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Examining what best explains corporate credit risk: accounting-based versus market-based models

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  • Antonio Trujillo-Ponce

    (Department of Financial Economics and Accounting, Pablo de Olavide University, Seville, Spain)

  • Reyes Samaniego-Medina

    (Department of Financial Economics and Accounting, Pablo de Olavide University, Seville, Spain)

  • Clara Cardone-Riportella

    (Department of Business Administration, Universidad Carlos III de Madrid)

Abstract

Using a sample of 2,186 credit default swap (CDS) spreads quoted in the European market during the period 2002-2009, this paper empirically analyzes which model – accounting- or market-based – better explains corporate credit risk. We find that there is little difference in the explanatory power of the two approaches. Our results suggest that both accounting and market data complement one other and thus that a comprehensive model that includes both types of variables appears to be the best option for explaining credit risk. We also show that the explanatory power of accounting- and market-based variables for measuring credit risk is particularly strong during periods of high uncertainty, as experienced in the recent financial crisis, and that it decreases as the CDS contract matures. Finally, the comprehensive model continues to show the best results when using the credit rating as the proxy for credit risk, but accounting variables currently appear to have a more important role than the market variables

Suggested Citation

  • Antonio Trujillo-Ponce & Reyes Samaniego-Medina & Clara Cardone-Riportella, 2012. "Examining what best explains corporate credit risk: accounting-based versus market-based models," Working Papers 12.03, Universidad Pablo de Olavide, Department of Financial Economics and Accounting (former Department of Business Administration).
    • Handle: RePEc:pab:fiecac:12.03
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    8. Syed Jawad Hussain Shahzad & Elie Bouri & Jose Arreola-Hernandez & David Roubaud & Stelios Bekiros, 2019. "Spillover across Eurozone credit market sectors and determinants," Applied Economics, Taylor & Francis Journals, vol. 51(59), pages 6333-6349, December.
    9. Purificación Parrado-Martínez & Antonio Partal-Ureña & Pilar Gómez Fernández-Aguado, 2016. "Banking Soundness Indicators and Sovereign Risk in Time of Crisis: The Case of the European Union," The World Economy, Wiley Blackwell, vol. 39(8), pages 1172-1193, August.
    10. Mohammad Mahdi Mousavi & Jamal Ouenniche, 2018. "Multi-criteria ranking of corporate distress prediction models: empirical evaluation and methodological contributions," Annals of Operations Research, Springer, vol. 271(2), pages 853-886, December.
    11. Michal Karas & Mária Režòáková, 2021. "The role of financial constraint factors in predicting SME default," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 16(4), pages 859-883, December.
    12. Vo, D.H. & Pham, B.V.-N. & Pham, T.V.-T. & McAleer, M.J., 2019. "Corporate Financial Distress of Industry Level Listings in an Emerging Market," Econometric Institute Research Papers EI2019-15, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    13. Purificacion Parrado-Martinez & Antonio Parta Ureña & Pilar Gomez Fernandez-Aguado, 2014. "Usefulness of Financial Soundness Indicators for risk assessment: The case of EU member countries," Working Papers 14.01, Universidad Pablo de Olavide, Department of Financial Economics and Accounting (former Department of Business Administration).
    14. Samaniego-Medina, Reyes & Trujillo-Ponce, Antonio & Parrado-Martínez, Purificación & di Pietro, Filippo, 2016. "Determinants of bank CDS spreads in Europe," Journal of Economics and Business, Elsevier, vol. 86(C), pages 1-15.
    15. Sumaira Ashraf & Elisabete G. S. Félix & Zélia Serrasqueiro, 2019. "Do Traditional Financial Distress Prediction Models Predict the Early Warning Signs of Financial Distress?," JRFM, MDPI, vol. 12(2), pages 1-17, April.
    16. Njeru, Andrew Kioi, 2022. "Asset quality assessment in the absence of quality data towards optimal credit intermediation," KBA Centre for Research on Financial Markets and Policy Working Paper Series 63, Kenya Bankers Association (KBA).
    17. Fernández-Gámez, Manuel Ángel & Soria, Juan Antonio Campos & Santos, José António C. & Alaminos, David, 2020. "European country heterogeneity in financial distress prediction: An empirical analysis with macroeconomic and regulatory factors," Economic Modelling, Elsevier, vol. 88(C), pages 398-407.
    18. Pereira, John & Sorwar, Ghulam & Nurullah, Mohamed, 2018. "What drives corporate CDS spreads? A comparison across US, UK and EU firms," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 56(C), pages 188-200.

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    Keywords

    Bankruptcy; credit default swaps; credit risk; distance-to-default;
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