Extremely long odds accompany the chance that spurious-regression bias accounts for investor sentiment׳s observed role in stock-return anomalies. We replace investor sentiment with a simulated persistent series in regressions reported by Stambaugh, Yu, and Yuan (2012), who find higher long-short anomaly profits following high sentiment, due entirely to the short leg. Among 200 million simulated regressors, we find none that support those conclusions as strongly as investor sentiment. The key is consistency across anomalies. Obtaining just the predicted signs for the regression coefficients across the 11 anomalies examined in the above study occurs only once for every 43 simulated regressors.

While recent literature documents that U.S. family firms differ markedly from their nonfamily counterparts, there is a paucity of evidence on how these firms differ in terms of their cost of capital or financial structure. In this paper, we show that family and nonfamily firms differ in their debt maturity and leverage ratios in a manner consistent with the higher expropriation potential of family firms. Moreover, while more transparency causes both family and nonfamily firms to increase the maturity structure of their debt and reduce leverage ratios, the effects are stronger for family firms.

Sousa (2010a) shows that the residuals from the common trend among consumption, financial wealth, housing wealth and human capital, cday, can predict quarterly stock market returns better than cay from Lettau and Ludvigson (2001), which considers aggregate wealth instead. In this paper, we use a more appropriate proxy of human capital, which alleviates the potential correlation between the residuals and the regressors and makes the estimation more precise. In addition, we extend housing wealth to household capital by taking durable goods into consideration. The new predictor is proposed accordingly. Empirically, we find that our predictor is superior to the other alternatives.

Corporate bond spreads are affected by both credit risk and liquidity and it is difficult to disentangle the two factors empirically. In this paper we separate out the credit risk component by examining bonds that are issued by the same firm and that trade on the same day, allowing us to examine the effects of liquidity in a sample of bond pairs. We examine standard liquidity measures to determine how well they explain the differences in the two bonds’ yield spreads and find that the proxies do a poor job of measuring liquidity effects. Incorporating liquidity proxies related to other bonds issued by the firm and those for bonds of other firms can significantly improve the explanatory power. Still, a significant portion of the spread is left unexplained and it is largely driven by a common unknown factor. We conclude that good proxies for the liquidity component of corporate bond spreads remain elusive.

We investigate the impact of excess perk consumption on crash risk in state-owned enterprises in China. To enjoy excess perks, executives in state-owned enterprises have an incentive to withhold bad news for extended periods, leading to higher future stock price crash risk. Consistent with this assertion, we find a positive correlation between excess perks and crash risk. The findings are robust to the inclusion of other determinants of crash risk identified in the literature, such as earnings management, conditional conservatism, and firm-level corporate governance mechanisms. The results still hold after accounting for possible endogeneity issues using a two-stage least squares estimation. Earnings management (conditional conservatism) helps amplify (lessen) this impact. Moreover, better external monitoring mitigates the impact of excess perks on firm crash risk. We further find that the impact of excess perks on crash risk is more pronounced in firms whose executives are approaching retirement and persists for at least two years.

Several studies document a robust negative association between net external financing and average stock returns, which is referred to as the external financing effect. Using total asset growth as a comprehensive measure of overall corporate investment and total profitability gross of R&D expenditures as a measure of true economic profitability, we provide new evidence in support of the q-theory explanation for the external financing effect. We also test the market timing explanation for the external financing effect but fail to document supportive evidence.