Liquidity by Uncertainty Model (LUM): Модель управления ликвидностью через контроль неопределённости
Description
Liquidity by Uncertainty Model (LUM) presents a rigorous structural framework for liquidity analysis in systems where obligations have uncertain execution windows and cannot be meaningfully modeled as stochastic or repeatable events.
The model defines liquidity risk as the supremum of a load function generated by intersections of obligation intervals. The central theorem establishes a necessary and sufficient condition for liquidity stability: the system remains stable under all admissible realizations of temporal uncertainty if and only if the available reserve B satisfies B≥R, where R denotes the maximal structural load.
LUM introduces a topological representation of uncertainty intervals and a functional interpretation of liquidity risk that is independent of probabilistic assumptions. It is shown that commonly used probabilistic tools—such as Value at Risk (VaR), Expected Shortfall (ES), Probability of Default (PD), fat-tail models, correlations, and covariance matrices—lack ontological validity in systems composed of unique, non-replicable obligations.
The model serves as a foundational element of a broader structural approach to risk, in which risk is treated not as a probabilistic quantity but as a geometric and topological property of obligations and their temporal configuration.
Notes (Russian)
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Liquidity by Uncertainty Model (LUM).Модель управления ликвидностью через контроль неопределённости.pdf
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