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Do Shareholder Rights Affect the Cost of Bank Loans?

Review of Financial Studies 2009 22(8), 2973-3004
[Using a large sample of bank loans issued to U. S. firms between 1990 and 2004, we find that lower takeover defenses (as proxied by the lower G-index of Gompers, Ishii, and Metrick 2003) significantly increase the cost of loans for a firm. Firms with lowest takeover defense (democracy) pay a 25% higher spread on their bank loans as compared with firms with the highest takeover defense (dictatorship), after controlling for various firm and loan characteristics. Further investigations indicate that banks charge a higher loan spread to firms with higher takeover vulnerability mainly because of their concern about a substantial increase in financial risk after the takeover. Our results have important implications for understanding the link between a firm's governance structure and its cost of capital. Our study suggests that firms that rely too much on corporate control market as a governance device are punished by costlier bank loans.]

Repeated Signaling and Firm Dynamics

Review of Financial Studies 2010 23(5), 1981-2023
[As an alternative to the pecking order, we develop a dynamic calibratable model where the firm avoids mispricing via signaling. The model is rich, featuring endogenous investment, debt, default, dividends, equity flotations, and share repurchases. In equilibrium, firms with negative private information have negative leverage, issue equity, and overinvest. Firms signal positive information by substituting debt for equity. Default costs induce such firms to underinvest. Model simulations reveal that repeated signaling can account for countercyclical leverage, leverage persistence, volatile procylical investment, and correlation between size and leverage. The model generates other novel predictions. Investment rates are the key predictor of abnormal announcement returns in simulated data, with leverage only predicting returns unconditionally. Firms facing asymmetric information actually exhibit higher mean Q ratios and investment rates.]

Anomalies

Review of Financial Studies 2009 22(11), 4301-4334
[We take a simple q-theory model and ask how well it can explain external financing anomalies, both qualitatively and quantitatively. Our central insight is that optimal investment is an important driving force of these anomalies. The model simultaneously reproduces procyclical equity issuance waves, the negative relation between investment and average returns, long-term underperformance following equity issues, positive long-term drift following cash distributions, the mean-reverting operating performance of issuing and cashdistributing firms, and the failure of the in explaining the long-term stock-price drifts. However, the model cannot fully capture the magnitude of the positive drift following cash distributions observed in the data.]

Do Shareholder Rights Affect the Cost of Bank Loans?

Review of Financial Studies 2009 22(8), 2973-3004
Using a large sample of bank loans issued to U.S. firms between 1990 and 2004, we find that lower takeover defenses (as proxied by the lower G-index of Gompers, Ishii, and Metrick 2003) significantly increase the cost of loans for a firm. Firms with lowest takeover defense (democracy) pay a 25% higher spread on their bank loans as compared with firms with the highest takeover defense (dictatorship), after controlling for various firm and loan characteristics. Further investigations indicate that banks charge a higher loan spread to firms with higher takeover vulnerability mainly because of their concern about a substantial increase in financial risk after the takeover. Our results have important implications for understanding the link between a firm's governance structure and its cost of capital. Our study suggests that firms that rely too much on corporate control market as a governance device are punished by costlier bank loans. The Author 2008. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please email: [email protected], Oxford University Press.

Repeated Signaling and Firm Dynamics

Review of Financial Studies 2010 23(5), 1981-2023
As an alternative to the pecking order, we develop a dynamic calibratable model where the firm avoids mispricing via signaling. The model is rich, featuring endogenous invest-ment, debt, default, dividends, equity flotations, and share repurchases. In equilibrium, firms with negative private information have negative leverage, issue equity, and overin-vest. Firms signal positive information by substituting debt for equity. Default costs induce such firms to underinvest. Model simulations reveal that repeated signaling can account for countercyclical leverage, leverage persistence, volatile procylical investment, and correla-tion between size and leverage. The model generates other novel predictions. Investment rates are the key predictor of abnormal announcement returns in simulated data, with lever-age only predicting returns unconditionally. Firms facing asymmetric information actually exhibit higher mean Q ratios and investment rates. (JEL G32) Three decades have passed since Leland and Pyle (1977) and Ross (1977) de-veloped the signaling theory of corporate finance. Although their work has been extended, signaling models remain static and qualitative, making it im-possible for empiricists to assess the theory’s ability to match observed time-

Anomalies

Review of Financial Studies 2009 22(11), 4301-4334
We take a simple q-theory model and ask how well it can explain external financing anomalies, both qualitatively and quantitatively. Our central insight is that optimal investment is an important driving force of these anomalies. The model simultaneously reproduces procyclical equity issuance waves, the negative relation between investment and average returns, long-term underperformance following equity issues, positive long-term drift following cash distributions, the mean-reverting operating performance of issuing and cash-distributing firms, and the failure of the CAPM in explaining the long-term stock-price drifts. However, the model cannot fully capture the magnitude of the positive drift following cash distributions observed in the data. The Author 2009. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please e-mail: [email protected]., Oxford University Press.