Dynamic deposit behaviours in IRRBB: Enhancing risk management through sensitivity analysis

The banking industry is inherently exposed to interest rate risk, which arises from the mismatch between the interest rate sensitivities of assets and liabilities. This mismatch can lead to significant fluctuations in a bank’s net interest income (NII) and economic value of equity (EVE) when interest rates change. In recent years, dynamic deposit behaviours have emerged as a significant factor influencing interest rate risk in the banking book (IRRBB). Conventional asset liability management (ALM) models often overlook the evolving nature of deposit betas, product mixes and decay rates, resulting in suboptimal risk assessments. This paper advocates for integrating dynamic modelling approaches while acknowledging the importance of sensitivity analysis to bridge the gap between static and dynamic frameworks. By embedding these techniques into ALM practices, banks can improve IRRBB management, effectively balancing complexity and simplicity while better addressing depositor behaviour in fluctuating interest rate environments.

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Publication Details

Journal
Journal of risk management in financial institutions
Published
2025-03-01
DOI
https://doi.org/10.69554/pwtd6508
Primary Topic
Hydraulic Fracturing and Reservoir Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Dynamic deposit behaviours in IRRBB: Enhancing risk management through sensitivity analysis

C.Z. Chen
Journal of risk management in financial institutions
Hydraulic Fracturing and Reservoir Analysis
article

Dynamic deposit behaviours in IRRBB: Enhancing risk management through sensitivity analysis

C.Z. Chen
article en

Abstract

The banking industry is inherently exposed to interest rate risk, which arises from the mismatch between the interest rate sensitivities of assets and liabilities. This mismatch can lead to significant fluctuations in a bank’s net interest income (NII) and economic value of equity (EVE) when interest rates change. In recent years, dynamic deposit behaviours have emerged as a significant factor influencing interest rate risk in the banking book (IRRBB). Conventional asset liability management (ALM) models often overlook the evolving nature of deposit betas, product mixes and decay rates, resulting in suboptimal risk assessments. This paper advocates for integrating dynamic modelling approaches while acknowledging the importance of sensitivity analysis to bridge the gap between static and dynamic frameworks. By embedding these techniques into ALM practices, banks can improve IRRBB management, effectively balancing complexity and simplicity while better addressing depositor behaviour in fluctuating interest rate environments.

Journal of risk management in financial institutionsVol. 18(2)
Openalex Percentile: Top 96%
Hydraulic Fracturing and Reservoir Analysis
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