Stress Testing as a Banking Risk Assessment Tool: A Review of International Practice, Methods and Methodology

Stress testing is a broad research area, at the interference of many disciplines (finance, banking, econometrics, macroeconomics, microeconomics, mathematical analysis etc.), and is of interest to both theoretical scientists and practitioners. The usefulness of this approach became evident after the financial crisis of 2007–2009, which prompted many researchers to develop and constantly improve stress-testing methodologies, using which it is possible to accurately forecast the behavior of banks and the financial sector in crisis periods. It allows banks to assess the scale of losses and timely take the necessary measures to strengthen the financial condition. Today, economic science has the biggest arsenal of stress testing methods that allow us to assess potential losses in crisis periods that correspond to extreme but plausible events. The stress testing methodologies cover all-important types of risks (credit, interest rate risk, liquidity risk etc.), as well as specific risks. The presence of a huge number of stress testing methods guarantees its versatility and depth, which could be explained by the attempt using this methods to create a behavior model of banks, which are quite complex in structure and functionality. The purpose of this study is to provide a concise, but at the same time comprehensive classification of stress testing methods, as well as a review of the current approaches to stress testing or to solving its various aspects (for example, developing stress scenarios) presented by scientists, international organizations, central banks and other interested parties. This paper is an introduction to the vast field of analytics – stress testing, and is oriented to banking and financial analysts, macroeconomists who want either to familiarize themselves with stress testing as a tool for assessing banking risks, or to systematize all the accumulated knowledge in this area in order to better understand economic processes.

stress-testing, financial stability, banking risks, credit risk, interest rate risk of banking book, interest rate of trading book, liquidity risk, stress scenario

1. Bank of Russia (2017). The Concept of Macroprudential Stress Testing. Consultation paper (in Russian).

2. Bidzhoyan D, Bogdanova T., Neklyudov D. (2019). Credit Risk Stress Testing in a Cluster of Russian Commercial Banks. Journal Business-Informatics, no. 3 (13), pp. 35–51 (in Russian). DOI: 10.17323/1998-0663.2019.3.35.51

3. Danilova E., Rumyantsev E., Shevchuk I. (2018). Review of the Bank of Russia – ​IMF workshop ‘Recent Developments in Macroprudential Stress Testing’. Russian Journal of Money & Finance, no. 77 (4), pp. 60–83 (in Russian). DOI: 10.31477/rjmf.201804.60

4. Acharya V., Engle R., Pierret D. (2014). Testing macroprudential stress tests: The risk of regulatory risk weights. Journal of Monetary Economics, no. 65, pp. 36–53.

5. Anand V., Engle R., Traclet V. (2014). Stress-testing the Canadian banking system: a system-wide approach. Bank of Canada, Financial System Review, pp. 61–68.

6. Bank of England (2019a). Stress testing the UK banking system: key elements of the 2019 annual cyclical scenario, рp. 16.

7. Bank of England (2019b). Financial Stability Report.

8. Bank of England (2019c). Life insurance stress test 2019. Scenario specification, Guidelines and Instructions.

9. Bank of England (2019d). Stress testing the UK banking system: 2019 guidance for participating banks and building societies.

10. Bank of International Settlement (2000). Stress testing by large financial institutions: current practice and aggregation issues.

11. Basel Committee on Banking Supervision (1996). Amendment to the capital accord to incorporate market risk.

12. Basel Committee on Banking Supervision (2009). Principles for sound stress testing practices and supervision.

13. Basel Committee on Banking Supervision (2018). Stress-testing principles.

14. Baudino P. Goetschman R., Henry J., Taniguchi K., Weisha Zhu (2018). Stress-testing banks – ​a comparative analysis. Financial Stability Institute Insights on policy implementation, no. 12.

15. Bidzhoyan D., Bogdanova T. (2018). Russian banks credit risk stress-testing based on the publicly available data. Advances in Intelligent Systems and Computing, no. 850, pp. 262–271.

16. Blaschke W., Jones T., Magnoni G., Peria S.-M. (2001). Stress-testing of financial systems: an overview of issues, methodologies, and FSAP experience. IMF Working Paper. WP/01/88.

17. Braouezec Y., Wagalath L. (2018). Risk-based capital requirements and optimal liquidation in a stress scenario. Review of finance, no. 22 (2), pp. 747–782.

18. Breuer T., Csiszar I. (2013). Systematic stress test with entropic plausibility constraints. Journal of banking and finance, no. 37(5), pp. 1552–1559.

19. Breuer T., Jandacka M., Reinberger K., Summer M. (2009). How to Find Plausible, Severe and Useful Stress Scenarios. International Journal of Central Banking, no. 5 (3), pp. 205–224.

20. Breuer T., Jandacka M., Reinberger K., Summer M. (2009). How to find plausible, severe and useful stress scenarios. International Journal of Central Banking, no. 5 (3), pp. 205–224.

21. Breuer T., Summer M. (2017). Solvency stress testing of banks: Current practice and novel options. Report for the Sveriges Riksbank and Finansinspektionen.

22. Breuer T., Krenn G. (1999). Stress testing. Guidelines on market risk. Oesterreichische National Bank, vol. 5.

23. Buncic D., Melecky M. (2013). Macroprudential stress testing of credit risk: A practical approach for policy makers. Journal of Financial Stability, no. 9 (3), pp. 347–370.

24. Busch R., Memmel C. (2015). Banks’ net interest margin and the level of interest rates. Deutsche Bundesbank Discussion Papers, no. 16.

25. Chengcheng H., Alam M. M., Carling K. (2010). Review of the literature of credit risk modelling: development of the past 10 years. Banks and Bank System, no. 5 (3), pp. 34.

26. Cihák M. (2007). Introduction to applied stress testing. IMF Working Papers (7–59), pp. 1–74.

27. Comprehensive Capital Analysis and Review 2019: Assessment Framework and Results. Board of Governors of The Federal Reserve System

28. Cont R., Wagalath L. (2012). Fire sales forensics: Measuring endogenous risk. Mathematical finance, no. 26 (4), pp. 835–866.

29. Covas F. B., Rump B., Zarkajsek E. (2014). Stress-testing US bank holding companies: A dynamic quantile regression approach. International Journal of Forecasting, no. 30 (3), pp. 691–713.

30. Curti F., Migueis M., Stewart R. (2019). Benchmarking operational risk stress testing models. Finance and Economics Discussion Series 2019–038. Washington: Board of Governors of the Federal Reserve System.

31. Daniels T., Duijm Liedorp F., Mokas D. (2017). A top-down stress testing framework for the Dutch banking sector. Netherland Bank, Occasional Studies, no. 15 (3).

32. Dees S., Henry J., Martin R. (2017). STAMP€: stress-test analytics for macroprudential purposes in the euro area. European Central Bank.

33. Demekas D. (2015). Designing effective macroprudential stress tests: progress so far and the way forward. IMF Working paper WP/15/146.

34. Dent K., Segoviano M., Westwood B. (2016). Stress testing of banks: an introduction. Bank of England Quarterly Bulletin Q3, pp. 130–143.

35. Dodd-Frank Act Stress Test 2019: Supervisory stress test results. Board of Governors of The Federal Reserve System.

36. Dunstan A. (2016). Summary of the dairy portfolio stress testing exercise. Reserve Bank of New Zealand Bulletin, no. 79 (5), pp. 10.

37. Espinosa-Vega M.A., Sole J. (2014). A guide to IMF Stress Testing: Methods and Models. Chapter Introduction to the network analysis approach to stress testing. International Monetary Fund, pp. 205–209.

38. European Banking Authority (2011). 2011 EU-wide stress test: results.

39. European Banking Authority (2014). 2014 EU-wide stress test: results.

40. European Banking Authority (2016). 2016 EU-wide stress test: results.

41. European Banking Authority (2018). 2018 EU-wide stress test: results.

42. European Banking Authority (2020). 2020 EU-wide stress test: methodological note.

43. European Central Bank (2010). Stress testing banks in crisis. Financial stability Review.

44. European Central Bank (2014). Comprehensive assessment stress test manual.

45. European Central Bank (2018a). Euro area financial institutions. Financial stability Review, ch. 3.

46. European Central Bank (2018b). ECB Guide to the Internal Liquidity Adequacy Assessment Process (ILAAP).

47. Feldkircher M., Fenz G., Ferstl R., Krenn G., Neudorfer B., Puhr C., Reininger T., Schmitz S., Schneider M., Seibenbrunner C., Sigmund M., Spitzer R. (2013). ARNIE in action: the 2013 FSAP stress tests for the Austrian banking system. Central Bank of Republic of Austria, Financial Stability Report, pp. 100–118.

48. Foglia A. (2008). Stress Testing Credit Risk: A Survey of Authorities' Approaches. International Journal of Central Banking, no. 5 (3), pp. 9–45.

49. Gianakopulos J. (2012). The leverage cycle. University of Chicago Press, 204, ch. 1, pp. 1–65.

50. Hao C., Alam M. M., Carling K. (2010). Review of the literature of credit risk modelling: development of the past 10 years. Banks and Bank System, no. 5 (3), pp. 34.

51. Henry J., Kok C. (2013). A macro stress test framework for assessing systemic risks in the banking sector. ECB Occasional Paper Series, no. 152.

52. Husselman R., Wahrenburg M. (2018). How demanding and consistent is the 2018 stress test design in comparison to previous exercises? ECON committee.

53. Jobst A. A., Lian Ong Li, Schmieder C. (2017). Macroprudential liquidity stress testing in FSAPs for systematically important financial systems. IMF Working Paper, WP/17/102.

54. Jorge A., Chan-Lau (2017). Lasso regression in forecasting models in applied stress testing. IMF Working Paper WP/17/108.

55. Kapinos P., Mitnik O. (2015). A top-down approach to stress-testing of banks. Journal of Financial Services Research, no. 49 (2), рр. 229–264.

56. Kulakova A. (2019). Stress-testing of russian banking sector: contingent claim analysis approach. NEKN02 Master Essay I.

57. Li Lian Ong (2014). A guide to IMF stress testing. Methods and models.

58. Louzis D. P., Vouldis A. T., Metaxas V. L. (2012). Macroeconomic and bank specific determinants of non-performing loans in Greece: A comparative study of mortgage, business and consumer loan portfolios. Journal of Banking and Finance, no. 36 (4), pp. 1012–1027.

59. Melecky M. and Podpiera A-M (2010) Macroprudential stress-testing practices of central banks in central and south eastern Europe: an overview and challenges ahead. Policy Research Working Paper WPS5434.

60. Meucci A. (2010). Fully flexible views: Theory and practice. Risk, no. 21 (10), pp. 97–102.

61. Mokinski Feider (2017). A severity function approach selection. Deutsche Bundesbank Discussion Papers 34/2017.

62. Nagpal K. M. (2017). Designing stress scenarios for portfolios. Risk Management. Risk Management, no. 19, pp. 323–349. DOI: 10.1057/s41283-017-0024-x.

63. Papadopoulos G., Papadopoulos S., Sager T. (2016). Credit risk stress testing of EU15 banks: a model combination approach. Bank of Greece Working Paper 203, pp. 1–41.

64. Paraschiv F., Mudry P.-A., Andries A. M. (2016). Stress-testing for portfolios of commodity futures with extreme value theory and copula functions. Economics and modelling, no. 50, pp. 9–18. DOI 10.1007/978-3-319-20430-7_3.

65. Pritsker M. (2017). Choosing stress scenarios for systemic risk through dimension reduction. Federal Reserve Bank of Boston Working Paper. WP17-04.

66. Shleifer A., Vishny R. (2011). Fire sales in finance and macroeconomics. Journal of economics perspective, no. 25 (1), pp. 29–48.

67. Vazquez F., Tabak B. M., Souto M. (2012). A macro stress test model of credit risk for the Brazilian banking sector. Journal of Financial Stability, no. 8 (2), pp. 69–83.