Micro-prudential reverse stress testing as a credit risk management tool
Impact of Bayesian statistics integration
DOI:
https://doi.org/10.59051/joaf.v15i1.768Keywords:
reverse stress test, BSVAR, prior distribution, structural approach, scenariosAbstract
Purpose: This article aims to apply the reverse micro-prudential stress test to credit risk at the Bank for Financing Small and Medium Enterprises (BFPME).
Methodology: It is based on econometric estimations conducted on a quarterly sample of seven (07) variables over the period 2006-2021, incorporating the BSVAR approach of Sims and Zha (1998).
Results: The estimation results demonstrate that the integration of structural Bayesian approach overcomes the limitations of the classical model. The reverse stress test scenario reveals that the credit portfolio of BFPME is expected to turn into NPLs by the end of 2025.
Originality of the article: The article introduces an innovative approach by exploring the integration of Bayesian methods into stress tests, as well as the precise determination of reverse stress test scenarios through prior distribution. It emphasizes the importance for banks to adopt this approach to surpass the limitations of the classical models and add a dimension of decision-makers' reflection.
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