Liquidity Coverage at Risk

Building on the Liquidity Coverage Ratio, this paper introduces the notion of Liquidity Coverage at Risk (LCRisk), which is the probability that a bank faces an illiquidity episode in the next 30 days. LCRisk is characterized by a closed-form expression and it can be derived utilizing information embedded in the bank's balance sheet, thereby capturing the close association between liquidity and the volatility of both assets and liabilities. Furthermore, the LCRisk framework enables the calculation of the liquidity buffer, indicating the necessary adjustment of liquid assets to ensure that LCRisk remains below a predetermined probability threshold. In the empirical analysis, we calculate LCRisk for a cohort of European banks, demonstrating the efficacy of this measure in serving as an early indicator of potential liquidity risks.

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Publication Details

Journal
Quantitative Finance
Published
2025-02-01
DOI
https://doi.org/10.1080/14697688.2025.2457366
Citations
1
Primary Topic
Credit Risk and Financial Regulations
Type
article
Field-Weighted Citation Impact
2.21
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article

Liquidity Coverage at Risk

Virginia Pugliese, Giacomo Morelli, Paolo Santucci de Magistris
1 citations
Quantitative Finance
Credit Risk and Financial Regulations
2.21
article

Liquidity Coverage at Risk

Virginia Pugliese, Giacomo Morelli, Paolo Santucci de Magistris
article en
1 citations

Abstract

Building on the Liquidity Coverage Ratio, this paper introduces the notion of Liquidity Coverage at Risk (LCRisk), which is the probability that a bank faces an illiquidity episode in the next 30 days. LCRisk is characterized by a closed-form expression and it can be derived utilizing information embedded in the bank's balance sheet, thereby capturing the close association between liquidity and the volatility of both assets and liabilities. Furthermore, the LCRisk framework enables the calculation of the liquidity buffer, indicating the necessary adjustment of liquid assets to ensure that LCRisk remains below a predetermined probability threshold. In the empirical analysis, we calculate LCRisk for a cohort of European banks, demonstrating the efficacy of this measure in serving as an early indicator of potential liquidity risks.

Quantitative FinanceVol. 25(2)
Bank of England (GB), Libera Università Internazionale degli Studi Sociali Guido Carli (IT), Sapienza University of Rome (IT)
Openalex Percentile: Top 17%
Credit Risk and Financial Regulations
2.21
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Liquidity Coverage at Risk — Virginia Pugliese, Giacomo Morelli, et al. · Quantitative Finance (2025) | TGRS Research Map | TGRS