This paper presents a continuous time model of a firm that can dynamically adjust both its capital structure and its investment choices. In the model we endogenize the investment choice as well as firm value, which are both determined by an exogenous price process that describes the firm's product market. Within the context of this model we explore cross-sectional as well as time-series variation in debt ratios. We pay particular attention to interactions between financial distress costs and debtholder/equityholder agency problems and examine how the ability to dynamically adjust the debt ratio affects the deviation of actual debt ratios from their targets. Regressions estimated on simulated data generated by our model are roughly consistent with actual regressions estimated in the empirical literature.

This paper examines how cash flows, investment expenditures, and stock price histories affect debt ratios. Consistent with earlier work, we find that these variables have a substantial influence on changes in capital structure. Specifically, stock price changes and financial deficits (i.e., the amount of external capital raised) have strong influences on capital structure changes, but in contrast to previous conclusions, we find that over long horizons their effects are partially reversed. These results indicate that although firms’ histories strongly influence their capital structures, over time their capital structures tend to move towards target debt ratios that are consistent with the tradeoff theories of capital structure.

This paper presents a theory of location choice that draws on insights from the incomplete contracts and investment flexibility (real option) literatures. Our analysis indicates that the choice of locating within rather than away from industry clusters is influenced by the extent to which training costs are borne by firms versus employees. In addition, the uncertainty about future productivity shocks and the ability of firms to modify the scale of their operations also influence location choice. In particular, we show that locating in clusters is preferred when training costs are borne by workers and when firm-specific productivity shocks can potentially be large. However, there is an incentive for firms to choose isolated locations when significant training costs are borne by firms.

We develop equilibrium models of exhaustible resource markets with endogenous extraction choices and prices. Our analysis demonstrates how adjustment costs can generate oil and gas forward price dynamics with two factors, consistent with the behavior these commodities exhibit in the Schwartz and Smith (2000) calibration. Our two‐factor model predicts that stochastic volatility will arise in these markets as a natural consequence of production adjustments, however, and we provide supporting empirical evidence. Differences between endogenous price processes from our general equilibrium model and exogenous processes in earlier papers can generate significant differences in both financial and real option values.

US corporations hold significant amounts of cash on their balance sheets. This paper develops and tests the hypothesis that the magnitude of US multinational cash holdings are, in part, a consequence of the tax costs associated with repatriating foreign income. Consistent with this hypothesis, firms facing higher repatriation taxes hold higher levels of cash, hold this cash abroad, and hold this cash in affiliates that trigger high tax costs when repatriating earnings. In addition, less financially constrained firms and those that are more technology intensive exhibit a higher sensitivity of affiliate cash holdings to repatriation tax burdens.

We analyze the hedging decisions of firms, within an equilibrium setting that allows us to examine how a firm's hedging choice depends on the hedging choices of its competitors. Within this equilibrium some firms hedge while others do not, even though all firms are ex ante identical. The fraction of firms that hedge depends on industry characteristics, such as the number of firms in the industry, the elasticity of demand, and the convexity of production costs. Consistent with prior empirical findings, the model predicts that there is more heterogeneity in the decision to hedge in the most competitive industries.