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Macroeconomic Impact on Expected Default Frequency

Author

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  • Åsberg Sommar, Per

    (Financial Stability Department, Central Bank of Sweden)

  • Shahnazarian, Hovick

    (Financial Stability Department, Central Bank of Sweden)

Abstract

We use a vector error correction model to study the long-term relationship between aggregate expected default frequency and the macroeconomic development, i.e. CPI, industry production and short-term interest rate. The model is used to forecast the median expected default frequency of the corporate sector by conditioning on external forecasts of macroeconomic developments. Evaluations of the model show that it yields low forecast errors in terms of RMSE. The estimation results indicate that the interest rate has the strongest impact on expected default frequency among the included macroeconomic variables. The forecasts indicate that EDF will rise gradually over the forecast period.

Suggested Citation

  • Åsberg Sommar, Per & Shahnazarian, Hovick, 2008. "Macroeconomic Impact on Expected Default Frequency," Working Paper Series 219, Sveriges Riksbank (Central Bank of Sweden).
    • Handle: RePEc:hhs:rbnkwp:0219
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    File URL: http://www.riksbank.se/upload/Dokument_riksbank/Kat_publicerat/WorkingPapers/2008/wp219_080201.pdf
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    References listed on IDEAS

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    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Tomas Konecny & Oxana Babecka-Kucharcukova, 2016. "Credit Spreads and the Links between the Financial and Real Sectors in a Small Open Economy: The Case of the Czech Republic," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(4), pages 302-321, August.
    2. Zedginidze Zviad, 2012. "Linking Macroeconomic Dynamics to Georgian Credit Portfolio Risk," EERC Working Paper Series 12/07e, EERC Research Network, Russia and CIS.
    3. Grigori Fainstein & Igor Novikov, 2011. "The Comparative Analysis of Credit Risk Determinants In the Banking Sector of the Baltic States," Review of Economics & Finance, Better Advances Press, Canada, vol. 1, pages 20-45, June.
    4. Grigoli, Francesco & Mansilla, Mario & Saldías, Martín, 2018. "Macro-financial linkages and heterogeneous non-performing loans projections: An application to Ecuador," Journal of Banking & Finance, Elsevier, vol. 97(C), pages 130-141.
    5. Sun, Tao, 2010. "Identifying Vulnerabilities in Systemically Important Financial Institutions in a Macro-Financial Linkages Framework," The Journal of Economic Asymmetries, Elsevier, vol. 7(2), pages 77-103.
    6. Andrene Senior & Sherene A. Bailey, 2017. "Estimación y pronóstico del riesgo de incumplimiento: evidencias para Jamaica," Monetaria, Centro de Estudios Monetarios Latinoamericanos, CEMLA, vol. 0(1), pages 141-174, enero-jun.
    7. Dua, Pami & Kapur, Hema, 2018. "Macro stress testing and resilience assessment of Indian banking," Journal of Policy Modeling, Elsevier, vol. 40(2), pages 452-475.
    8. Grigori Fainstein & Igor Novikov, 2011. "The role of macroeconomic determinants in credit risk measurement in transition country: Estonian example," International Journal of Transitions and Innovation Systems, Inderscience Enterprises Ltd, vol. 1(2), pages 117-137.
    9. Andrene Senior & Sherene A. Bailey, 2017. "Estimating and Forecasting Default Risk: Evidence from Jamaica," Monetaria, Centro de Estudios Monetarios Latinoamericanos, CEMLA, vol. 0(1), pages 133-162, January-J.

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    More about this item

    Keywords

    Expected Default Frequency; Macroeconomic Impact; Business cycle; vector error correction model; Financial stability; Financial and real economy interaction;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation

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