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Distance to default and probability of default: an experimental study

Author

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  • Amir Ahmad Dar

    (B S Abdur Rahman Crescent Institute of Science and Technology)

  • Shahid Qadir

    (Desh Bhagat University)

Abstract

.... The distance to default (DD) and the probability of default (PD) are the essential credit risks in the finance world. It provides an estimate of the likelihood that a borrower will be unable to meet its debt obligations. It is crucial to know which parameter effects more on DD and PD so that investor will prevent future risks. Purpose The purpose of this study is to investigate the effects of four parameters (asset value of firm V, value of debt X, interest rate r and the volatility of asset σ at one period) on DD and PD. Design/methodology/approach The Black Scholes model is used to estimate the DD and PD. To explore the effects of parameters, the author used Taguchi’s L27 orthogonal array, analysis of variance (ANOVA) and analysis of mean (ANOM), and the analysis will carry out using MINITAB software. The effect of parameters will be discussed with the main effect plot and the average response on a response plot showing the best outcomes. Findings ANOM identified the optimal combination where the DD is a maximum, and the PD is a minimum. The percentage contribution of each input factor on DD and PD was estimated by conducting ANOVA. The above two (DD and PD) exists an inverse relationship. Research limitations/implications The rank or percentage contribution will vary with change in the data set.

Suggested Citation

  • Amir Ahmad Dar & Shahid Qadir, 2019. "Distance to default and probability of default: an experimental study," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 9(1), pages 1-12, December.
    • Handle: RePEc:spr:jglont:v:9:y:2019:i:1:d:10.1186_s40497-019-0154-6
    DOI: 10.1186/s40497-019-0154-6
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    References listed on IDEAS

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    1. 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.
    2. Amir Ahmad Dar & N. Anuradha & Shahid Qadir, 2019. "Estimating probabilities of default of different firms and the statistical tests," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 9(1), pages 1-15, December.
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