In Search of Distress Risk

In Search of Distress Risk

2008 | John Y. Campbell, Jens Hilscher, and Jan Szilagyi
Campbell, John Y., Jens Hilscher, and Jan Szilagyi (2008) examine the determinants of corporate failure and the pricing of financially distressed stocks using U.S. data from 1963 to 2003. They find that firms with higher leverage, lower profitability, lower market capitalization, lower past stock returns, more volatile past stock returns, lower cash holdings, higher market-book ratios, and lower prices per share are more likely to file for bankruptcy, be delisted, or receive a D rating. At longer horizons, market capitalization, the market-book ratio, and equity volatility become more significant predictors of failure. Financially distressed stocks have lower returns but higher standard deviations, market betas, and loadings on value and small-cap risk factors than stocks with low failure risk. These patterns hold across all size quintiles, with stronger effects in smaller stocks. The results suggest that the value and size effects are not compensation for financial distress risk. The paper explores two ways firms may fail to meet financial obligations: bankruptcy filings under Chapter 7 or 11, and broader failures including bankruptcies, delistings, or D ratings. They use a dynamic panel model with logit specification to estimate the probability of failure, incorporating both accounting and equity market variables. They find that market capitalization, market-book ratio, and equity volatility are more significant predictors at longer horizons. They also find that the model captures much of the time variation in the aggregate failure rate. Financially distressed stocks have high market betas and loadings on the HML and SMB factors but do not have high average returns, suggesting that the equity market has not properly priced distress risk. The paper compares their results with other studies on corporate bankruptcy, noting that the probability of bankruptcy depends on the horizon considered. They find that their model performs well in predicting failure frequency over time, though it underpredicts in the 1980s and overpredicts in the 1990s. They also find that the model's predictive power is strong for long horizons, with market capitalization, market-book ratio, and volatility becoming more significant. They conclude that the structural approach to modeling default, based on the Merton model, has limited predictive power compared to their reduced-form econometric model. They find that the reduced-form model captures important aspects of the process determining corporate failure and that the predictive power of distress risk is impressive given the restrictions of the Merton model. However, they argue that a reduced-form econometric approach is better for predicting failures as it allows volatility and leverage to enter with free coefficients and includes other relevant variables.Campbell, John Y., Jens Hilscher, and Jan Szilagyi (2008) examine the determinants of corporate failure and the pricing of financially distressed stocks using U.S. data from 1963 to 2003. They find that firms with higher leverage, lower profitability, lower market capitalization, lower past stock returns, more volatile past stock returns, lower cash holdings, higher market-book ratios, and lower prices per share are more likely to file for bankruptcy, be delisted, or receive a D rating. At longer horizons, market capitalization, the market-book ratio, and equity volatility become more significant predictors of failure. Financially distressed stocks have lower returns but higher standard deviations, market betas, and loadings on value and small-cap risk factors than stocks with low failure risk. These patterns hold across all size quintiles, with stronger effects in smaller stocks. The results suggest that the value and size effects are not compensation for financial distress risk. The paper explores two ways firms may fail to meet financial obligations: bankruptcy filings under Chapter 7 or 11, and broader failures including bankruptcies, delistings, or D ratings. They use a dynamic panel model with logit specification to estimate the probability of failure, incorporating both accounting and equity market variables. They find that market capitalization, market-book ratio, and equity volatility are more significant predictors at longer horizons. They also find that the model captures much of the time variation in the aggregate failure rate. Financially distressed stocks have high market betas and loadings on the HML and SMB factors but do not have high average returns, suggesting that the equity market has not properly priced distress risk. The paper compares their results with other studies on corporate bankruptcy, noting that the probability of bankruptcy depends on the horizon considered. They find that their model performs well in predicting failure frequency over time, though it underpredicts in the 1980s and overpredicts in the 1990s. They also find that the model's predictive power is strong for long horizons, with market capitalization, market-book ratio, and volatility becoming more significant. They conclude that the structural approach to modeling default, based on the Merton model, has limited predictive power compared to their reduced-form econometric model. They find that the reduced-form model captures important aspects of the process determining corporate failure and that the predictive power of distress risk is impressive given the restrictions of the Merton model. However, they argue that a reduced-form econometric approach is better for predicting failures as it allows volatility and leverage to enter with free coefficients and includes other relevant variables.
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[slides and audio] In Search of Distress Risk