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How to Improve the Model Selection Procedure in a Stress-testing Framework

Author

Listed:
  • Jiri Panos
  • Petr Polak

Abstract

This paper aims to introduce a contemporary, computing-power-driven approach to econometric modeling in a stress-testing framework. The presented approach explicitly takes into account model uncertainty of satellite models used for projecting forward paths of financial variables employing the constrained Bayesian model averaging (BMA) technique. The constrained BMA technique allows for selecting models with reasonably severe but plausible trajectories conditional on given macro-financial scenarios. It also ensures that the modeling is conducted in a sufficiently robust and prudential manner despite the limited time-series length for the explained and/or explanatory variables.

Suggested Citation

  • Jiri Panos & Petr Polak, 2019. "How to Improve the Model Selection Procedure in a Stress-testing Framework," Working Papers 2019/9, Czech National Bank.
    • Handle: RePEc:cnb:wpaper:2019/9
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    File URL: https://www.cnb.cz/export/sites/cnb/en/economic-research/.galleries/research_publications/cnb_wp/cnbwp_2019_09.pdf
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    References listed on IDEAS

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    1. repec:cnb:ocpubc:tafs2019/3 is not listed on IDEAS
    2. Antonella Foglia, 2009. "Stress Testing Credit Risk: A Survey of Authorities' Aproaches," International Journal of Central Banking, International Journal of Central Banking, vol. 5(3), pages 9-45, September.
    3. Mr. Dale F Gray, 2013. "Modeling Banking, Sovereign, and Macro Risk in a CCA Global VAR," IMF Working Papers 2013/218, International Monetary Fund.
    4. Thomas Breuer & Martin Jandacka & Klaus Rheinberger & Martin Summer, 2009. "How to Find Plausible, Severe and Useful Stress Scenarios," International Journal of Central Banking, International Journal of Central Banking, vol. 5(3), pages 205-224, September.
    5. Pavel Kapinos & Oscar A. Mitnik, 2016. "A Top-down Approach to Stress-testing Banks," Journal of Financial Services Research, Springer;Western Finance Association, vol. 49(2), pages 229-264, June.
    6. Castrén, Olli & Dées, Stéphane & Zaher, Fadi, 2010. "Stress-testing euro area corporate default probabilities using a global macroeconomic model," Journal of Financial Stability, Elsevier, vol. 6(2), pages 64-78, June.
    7. Siemsen, Thomas & Vilsmeier, Johannes, 2017. "A stress test framework for the German residential mortgage market: Methodology and application," Discussion Papers 37/2017, Deutsche Bundesbank.
    8. Louzis, Dimitrios P. & Vouldis, Angelos T. & Metaxas, Vasilios 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 & Finance, Elsevier, vol. 36(4), pages 1012-1027.
    9. Hirtle, Beverly & Kovner, Anna & Vickery, James & Bhanot, Meru, 2016. "Assessing financial stability: The Capital and Loss Assessment under Stress Scenarios (CLASS) model," Journal of Banking & Finance, Elsevier, vol. 69(S1), pages 35-55.
    10. Adam Gersl & Petr Jakubik & Tomas Konecny & Jakub Seidler, 2012. "Dynamic Stress Testing: The Framework for Testing Banking Sector Resilience Used by the Czech National Bank," Working Papers 2012/11, Czech National Bank.
    11. Sorge, Marco & Virolainen, Kimmo, 2006. "A comparative analysis of macro stress-testing methodologies with application to Finland," Journal of Financial Stability, Elsevier, vol. 2(2), pages 113-151, June.
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    Cited by:

    1. David Mazáček & Jiří Panoš, 2022. "Key determinants of new residential real estate prices in Prague," FFA Working Papers 5.002, Prague University of Economics and Business, revised 11 Apr 2023.

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    More about this item

    Keywords

    Bayesian model averaging; model selection; model uncertainty; probability of default; stress testing;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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