Controlling for unobserved heterogeneity (or "common errors"), such as industry-specific shocks, is a fundamental challenge in empirical research. This paper discusses the limitations of two approaches widely used in corporate finance and asset pricing research: demeaning the dependent variable with respect to the group (e.g., "industry-adjusting") and adding the mean of the group's dependent variable as a control. We show that these methods produce inconsistent estimates and can distort inference. In contrast, the fixed effects estimator is consistent and should be used instead. We also explain how to estimate the fixed effects model when traditional methods are computationally infeasible.

In a sample of 2,794 initial public offerings (IPOs), we test three potential explanations for the existence of IPO lockups: lockups serve as (i) a signal of firm quality, (ii) a commitment device to alleviate moral hazard problems, or (iii) a mechanism for underwriters to extract additional compensation from the issuing firm. Our results support the commitment hypothesis. Insiders of firms that are associated with greater potential for moral hazard lockup their shares for a longer period of time. Insiders of firms that have experienced larger excess returns, are backed by venture capitalists, or go public with high-quality underwriters are more likely to be released from the lockup restrictions.

Journal Article Managerial Compensation and the Market Reaction to Bank Loans Get access Andres Almazan, Andres Almazan University of Texas Address correspondence to Andres Almazan, Department of Finance, McCombs School of Business, University of Texas at Austin, TX 78712-1179, or e-mail: [email protected]. Search for other works by this author on: Oxford Academic Google Scholar Javier Suarez Javier Suarez CEMFI Search for other works by this author on: Oxford Academic Google Scholar The Review of Financial Studies, Volume 16, Issue 1, January 2003, Pages 237–261, https://doi.org/10.1093/rfs/16.1.0237 Published: 16 June 2015

[Intuition suggests that firms with higher cash holdings should be "safer" and have lower credit spreads. Yet empirically, the correlation between cash and spreads is robustly positive. This puzzling finding can be explained by the precautionary motive for saving cash, which in our model causes riskier firms to accumulate higher cash reserves. In contrast, spreads are negatively related to the part of cash holdings that is not determined by credit risk factors. Similarly, although firms with higher cash reserves are less likely to default in the short term, endogenously determined liquidity may be related positively to the longerterm probability of default. Our empirical analysis confirms these predictions, suggesting that precautionary savings are central to understanding the effects of cash on credit risk.]

[This article proposes a novel method of extracting the cost of default from the change in the market value of a firm's assets upon default. Using a large sample of firms with observed prices of debt and equity that defaulted over fourteen years, we estimate the cost of default for an average defaulting firm to be 21.7% of the market value of assets. The costs vary from 14.7% for bond renegotiations to 30.5% for bankruptcies, and are substantially higher for investment-grade firms (28.8%) than for highly levered bond issuers (20.2%), which extant estimates are based on exclusively.]

[Using a large sample of cross-border mergers, we measure the effect of a change in location on systematic risk. When a target firm's location moves, a large part of its systematic risk switches from being related to its home equity market to that of the acquirer. On average, the change in betas is equivalent to an excess shift of about 0.5 in the target's beta from its home market to that of the acquirer. We test whether the change in systematic risk can be explained by fundamental factors related to changes in the operations of the firm or merger synergy and find that it cannot.]

This paper investigates the impact of demographic shocks on optimal decisions about saving, life insurance, and, most centrally, asset allocation. The analysis indicates that marital-status transitions can have important effects on optimal household decisions, particularly in the cases of widowhood and divorce. Children also play a fundamental role in portfolio choice; in addition to leading to substantially different average allocations, they also have strong interaction effects with changes in marital status. Panel data evidence on stockholding suggests that changes in marital status and children matter empirically as well, but not always in the manner that the model predicts. 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.

[This paper investigates the impact of demographic shocks on optimal decisions about saving, life insurance, and, most centrally, asset allocation. The analysis indicates that marital-status transitions can have important effects on optimal household decisions, particularly in the cases of widowhood and divorce. Children also play a fundamental role in portfolio choice; in addition to leading to substantially different average allocations, they also have strong interaction effects with changes in marital status. Panel data evidence on stockholding suggests that changes in marital status and children matter empirically as well, but not always in the manner that the model predicts.]

This paper proposes a representative agent habit-formation model where preferences are defined for both luxury goods and basic goods. The model matches the equity risk premium, risk-free rate, and volatilities. From the intratemporal first-order condition, one can substitute out basic good consumption and the habit level, yielding a stochastic discount factor driven by two observable risk factors: luxury good consumption and the relative price of the two goods. I estimate these processes and find them to be heteroskedastic, implying time variation in the conditional volatility of the stochastic discount factor. These dynamics occur both at the business cycle frequency and at a lower, "generational" frequency. The findings reveal that the time variation in aggregate stock market and Treasury bond risk premiums are consistent with the predictions of the model. The Author 2009. 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.

[This paper proposes a representative agent habit-formation model where preferences are defined for both luxury goods and basic goods. The model matches the equity risk premium, risk-free rate, and volatilities. From the intratemporal first-order condition, one can substitute out basic good consumption and the habit level, yielding a stochastic discount factor driven by two observable risk factors: luxury good consumption and the relative price of the two goods. I estimate these processes and find them to be heteroskedastic, implying time variation in the conditional volatility of the stochastic discount factor. These dynamics occur both at the business cycle frequency and at a lower, "generational" frequency. The findings reveal that the time variation in aggregate stock market and Treasury bond risk premiums are consistent with the predictions of the model.]