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The Company Fundamental Analysis and the Default Risk Ratio

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  • Pasquale De Luca

Abstract

The default risk ratio (DRR) proposed in this paper tries to define a novel alternative approach to analyze the company capability to face debt obligation by deriving it on the basis of fundamental analysis of the firm rather than the volatility of the asset’s value on the market.The DRR is defined on the basis of the relationship between debt level and the economic and financial dynamics with regard the Operating and Net Income, Capital Invested and Capital Structure and Free Cash-Flow from Operations and to Equity.The DRR does not define directly the default probability, but it is able to monitoring at a definite time the relevance of the debt level of the firm’s capability to face it, on the basis of its effects on the economic and financial dynamics of the firm. Since the DRR is based on the firm’s fundamental analysis, it can be used also in the structured-form models.

Suggested Citation

  • Pasquale De Luca, 2017. "The Company Fundamental Analysis and the Default Risk Ratio," International Journal of Business and Management, Canadian Center of Science and Education, vol. 12(10), pages 1-79, September.
    • Handle: RePEc:ibn:ijbmjn:v:12:y:2017:i:10:p:79
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    References listed on IDEAS

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    1. Lennox, Clive, 1999. "Identifying failing companies: a re-evaluation of the logit, probit and DA approaches," Journal of Economics and Business, Elsevier, vol. 51(4), pages 347-364, July.
    2. Dasgupta, Sudipto & Titman, Sheridan, 1998. "Pricing Strategy and Financial Policy," The Review of Financial Studies, Society for Financial Studies, vol. 11(4), pages 705-737.
    3. Duffie, Darrell & Singleton, Kenneth J, 1999. "Modeling Term Structures of Defaultable Bonds," The Review of Financial Studies, Society for Financial Studies, vol. 12(4), pages 687-720.
    4. Bala Rajaratnam & Kanshukan Rajaratnam & Myuran Rajaratnam, 2017. "A Theoretical Model for the Term Structure of Corporate Credit based on Competitive Advantage," European Financial Management, European Financial Management Association, vol. 23(2), pages 183-210, March.
    5. K.J. Martijn Cremers & Joost Driessen & Pascal Maenhout, 2008. "Explaining the Level of Credit Spreads: Option-Implied Jump Risk Premia in a Firm Value Model," The Review of Financial Studies, Society for Financial Studies, vol. 21(5), pages 2209-2242, September.
    6. 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..
    7. Schaefer, Stephen M. & Strebulaev, Ilya A., 2008. "Structural models of credit risk are useful: Evidence from hedge ratios on corporate bonds," Journal of Financial Economics, Elsevier, vol. 90(1), pages 1-19, October.
    8. 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.
    9. Jing-Zhi Huang & Ming Huang, 2012. "How Much of the Corporate-Treasury Yield Spread Is Due to Credit Risk?," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 2(2), pages 153-202.
    10. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    11. Young Ho Eom, 2004. "Structural Models of Corporate Bond Pricing: An Empirical Analysis," The Review of Financial Studies, Society for Financial Studies, vol. 17(2), pages 499-544.
    12. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure - Reply," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 123-127.
    13. Arindam Bandyopadhyay, 2007. "Mapping corporate drift towards default: Part 1: a market-based approach," Journal of Risk Finance, Emerald Group Publishing, vol. 8(1), pages 35-45, January.
    14. Vineet Agarwal & Richard Taffler, 2007. "Twenty‐five years of the Taffler z‐score model: Does it really have predictive ability?," Accounting and Business Research, Taylor & Francis Journals, vol. 37(4), pages 285-300.
    15. 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.
    16. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    17. Long Chen & David A. Lesmond & Jason Wei, 2007. "Corporate Yield Spreads and Bond Liquidity," Journal of Finance, American Finance Association, vol. 62(1), pages 119-149, February.
    18. 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.
    19. Arindam Bandyopadhyay, 2007. "Mapping corporate drift towards default: Part 2: a hybrid credit-scoring model," Journal of Risk Finance, Emerald Group Publishing, vol. 8(1), pages 46-55, January.
    20. Arindam Bandyopadhyay, 2006. "Predicting probability of default of Indian corporate bonds: logistic and Z-score model approaches," Journal of Risk Finance, Emerald Group Publishing, vol. 7(3), pages 255-272, May.
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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