RE: 86p breached21 Nov 2025 11:25
@ASI
The question:
Do risk models in Lloyds bank use conjecture, hypothesis and possibilities to make decisions
The answer:
Yes, risk models at Lloyds Bank, like those in the wider banking sector, inherently rely on conjecture, hypothesis, and the exploration of possibilities. This is particularly evident in their use of stress testing, scenario analysis, and the modeling of complex or emerging risks.
Role of Hypothesis and Conjecture
Modeling Assumptions: While based on historical data where possible, internal risk models require assumptions (hypotheses) about how risks behave and interact. For instance, modeling the impact of higher capital requirements necessitates hypotheses about how this would affect a bank's cost of funds.
Expert Judgement: For novel or ill-defined risks, such as certain types of behavioral or operational risk, expert judgement (a form of informed conjecture) is used to set the initial model framework. For example, the bank defines behavioral risk based on "habitual patterns of behaviour" that lead to future issues, which are initially informed by expert assessments.
Regulatory Scrutiny: These hypotheses and conjectures are not arbitrary. They are reviewed and approved through internal governance procedures, as evidenced in Lloyds Bank's Pillar 3 disclosures.
Role of Possibilities and Scenarios
Stress Testing: Lloyds Bank participates in stress tests orchestrated by the Bank of England (BoE) that are built around "hypothetical but plausible" scenarios. These tests are not forecasts but explore extreme possibilities, such as severe economic downturns, high inflation, and significant falls in property prices, to assess the bank's resilience.
Scenario Analysis: The bank uses its "Capital and Liquidity Contingency Framework" to consider different hypothetical scenarios during times of stress. This involves identifying key metrics and associated actions for various potential states of the economy.
Emerging Risks: As highlighted by KPMG and other risk assessments, banks must use scenario-driven evaluations to deal with emerging risks, including those related to technology, geopolitics, and climate events, that lack sufficient historical data.
In short, while Lloyds Bank employs sophisticated data-driven models, these models are structured and informed by expert judgment, testable hypotheses, and the exploration of various potential future scenarios.