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A Top-down Stress-testing Framework for the Nonfinancial Corporate Sector

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  • Vojtech Siuda

Abstract

This paper provides a framework for conducting simulations and stress testing in the non-financial corporations sector. It relies on national accounting and uses a set of input-output tables to track the propagation of shocks between parts of the sector while staying fully consistent with the big picture framed by the core forecasting model and the underlying scenario. The simulation framework allows standard macroeconomic developments to be captured, but one-off measures such as government wage and salary compensation and loan moratoria can also be easily implemented. The main output of the simulation is a set of industry-level performance and profitability variables. These variables can be used for various types of analysis, such as credit risk modelling and profitability and liquidity analysis. Some of them - such as the forecasting of portfolio default rates via learning process - are shown in the paper. The historical default rate estimates obtained are accurate and economically sensible for the majority of industries and exhibit a high degree of reliability even under very severe economic conditions. Given its national accounting framework and its level of detail, the model can be used to support decision-making processes and to evaluate the effects of existing or planned economic policies. Two different scenarios are considered to demonstrate the benefits of the proposed approach.

Suggested Citation

  • Vojtech Siuda, 2020. "A Top-down Stress-testing Framework for the Nonfinancial Corporate Sector," Working Papers 2020/12, Czech National Bank.
  • Handle: RePEc:cnb:wpaper:2020/12
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    File URL: https://www.cnb.cz/export/sites/cnb/en/economic-research/.galleries/research_publications/cnb_wp/cnbwp_2020_12.pdf
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    References listed on IDEAS

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    6. repec:zbw:bofrdp:2004_018 is not listed on IDEAS
    7. Kyu-Min Lee & Jae-Suk Yang & Gunn Kim & Jaesung Lee & Kwang-Il Goh & In-mook Kim, 2010. "Impact of the topology of global macroeconomic network on the spreading of economic crises," Papers 1011.4336, arXiv.org, revised Apr 2011.
    8. 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.
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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.
    2. Miroslav Plasil, 2021. "Designing Macro-Financial Scenarios: The New CNB Framework and Satellite Models for Property Prices and Credit," Research and Policy Notes 2021/01, Czech National Bank.

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    More about this item

    Keywords

    Credit default; default rate forecast; economic shock propagation; input-output tables;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • H63 - Public Economics - - National Budget, Deficit, and Debt - - - Debt; Debt Management; Sovereign Debt

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