A macroeconomic reverse stress test

Peter Grundke () and Kamil Pliszka
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Peter Grundke: Osnabrueck University

Review of Quantitative Finance and Accounting, 2018, vol. 50, issue 4, No 5, 1093-1130

Abstract: Abstract Reverse stress tests are a relatively new stress test instrument that aims at finding exactly those scenarios that cause a bank to cross the frontier between survival and default. Afterward, the scenario which is most probable has to be identified. This paper sketches a framework for a quantitative reverse stress test for maturity-transforming banks that are exposed to credit and interest rate risk and demonstrates how the model can be calibrated empirically. The main features of the proposed framework are: (1) the necessary steps of a reverse stress test (solving an inversion problem and computing the scenario probabilities) can be performed within one model, (2) scenarios are characterized by realizations of macroeconomic risk factors, (3) principal component analysis helps to reduce the dimensionality of the space of systematic risk factors, (4) due to data limitations, the results of reverse stress tests are exposed to considerable model and estimation risk, which makes numerous robustness checks necessary.

Keywords: Copula functions; Extreme value theory; Principal component analysis; Reverse stress testing (search for similar items in EconPapers)
JEL-codes: C22 C51 C53 G21 G32 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (7)

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DOI: 10.1007/s11156-017-0655-8

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