The calibration of initial shocks in bank stress test scenarios: An outlier detection based approach

Olivier Darné, Guy Levy-Rueff and Adrian Pop

Economic Modelling, 2024, vol. 136, issue C

Abstract: The shock scenarios used in the practice of stress testing are often based on ad hoc hypotheses concerning the evolution of risk factors. Consequently, they have been criticized for reflecting mild and temporary shocks maintained over very short periods. The aim of this article is to propose methodological improvements to the design and calibration of initial shocks based on the detection of outliers and structural breaks in (macro)economic and financial data. Our results of the real-world implementation of outlier detection algorithms show that the dynamics of shocks, the length of the stress horizons, and their magnitude are sensitive to the type and nature of the considered risk factor. The inferred stress horizon is longer (one to two years) for macroeconomic variables like GDP, real estate or oil prices, than for interest rate variables and the slope of the yield curve (six months).

Keywords: Stress testing; Stress scenarios; Financial crises; Macroprudential regulation (search for similar items in EconPapers)
JEL-codes: C15 G20 G28 G32 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecmode:v:136:y:2024:i:c:s0264999324001007

DOI: 10.1016/j.econmod.2024.106744

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