Extending the Merton Model: A Hybrid Approach to Assessing Credit Quality

by Alexandros Benos of the University of Piraeus, and
George Papanastasopoulos University of Peloponnese

June 2005

Abstract: In this paper we have combined fundamental analysis and contingent claim analysis into a hybrid model of credit risk measurement. We have extended the standard Merton approach to estimate a new risk neutral distance to default metric, assuming a more complex capital structure, adjusting for dividend payments, introducing randomness to the default point and allowing a fractional recovery when default occurs. Then, using financial ratios, other accounting based measures and the risk neutral distance to default metric from our structural model as explanatory variables we estimate the hybrid model with an ordered probit regression method. Using the same econometric method, we estimate a model using financial ratios and accounting variables as explanatory variables and a model using our risk neutral distance to default metric as unique explanatory variable. We have found that by enriching the risk neutral distance to default metric with financial ratios and accounting variables into the hybrid model, we can improve both in sample fit of credit ratings and out of sample predictability of defaults. Our main conclusion is that financial ratios and accounting variables contain significant and incremental information, thus the risk neutral distance to default metric does not reflect all available information regarding the credit quality of a firm.

JEL Classification: G11, G12, G13.

Keywords: credit quality, distance to default, financial ratios, accounting variables.

Published in: Mathematical and Computer Modelling, Vol. 46, No. 1-2, (July 2007), pp. 47-68.

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