Accounting-Based versus Market-Based Cross-Sectional Models of CDS Spreads
by Sanjiv R. Das of Santa Clara University,
Abstract: Models of financial distress rely primarily on accounting-based information (e.g. [Altman, E., 1968. Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. Journal of Finance 23, 589-609; Ohlson, J., 1980. Financial ratios and the probabilistic prediction of bankruptcy. Journal of Accounting Research 19, 109-131]) or market-based information (e.g. [Merton, R.C., 1974. On the pricing of corporate debt: The risk structure of interest rates. Journal of Finance 29, 449-470]). In this paper, we provide evidence on the relative performance of these two classes of models. Using a sample of 2860 quarterly CDS spreads we find that a model of distress using accounting metrics performs comparably to market-based structural models of default. Moreover, a model using both sources of information performs better than either of the two models. Overall, our results suggest that both sources of information (accounting- and market-based) are complementary in pricing distress.
Keywords: Credit default swap, Credit risk, Bankruptcy prediction.
Published in: Journal of Banking & Finance, Vol. 33, No. 4, (April 2009), pp. 719-730.
Previously titled: Fundamentals-Based versus Market-Based Cross-Sectional Models of CDS Spreads