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Paris-Princeton Lectures on Mathematical Finance 2004
Paris-Princeton Lectures on Mathematical Finance 2004 Finance 2004

by Rene A. Carmona, Ivar Ekeland, Arturo Kohatsu-Higa, Jean-Michel Lasry, Pierre-Louis Lions, Huyen Pham, Erik Taflin, Springer, (
October 1, 2007), Paperback, 248 pages

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The Mathematics of Credit Derivatives: The Essential Credit Modelling and Pricing Companion
by Philipp J. Schönbucher,
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In Rememberance: World Trade Center (WTC)

Credit Risk Drivers: Evaluating the contribution of firm level information and of macroeconomic dynamics

by Diana Bonfim of Banco de Portugal

March 2007

Abstract: Understanding why some firms default, while others do not, is an important issue for the assessment of financial stability. In this domain, it may be interesting to understand if credit risk is driven mostly by idiosyncratic firm characteristics or by systematic factors, which simultaneously affect all firms. In order to empirically examine the determinants of loan default, we begin by exploring the links between credit risk and macroeconomic developments at an aggregate level. The results obtained seem to confirm the hypothesis that in periods of economic growth, which are sometimes accompanied by strong credit growth, there may be some tendency towards excessive risk-taking, even though the imbalances created in such periods only become apparent when economic growth slows down. After examining the determinants of credit risk at an aggregate level, we focus our attention on an extensive dataset with detailed financial information for more than 30.000 firms. The results obtained suggest that default probabilities are influenced by several firm-specific characteristics, such as their financial structure, profitability and liquidity, as well as by their recent sales performance or their investment policy. When time-effect controls or macroeconomic variables are taken into account together with the firms' characteristics, the results seem to improve substantially. Hence, though the firms' financial and operational situation has a central role in explaining default probabilities at the micro level, overall macroeconomic conditions are also very important when assessing default probabilities over time.

JEL Classification: G21, G33, E32, C25, C41.

Keywords: credit risk, default probability, corporate loans, probit models, duration analysis.

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