Abstract Many of the events that trigger clawback provisions are associated with risky corporate policies and variable performance outcomes. We propose and test the hypothesis that clawback provisions motivate managers to reduce firm risk. Panel ordinary least squares, general method of moments with instrumental variables, and propensity square matching models all indicate that clawback provisions decrease the volatility of stock returns. The channels that connect clawback presence to firm risk include more conservative investment and financial policies. The clawback-induced reduction in risk-taking appears to benefit shareholders on average. The gains from reduced risk-taking are larger for firms with fewer growth options, lower R&D, and prior wrongdoing. (JEL G32, G34, J33, M41, M52, M55)

Abstract We study the effects of time-varying volatility and investment horizon on the economic significance of stock market return predictability from the perspective of Bayesian investors. Using a vector autoregression framework with stochastic volatility (SV) in market returns and predictor variables, we assess a broad set of twenty-six predictors with both in-sample and out-of-sample designs. Volatility and horizon are critically important for assessing return predictors, as these factors affect how an investor learns about predictability and how she chooses to invest based on return forecasts. We find that statistically strong predictors can be economically unimportant if they tend to take extreme values in high volatility periods, have low persistence, or follow distributions with fat tails. Several popular predictors exhibit these properties such that their impressive statistical results do not translate into large economic gains. We also demonstrate that incorporating SV leads to substantial utility gains in real-time forecasting.

We study the roles of the head office (HO) and the business units (BUs) of a multinational corporation (MNC) in reducing income tax and tariff payments through internal transfer prices in international trades. Using confidential transfer price data of a large MNC, we analyze how the different elements of internal transfer prices set by the HO and BUs vary differently from external prices with income tax rates, tariff rates, and the tradeoff between the two. Absent severe agency conflicts, we find that the BUs contribute more to tax planning than the HO, despite that explicit incentives to do so are not included in the compensation schemes. The roles of the HO and BUs vary with product market competition, the risk of conflicts with tax and customs authorities, and agency problems within the firm. Moreover, we provide evidence of strategic trade cost allocations among BUs to reduce income taxes.

We assess systemic risk in the U.S. banking system before and after the Panic of 1873, using a combination of linear programming and computational optimization to estimate the interbank network. We impose liquidity shocks resembling those of 1873, and find the network captures the distribution of interbank deposits a year later. The network predicts banks likely to panic in the crisis, and those banks see their balance sheets weaken in the year after the crisis more than others. The results shed light on the nature and regional pattern of withdrawals in a classic 19th-century U.S. financial crisis.

Abstract The vast majority of managers’ earnings forecasts are issued concurrently (i.e., bundled) with their firm’s current earnings announcement. We document a predictable bias in these forecasts—the forecasts fail to fully reflect the persistence of the current earnings surprise. Specifically, we find that managers issue (1) optimistically biased forecasts alongside negative earnings surprises and (2) pessimistically biased forecasts alongside large positive earnings surprises. Bayesian updating implies this bias could be unintentional, but we find that the bias is stronger when managers have greater incentives and fewer constraints to issue biased forecasts, suggesting that, to some extent, the bias might be intentional. Relatedly, although managers typically have better information about their firm’s earnings than analysts, we show that analyst reliance on these biased management forecasts represents a mechanism (and an alternative interpretation) for a similar analyst underreaction to current earnings attributed in the literature to analysts’ cognitive bias. We also find that, on average, investors do not appear to initially understand the bias in these forecasts but do unravel it over longer windows. However, investors more quickly unravel the bias when the manager has a history of issuing biased forecasts and when the firm has more sophisticated investors. Overall, we document that managers’ forecasts appear to repeatedly underweight the persistence of current earnings surprises, are biased in ways that improve investors’ perceptions of managers’ ability, and that this behavior concentrates in subsamples where outsiders have a harder time recognizing any bias.

Abstract We empirically evaluate 20 prominent contributions across a broad range of areas in the empirical corporate finance literature. We assemble the necessary data and apply a single, simple econometric method, the connected-groups approach of Abowd et al. to appraise the extent to which prevailing empirical specifications explain variation of the dependent variable, differ in composition of fit arising from various classes of independent variables, and exhibit resistance to omitted variable bias and other endogeneity problems. We assess empirical performance across a wide spectrum of areas in corporate finance and indicate varying research opportunities for empiricists and theorists.

We use slow and fast time-series momentum to characterize four stock market cycles—Bull, Correction, Bear, and Rebound. The steep market declines of Bears concentrate in high-risk states, yet predict negative expected returns, which is difficult to rationalize by most models of time-varying risk premia. Using a model to analyze slow and fast momentum strategies, we estimate both relatively high mean persistence and realization noise in U.S. stock market returns. Intermediate-speed momentum portfolios, formed by blending slow and fast momentum strategies, translate predictive information in market cycles into positive unconditional alpha, for which we propose a novel decomposition.

ABSTRACT We explore whether municipalities with public sector unions exploit aspects of governmental (or “fund”) accounting to obscure the availability of discretionary resources in fund balance accounts, relative to municipalities without public sector unions. We first investigate whether governments with unions report higher proportions of discretionary resources outside of the general fund, a primary measure of financial health, and instead within less prominent fund types. Second, we explore whether governments with unions report lower ratios within accessible general fund balance account categories – that is, report lower proportions of unreserved fund balance. Primary findings are consistent with both hypotheses. Although somewhat mixed, cross‐sectional analyses reveal that effects are magnified when unions have more bargaining power, as proxied by the ability to strike or the absence of state right‐to‐work laws. Further analysis corroborates cross‐sectional findings by examining difference‐in‐differences specifications surrounding the quasi‐exogenous shock of Wisconsin's 2011 weakening of state public sector union laws and Ohio's time‐varying union contract negotiations. Overall, the evidence suggests that governments with unions shelter resources to avoid the appearance of large discretionary amounts available.

Abstract We present a dynamic, continuous-time model in which risk averse inside equityholders set a bank’s lending, payout, and financing policies, and the exposure of bank assets to crashes. We examine whether bailouts encourage excessive lending and risk taking compared to liquidation or bail-ins with debt-to-equity conversion or debt write-downs. The effects of the prevailing insolvency resolution mechanism (IRM) on the probability of insolvency, loss in default, and the bank’s value suggest no single IRM is a panacea. We show how a bailout fund financed through a tax on bank dividends resolves bailouts without public money and without distorting insiders’ incentives.