We study an investor’s asset allocation problem with a recursive utility and with tradable volatility that follows a 2-factor stochastic volatility model. Consistent with previous findings under the additive utility, we show that the investor can benefit substantially from volatility trading due to hedging demand. Unlike existing studies, we find that the impact of elasticity of intertemporal substitution (EIS) on investment decisions is of 1st-order importance. Moreover, the investor can incur significant economic losses due to model and/or parameter misspecifications where the EIS better captures the investor’s attitude toward risk than the risk aversion parameter.

I evaluate whether the so-called long-run risk framework can jointly explain key features of both equity and bond markets as well as the interaction between asset prices and the macroeconomy. I find that shocks to expected consumption growth and time-varying macroeconomic volatility can account for the level of risk premia and its variation over time in both markets. The results suggest a common set of macroeconomic risk factors operating in equity and bond markets. I estimate the model using a simulation estimator that accounts for time aggregation of consumption growth and utilizes a rich set of moment conditions.

We study the relation between asset liquidity and stock liquidity. Our model shows that the relation may be either positive or negative depending on parameter values. Asset liquidity improves stock liquidity more for firms that are less likely to reinvest their liquid assets (i.e., firms with less growth opportunities and financially constrained firms). Empirically, we find a positive and economically large relation between asset liquidity and stock liquidity. Consistent with our model, the relation is more positive for firms that are less likely to reinvest their liquid assets. Our results also shed light on the value of holding liquid assets.

We track the dividend initiation (DI) decisions from a sample of 6,588 firms that went public during the period 1979–2005 and find that 873 of them initiated dividends. Our primary objective is to determine whether information signaling can explain the DI decision. We find that variables suggested by the dividend-signaling models of John and Williams (1985) and Allen, Bernardo, and Welch (2000) are significant determinants of the DI decision and the associated announcement-period stock price effect. We also find support for the residual, agency, tax, clientele, transaction costs, catering, and life-cycle explanations of dividend policy.

We use Tobin’s q models of investments to estimate the relationship between corporate governance and the level of innovative activity. Simple ordinary least squares (OLS) models suggest that poor governance reduces innovative activity. However, OLS results are sensitive to controlling for serial correlation, unobserved effects, or using instrumental variables to control simultaneity. Controlling for these effects substantially reduces or eliminates the relationship between governance and innovative activity.

An intermarket sweep order (ISO) is a limit order that automatically executes in a designated market center even if another market center is publishing a better quotation. An investor submitting an ISO must satisfy order protection rules by concurrently submitting orders to the markets with better prices. We find that ISOs represent 46% of trades and 41% of volume in our sample. ISO trades have a significantly larger information share despite their small trade size relative to non-ISO trades. Post trade return analysis suggests that informed institutions are the main users of ISO trades.

DeMiguel, Garlappi, and Uppal (2009) report that naïve diversification dominates mean-variance optimization in out-of-sample asset allocation tests. Our analysis suggests that this is largely due to their research design, which focuses on portfolios that are subject to high estimation risk and extreme turnover. We find that mean-variance optimization often outperforms naïve diversification, but turnover can erode its advantage in the presence of transaction costs. To address this issue, we develop 2 new methods of mean-variance portfolio selection (volatility timing and reward-to-risk timing) that deliver portfolios characterized by low turnover. These timing strategies outperform naïve diversification even in the presence of high transaction costs.

This paper examines whether a firm’s reputation is a determinant of repurchase completion rates (the ratio of actual to announced repurchases) and whether the stock market discounts announcements made by less reputable firms. Prior completion rates are positively correlated with current completion rates and announcement returns, suggesting consistency in repurchases and implying a reputational effect. Further, a nascent literature regarding accelerated share repurchases (ASRs) finds them to be more credible than open market repurchases. I show that the probability of announcing an ASR is greater for firms likely to be concerned about reputation because of low past completion rates.