional market-based systemic-risk measure; not a structural causal network by itself.
[F12]SRISK: A Conditional Capital Shortfall Measure of Systemic RiskEstimates conditional capital shortfall using market and balance-sheet information.
[F13]A Climate Stress-Test of the Financial SystemStudies climate-policy exposure through financial networks under scenario assumptions.
[C01]Identifying, understanding, and analyzing critical infrastructure interdependenciesDistinguishes physical, cyber, geographic and logical dependencies; use the categories to formulate a case-specific dependency hypothesis.
[C02]Understanding Compound, Interconnected, Interacting, and Cascading Risks: A Holistic FrameworkProvides distinctions for examining interacting risks and propagation; a plausible pathway still needs evidence in the case.
[C03]Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity indexMethodological reference for sensitivity analysis; assumptions about independence and the model structure must accompany the chosen estimator.
[C04]The FAIR Guiding Principles for scientific data management and stewardshipGuides metadata and reuse. Accessible data may still have legitimate authorization and protection requirements.
[C07]A general framework for analyzing sustainability of social-ecological systemsSupports a structured inquiry into actors, resources, institutions and interactions; institutional interpretation must be adapted to the system studied.

Section readings [F03; F08; F10; F11]

PART IX

Evidence matrices and historical intelligence

SECTION 30

Source–variable correspondence

A source-to-variable matrix should make the lineage of every indicator visible. Identify the raw position or transaction, valuation date, unit, legal entity, currency and transformation. Separate contractual cashflows from behavioural estimates and distinguish gross exposures from netted amounts. A correction to collateral eligibility may change usable liquidity without changing total assets. Preserve both the original observation and the revised interpretation. This allows reviewers to reconstruct what was known at each decision time and prevents a later restatement from silently improving the apparent quality of the earlier analysis. [F12] [F22]

The source–variable matrix exposes the path from an observation to an analytical representation. Preserve the raw unit, time, location, method, transformation and uncertainty. Multiple derived variables may share one observation and therefore share its limitations. Record the code or reproducible procedure, authorized access and version. A score should remain inspectable through its originating evidence rather than replacing that evidence.

Source–variable design matrix
ObservationUnitSource requirementCandidate analytical questionTransformation and limit
Cashflow gap by time bucketcurrency unitsUse contractual and behavioural assumptions separatelyP / stateVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Usable liquidity buffercurrency unitsExclude unavailable or operationally inaccessible resourcesP and ΔV / trajectoryVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Liquidity buffer by currencycurrency unitsDo not net currencies without a justified conversion pathσ / evidence qualityVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Deposit outflowpercent per intervalDisaggregate depositor concentration and insured status where lawfulLr / usable resourcesVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Wholesale rollover ratepercentReport maturity, counterparty and secured statusP / stateVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Unencumbered eligible collateralcurrency unitsApply stated eligibility and valuation assumptionsP and ΔV / trajectoryVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Asset encumbrancepercentRetain legal entity and collateral locationσ / evidence qualityVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Repo haircutpercentReport collateral type, counterparty and maturityLr / usable resourcesVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Margin calls duecurrency units per intervalSeparate variation margin and other collateral demandsP / stateVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Stressed liquidation capacitycurrency units per dayState price-impact and market-depth assumptionsP and ΔV / trajectoryVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Bid-ask spreadbasis pointsUse comparable instruments and trading conditionsσ / evidence qualityVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Executable market depthcurrency unitsDefine price distance and observed execution venuesLr / usable resourcesVerify whether the observation supports this analytical use; preserve the raw record and transformation.

Section readings [F12; F22; C04; C05]

SECTION 31

Source–risk correspondence

A source-to-risk matrix should identify which mechanism a dataset can support. Holdings data help examine common-asset exposure but may be too infrequent for intraday liquidity. Payment records reveal settlement stress but may not identify the ultimate cause. Public market measures can signal joint distress without resolving hidden bilateral claims. Mark the coverage limit and the evidence needed to distinguish competing explanations. Reusing the same price series in several indicators does not create independent confirmation. The matrix should lead to a targeted investigation rather than equate the presence of a source with a validated risk parameter. [F08] [F11] [F19]

A source–risk matrix should cover the threat, the observed state, the mechanism and the consequences separately. Evidence that an event occurred does not alone show why a function failed or who was affected. Use a chronology and alternative explanations to test the chain. A citation becomes useful when the specific part of the claim it supports and its limits are visible.

Source–risk evidence matrix
RiskProposed mechanismEvidence chainInvestigation requirement
Deposit runMany depositors demand payment within a short intervalThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Wholesale funding withdrawalShort-term creditors stop rolling obligationsThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Repo haircut increaseMore collateral is required for the same fundingThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Margin-call cascadeMarket moves create simultaneous cash demandsThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Fire-sale feedbackForced sales depress shared asset valuesThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Counterparty defaultMissed obligations transmit losses through exposuresThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Portfolio overlapCommon holdings create indirect contagionThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Collateral concentrationMany obligations rely on a narrow asset setThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Asset encumbrancePledged assets cannot freely support new liquidityThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Currency mismatchCash is unavailable in the currency dueThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.

Section readings [F08; F11; F19]

SECTION 32

Monitoring gaps and research priorities

Monitoring gaps are often concentrated in non-bank leverage, collateral chains, legal-entity transfers and rapidly changing intraday positions. Public reporting may be too delayed or aggregated for a short action window. Build a gap register stating the affected inference, a defensible temporary proxy and the conditions under which the proxy fails. Absence of observed exposure is not evidence that the exposure is zero. A scenario can explore plausible bounds, but the result must retain that conditional status. The analytical priority is to discover which missing observation could materially change the assessment of critical-function continuity. [F18] [F12]

Prioritize a gap by its consequence for the decision. The next observation may be a targeted measurement, an independent comparison, a capability test or a correction of incompatible definitions. More data of the same kind may not resolve structural uncertainty. Specify the question, required observation, responsible custodian, time of collection and condition under which the gap is considered sufficiently addressed.

Case-analysis method
Monitoring gapDecision consequenceInvestigation
Spatial coverageExposed locations, groups or assets are not represented.Targeted observations matched to exposure.
Temporal resolutionA change occurs faster than the collection interval.A sampling interval fitted to the process and useful decision time.
Missing periodA critical part of the trajectory is absent.Independent backup and transparent missing-data handling.
Changing methodA sensor, reference or reporting practice changes.Overlap, comparison and version metadata.
Unmeasured mechanismImportant inputs or consequences are not observed.A mechanism-specific investigation and appropriate measurement.
Unverified resourcesA listed capacity has not been mobilized.Inspection and a representative deployment test.
Incompatible definitionsDatasets describe different populations, units or conditions.A documented harmonization and retained original values.
Access restrictionEvidence cannot be inspected or reused under current conditions.An authorized access and review arrangement.
Unequal representationSome users or effects disappear in aggregates.Disaggregated observation and a suitable participatory protocol.
Post-event follow-upReturn of service masks persistent effects.A monitoring period appropriate to the mechanism and affected function.

Section readings [F18; F12; C03]

SECTION 33

Dependency matrix and propagation tests

Cross-domain financial analysis should trace a specific payment, credit, insurance or collateral channel. A flood may damage borrowers, interrupt utility revenue and increase claims at the same time; a digital outage may prevent otherwise funded payments. These mechanisms operate on different horizons and should not be compressed into one sector correlation. Identify the receiving function, its time tolerance and the available alternative. The purpose is to understand where a financial interruption could constrain an essential service and where a physical or institutional disruption could create financial stress, without drifting into the Institute’s own business planning. [F13] [F14]

Overlapping portfolios connect institutions that have no direct lending relationship. One institution’s sale can impose valuation losses on others holding the same assets.

Margin calls convert valuation changes into immediate cash demands. A position that is economically hedged over a long horizon may still require substantial short-term liquidity.

Operational dependencies can interrupt financial functions independently of balance-sheet strength. Payments require trustworthy identity, connectivity, data and settlement infrastructure.

A dependency matrix should be directional and time-specific. Record the supplying function, receiving function, mechanism, useful delay, substitute and evidence. Test the destination when the origin becomes unavailable for different periods. Then remove a common prerequisite of the substitute. The resulting structure describes the case; it does not establish all connections in a global architecture or validate an edge weight.

Dependency matrix for case testing
DependencyMechanism and directionVerification or TFP inquiryContext
Digital infrastructurePayments need identity, networks and data integrityFinancial interruption restricts essential-service transactionsTest settlement and trusted offline alternatives
EnergyFinancial operations require continuous powerEnergy-price shocks affect collateral and borrowersMap operational and balance-sheet channels separately
Water and sanitationUtilities rely on payments, insurance and creditService disruptions affect household and enterprise cashflowsPrioritise continuity of critical utility transactions
HealthProviders depend on payments and working capitalDisruption can affect service access and claimsIdentify time-critical financial functions
LogisticsTrade finance and payments support deliveriesTransport disruption changes inventories and credit qualityMap cashflow timing to essential supply chains
AgricultureSeasonal production depends on credit and insuranceClimate shocks correlate borrower lossesUse crop, season and regional exposure data
Urban infrastructureProjects and municipalities depend on funding marketsPhysical damage and refinancing stress can interactSeparate project liquidity from long-term viability
GovernanceAuthorities define supervision and resolution powersInstitutional delays can constrain continuity measuresRecord actual decision authority and information exchange
AI systemsModels support trading, risk and fraud detectionCommon errors can synchronise financial actionsRetain independent review and bounded automation
Emergency responseRapid relief requires payment capabilityDisasters create simultaneous cash and claims demandsTest accessible payment and claims continuity

For each relationship, add the measured delay, duration of tolerable interruption, substitute and observation supporting the directed edge. Repeat the test for short, intermediate and extended unavailability. A generic list of linked sectors is not an estimated network, and no edge weight is validated by inclusion in this table.

Section readings [F13; F14; C01; C02]

SECTION 34

Documented cases, near misses and recovery

Historical cases should be compared by channel and evidence type. Repo stress illustrates secured-funding vulnerability; the Flash Crash concerns market dynamics; Knight Capital exposes operational and control failures; March 2020 and the LDI episode show liquidity feedback; the SVB review examines management and supervisory weaknesses around a bank failure. These records are not interchangeable observations from one population. Ask which assumption failed, how quickly stress developed and what resource or decision constrained response. Transfer the causal question to the present case while retaining the original institutional and temporal boundaries. [F07] [F16] [F17] [F18] [F19] [F20]

Historical analysis distinguishes observed loss, protective response, near miss and recovery. Several records can concern one event without becoming independent events. Preserve what the source actually investigated and avoid adding unsupported casualty, cost or restoration-time estimates. Compare cases by mechanism and evidence quality; the fact that one response was associated with an outcome does not alone establish a general causal effect.

Documented cases and comparative learning
Case / periodDocumented mechanism or study objectLearning and transfer questionSource
Repo funding stress, 2007–2008Haircuts and secured-funding conditions deteriorated with collateral uncertaintyStudy funding and collateral feedback rather than only unsecured bank deposits[F07]
Flash Crash, May 2010Interacting trading dynamics produced severe temporary market dislocationAnalyse execution rules, liquidity withdrawal and cross-market coupling[F19]
Knight Capital trading incident, August 2012Deployment and market-access control weaknesses allowed erroneous ordersTreat software change control as part of financial-system continuity[F20]
March market turmoil, 2020A broad demand for liquidity interacted with intermediation constraintsStress simultaneous selling and cash demand across banks and non-banks[F18]
UK gilt and LDI stress, September 2022Collateral demands and forced gilt selling created feedbackCompare valuation hedges with short-term cash needs and market depth[F17]
Silicon Valley Bank failure, March 2023Risk-management and supervisory weaknesses interacted with concentrated funding and rate exposureMap balance-sheet vulnerability, depositor behaviour and decision timing together[F16]

Section readings [F07; F16; F17; F18; F19; F20]

SECTION 35

Integrated review, transfer and learning portfolio

Financial data can illuminate cross-domain stress only when economic interpretation accompanies technical integrity. A securely stored price can still be stale, an exposure can be legally unenforceable and a liquidity commitment can be unusable in the required currency. Preserve measurement quality, contractual context, provenance and model assumptions as separate layers. Cross-domain use should report the critical function being analysed and the confidence limits on the proposed channel. The resulting evidence supports scientific review and authorised institutional decisions; it is neither investment advice nor an automatic forecast of failure for a named institution. [F03] [F13] [F14]

The integrated portfolio should allow a reviewer to move from the question to observations, transformations, mechanism tests, scenarios and proposed monitoring. Make the strongest competing explanation and the most consequential unresolved gap visible. Transfer requires checking mechanisms, exposure and recovery resources in the new setting. Formation, optional credentialing, submission permission and licensing remain distinct processes; no case or data contribution enters the SIL without an associated fellow and applicable review.

Case-analysis method
Review stepEvidence requirement
SpecifyState the function, claim, exposed group, location and period.
TraceIdentify original observations, shared origins and transformations.
HarmonizeCompare units, reference systems, sampling and versions.
ChallengeTest alternative explanations and seek counter-evidence.
Evaluate uncertaintyIdentify which assumptions change the conclusion or recommended action.
Test transferCheck equivalence of mechanisms, exposure and recovery resources in another setting.
Record and updatePreserve reasons, limits, responsibility and the next review condition.

Section readings [F03; F13; F14; C04; C05]

RESEARCH AND READING PATHS

Annotated scientific and technical bibliography

The section citations connect domain mechanisms, methods and cases to the underlying sources. Read each reference for its question, design, findings and limits. Technical guides, case investigations and scholarly articles do not provide interchangeable forms of evidence.

  1. F01 · research

    Diamond, D. W.; Dybvig, P. H. (1983). Bank Runs, Deposit Insurance, and Liquidity. Journal of Political Economy 91(3), 401–419.

    Original publication / source ↗

    Canonical model of liquidity transformation and run equilibria under explicit assumptions.

  2. F02 · research

    Allen, F.; Gale, D. (2000). Financial Contagion. Journal of Political Economy 108(1), 1–33.

    Original publication / source ↗

    Studies how financial link structure affects transmission of liquidity shocks.

  3. F03 · research

    Eisenberg, L.; Noe, T. H. (2001). Systemic Risk in Financial Systems. Management Science 47(2), 236–249.

    Original publication / source ↗

    A clearing-network model; important assumptions include the treatment of obligations and recovery.

  4. F04 · research

    Cifuentes, R.; Ferrucci, G.; Shin, H. S. (2005). Liquidity Risk and Contagion. Journal of the European Economic Association 3(2–3), 556–566.

    Original publication / source ↗

    Links asset sales, prices and regulatory constraints in a contagion model.

  5. F05 · research

    Brunnermeier, M. K.; Pedersen, L. H. (2009). Market Liquidity and Funding Liquidity. Review of Financial Studies 22(6), 2201–2238.

    Original publication / source ↗

    Models mutually reinforcing funding and market-liquidity conditions.

  6. F06 · research perspective

    Haldane, A. G.; May, R. M. (2011). Systemic Risk in Banking Ecosystems. Nature 469, 351–355.

    Original publication / source ↗

    A conceptual perspective on interconnected financial stability; ecological analogies require explicit translation.

  7. F07 · research

    Gorton, G.; Metrick, A. (2012). Securitized Banking and the Run on Repo. Journal of Financial Economics 104(3), 425–451.

    Original publication / source ↗

    Empirical and institutional analysis of secured funding stress during the financial crisis.

  8. F08 · research

    Battiston, S.; Puliga, M.; Kaushik, R.; Tasca, P.; Caldarelli, G. (2012). DebtRank: Too Central to Fail? Financial Networks, the FED and Systemic Risk. Scientific Reports 2, 541.

    Original publication / source ↗

    Network distress-impact method; results depend on the chosen exposure network.

  9. F09 · research

    Acemoglu, D.; Ozdaglar, A.; Tahbaz-Salehi, A. (2015). Systemic Risk and Stability in Financial Networks. American Economic Review 105(2), 564–608.

    Original publication / source ↗

    Shows why the effect of connectivity depends on shock magnitude and network structure.

  10. F10 · research

    Greenwood, R.; Landier, A.; Thesmar, D. (2015). Vulnerable Banks. Journal of Financial Economics 115(3), 471–485.

    Original publication / source ↗

    Connects overlapping portfolios and fire-sale vulnerability.

  11. F11 · research

    Adrian, T.; Brunnermeier, M. K. (2016). CoVaR. American Economic Review 106(7), 1705–1741.

    Original publication / source ↗

    A conditional market-based systemic-risk measure; not a structural causal network by itself.

  12. F12 · research

    Brownlees, C.; Engle, R. F. (2017). SRISK: A Conditional Capital Shortfall Measure of Systemic Risk. Review of Financial Studies 30(1), 48–79.

    Original publication / source ↗

    Estimates conditional capital shortfall using market and balance-sheet information.

  13. F13 · research

    Battiston, S.; Mandel, A.; Monasterolo, I.; Schütze, F.; Visentin, G. (2017). A Climate Stress-Test of the Financial System. Nature Climate Change 7, 283–288.

    Original publication / source ↗

    Studies climate-policy exposure through financial networks under scenario assumptions.

  14. F14 · official technical

    CPSS; IOSCO (2012). Principles for Financial Market Infrastructures. BIS / IOSCO.

    Original publication / source ↗

    Core principles for market-infrastructure risk management; implementation and legal applicability are jurisdiction-specific.

  15. F15 · official technical

    Financial Stability Board (2024). Key Attributes of Effective Resolution Regimes for Financial Institutions. Revised version, 2024.

    Original publication / source ↗

    International resolution-policy resource; powers depend on domestic law and responsible authorities.

  16. F16 · official case

    Federal Reserve Board (2023). Review of the Federal Reserve’s Supervision and Regulation of Silicon Valley Bank. April 2023.

    Original publication / source ↗

    Primary review of risk management and supervisory issues surrounding a bank failure.

  17. F17 · official case

    Bank of England (2023). Financial Stability Buy/Sell Tools: A Gilt Market Case Study. Quarterly Bulletin.

    Original publication / source ↗

    Primary account of the 2022 gilt-market intervention and liability-driven investment stress.

  18. F18 · official case

    Financial Stability Board (2020). Holistic Review of the March Market Turmoil. 17 November 2020.

    Original publication / source ↗

    Primary synthesis of pandemic-related liquidity stress and intermediation constraints.

  19. F19 · official case

    CFTC; SEC (2010). Findings Regarding the Market Events of May 6, 2010. Joint staff report, 30 September 2010.

    Original publication / source ↗

    Primary report on interacting trading dynamics in the Flash Crash.

  20. F20 · official case

    SEC (2013). In the Matter of Knight Capital Americas LLC. Exchange Act Release 34-70694, 16 October 2013.

    Original publication / source ↗

    Primary order documenting controls and deployment issues associated with the 2012 trading incident.

  21. F21 · official analysis

    BIS (2020). Annual Economic Report 2020, Chapter II: A Monetary Lifeline—Central Banks’ Crisis Response. BIS Annual Economic Report.

    Original publication / source ↗

    Official context for pandemic market stress and policy responses.

  22. F22 · official technical

    Basel Committee on Banking Supervision (2013). Basel III: The Liquidity Coverage Ratio and Liquidity Risk Monitoring Tools. BIS publication d238.

    Original publication / source ↗

    Foundational liquidity measurement document; current applicable rules must be checked in the relevant jurisdiction.

  23. C01 · peer-reviewed

    Rinaldi, S. M.; Peerenboom, J. P.; Kelly, T. K. (2001). Identifying, understanding, and analyzing critical infrastructure interdependencies. IEEE Control Systems Magazine, 21(6), 11–25.

    Original publication / source ↗

    Distinguishes physical, cyber, geographic and logical dependencies; use the categories to formulate a case-specific dependency hypothesis.

  24. C02 · peer-reviewed

    Pescaroli, G.; Alexander, D. (2018). Understanding Compound, Interconnected, Interacting, and Cascading Risks: A Holistic Framework. Risk Analysis, 38, 2245–2257.

    Original publication / source ↗

    Provides distinctions for examining interacting risks and propagation; a plausible pathway still needs evidence in the case.

  25. C03 · peer-reviewed

    Saltelli, A. et al. (2010). Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index. Computer Physics Communications, 181, 259–270.

    Original publication / source ↗

    Methodological reference for sensitivity analysis; assumptions about independence and the model structure must accompany the chosen estimator.

  26. C04 · peer-reviewed

    Wilkinson, M. D. et al. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3, 160018.

    Original publication / source ↗

    Guides metadata and reuse. Accessible data may still have legitimate authorization and protection requirements.

  27. C05 · standard

    W3C (2013). PROV-DM: The PROV Data Model. W3C Recommendation, 30 April 2013.

    Original publication / source ↗

    Represents provenance through entities, activities and agents; useful for connecting a result to its transformations and responsible contributors.

  28. C06 · technical guide

    JCGM (2008). Evaluation of measurement data — Supplement 1 to the GUM — Propagation of distributions using a Monte Carlo method. JCGM 101:2008.

    Original publication / source ↗

    A methodological basis for propagating input distributions through a specified model, rather than treating simulated frequency as an observed event probability.

  29. C07 · peer-reviewed

    Ostrom, E. (2009). A general framework for analyzing sustainability of social-ecological systems. Science, 325, 419–422.

    Original publication / source ↗

    Supports a structured inquiry into actors, resources, institutions and interactions; institutional interpretation must be adapted to the system studied.

External sources are cited for research and learning. Their inclusion implies no partnership, certification or institutional endorsement.