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Using Option Theory and Fundamentals to Assessing Default Risk of Listed Firms

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  • Papanastasopoulos, George

Abstract

In this paper, we use option based measures of financial performance that utilize market information in a binary probit regression to examine their informational context and properties as distress indicators and to estimate default probabilities for listed firms. Then, we enrich them with fundamentals that utilize accounting information. The results suggest that by adding accounting information from financial statements to market information from equity prices we can improve both in sample fitting and out of sample predictability of defaults. Therefore, option theory does not generate sufficient statistics of the actual default frequency. Our main conclusion is that while market information can be extremely valuable, it is most useful when coupled with accounting information in assessing default risk of listed firms.

Suggested Citation

  • Papanastasopoulos, George, 2005. "Using Option Theory and Fundamentals to Assessing Default Risk of Listed Firms," MPRA Paper 453, University Library of Munich, Germany, revised Jun 2006.
  • Handle: RePEc:pra:mprapa:453
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    References listed on IDEAS

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    1. Robert C. Merton, 2005. "Theory of rational option pricing," World Scientific Book Chapters, in: Sudipto Bhattacharya & George M Constantinides (ed.), Theory Of Valuation, chapter 8, pages 229-288, World Scientific Publishing Co. Pte. Ltd..
    2. Robert A. Jarrow & Stuart M. Turnbull, 2008. "Pricing Derivatives on Financial Securities Subject to Credit Risk," World Scientific Book Chapters, in: Financial Derivatives Pricing Selected Works of Robert Jarrow, chapter 17, pages 377-409, World Scientific Publishing Co. Pte. Ltd..
    3. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    4. Ronan G. Powell, 2004. "Takeover Prediction Models and Portfolio Strategies: A Multinomial Approach," Multinational Finance Journal, Multinational Finance Journal, vol. 8(1-2), pages 35-72, March-Jun.
    5. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    6. Edwin J. Elton & Martin J. Gruber & Deepak Agrawal & Christopher Mann, 2001. "Explaining the Rate Spread on Corporate Bonds," Journal of Finance, American Finance Association, vol. 56(1), pages 247-277, February.
    7. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    8. Franks, Julian R. & Torous, Walter N., 1994. "A comparison of financial recontracting in distressed exchanges and chapter 11 reorganizations," Journal of Financial Economics, Elsevier, vol. 35(3), pages 349-370, June.
    9. Altman, Edward I. & Haldeman, Robert G. & Narayanan, P., 1977. "ZETATM analysis A new model to identify bankruptcy risk of corporations," Journal of Banking & Finance, Elsevier, vol. 1(1), pages 29-54, June.
    10. Alexandros Benos & George Papanastasopoulos, 2005. "Extending the Merton Model: A Hybrid Approach to Assessing Credit Quality," Finance 0505020, University Library of Munich, Germany, revised 18 Nov 2005.
    11. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    12. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    13. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    14. repec:bla:jfinan:v:59:y:2004:i:2:p:831-868 is not listed on IDEAS
    15. Beaver, Wh, 1968. "Market Prices, Financial Ratios, And Prediction Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 6(2), pages 179-192.
    16. Saikat Nandi, 1998. "Valuation models for default-risky securities: An overview," Economic Review, Federal Reserve Bank of Atlanta, vol. 83(Q 4), pages 22-35.
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    More about this item

    Keywords

    option theory; fundamentals; default risk;
    All these keywords.

    JEL classification:

    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

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