This paper studies the impact of both liquidity and solvency concerns on corporate finance. I present a tractable model of a firm that optimally chooses capital structure, cash holdings, dividends, and default while facing cash flows with long-term uncertainty and short-term liquidity shocks. The model explains how changes in solvency affect liquidity and also how liquidity concerns affect solvency via capital structure choice. These interactions result in a dynamic cash policy in which cash reserves increase in profitability and are positively correlated with cash flows. The optimal dividend distributions implied by the model are smoothed relative to cash flows. I also find that liquidity concerns lead to a decrease of dispersion of credit spreads.

We analyze how the costs of smoothly adjusting capital, such as incentive costs, affect investment timing. In our model, the owner of a firm holds a real option to increase a lumpy form of capital and can also smoothly adjust an incremental form of capital. Increasing the cost of incremental capital can delay or accelerate investment in lumpy capital. Incentive costs due to moral hazard are a natural source of costs for the accumulation of incremental capital. When moral hazard is severe, delaying investment in lumpy capital is costly, and overinvesting relative to the first-best case is optimal. Received January 24, 2017; editorial decision March 15, 2019 by Editor Itay Goldstein.

Private equity funds intermediate investment and affect portfolio firm performance by actively engaging in operational, governance, and financial engineering. We study this type of intermediation in a dynamic agency model in which an active intermediary raises funds from outside investors and invests in a firm run by an agent. Optimal contracting addresses moral hazard at the intermediary and firm levels. The intermediary's incentives to affect firm performance are strongest after poor performance, while the agent's incentives are strongest after good performance. We also show how financial engineering, that is, financial contracting with outside investors, interacts with operational and governance engineering.

We develop a model in which a start-up firm issues tokens to finance a digital platform, which creates agency conflicts between platform developers and outsiders. We show that token financing is preferred to equity financing unless the platform expects strong cash flows, has large financing needs, or faces severe agency conflicts. Tokens are characterized by their utility features, facilitating transactions, and security features, granting cash flow rights. While security features trigger endogenous network effects and spur platform adoption, they also dilute developers’ equity stake and incentives so that the optimal level of security features decreases with agency conflicts and financing needs.

We build a dynamic agency model in which the agent controls both current earnings via short-term investment and firm growth via long-term investment. Under the optimal contract, agency conflicts can induce short- and long-term investment levels beyond first best, leading to short- or long-termism in corporate policies. The paper analytically shows how firm characteristics shape the optimal contract and the horizon of corporate policies, thereby generating a number of novel empirical predictions on the optimality of short- versus long-termism. It also demonstrates that combining short- and long-term agency conflicts naturally leads to asymmetric pay-for-performance in managerial contracts.

How much of a loan should a lender retain, and how do loan sales affect loan performance? We address these questions in a model in which a lender originates loans that it can sell to investors. The lender reduces default risk through screening at origination and monitoring after origination, but is subject to moral hazard. The optimal lender-investor contract can be implemented by requiring the lender to initially retain a share of the loan that it gradually sells to investors, rationalizing loan sales after origination. The model generates novel predictions linking loan and lender characteristics to initial retention, sales dynamics, and loan performance.

Despite their claimed advantages, toehold strategies have rarely been adopted in recent corporate takeovers and do not seem to increase acquirer returns. Are toeholds ineffective and becoming obsolete? We show that this is not the case. We find that toeholds are preferred for executing difficult takeovers. After controlling for such endogeneity in toehold-based acquisitions, toeholds do increase returns to acquirers. Moreover, the performance of toehold strategies improves over time due to more selective and more effective acquisition of toeholds. We find that this time trend is in part explained by learning from past toehold acquisitions.

We model the financing, cash holdings, and hedging policies of a firm facing financing frictions and subject to permanent and transitory cash flow shocks. The permanent and transitory shocks generate distinct, sometimes opposite, effects on corporate policies. We use the model to develop a rich set of empirical predictions. In our model, correlated permanent and transitory shocks imply less risk, lower cash savings, and a drop in the value of credit lines. The composition of cash-flow shocks affects the cash-flow sensitivity of cash, which can be positive or negative. Optimal hedging of permanent and transitory shocks may involve opposite positions. Received September 16, 2015; editorial decision July 3, 2016 by Editor Itay Goldstein.

Theory has recently shown that corporate policies should depend on firms’ exposure to short- and long-lived cash flow shocks and the correlation between these shocks. We provide granular estimates of these parameters for Compustat firms using a new filter that uses only cash flow data and the theoretical restrictions of a canonical cash flow model. As predicted by theory, we find that the estimated parameters are strongly related to corporate liquidity and financing choices, that firms with a higher estimated correlation between shocks implement riskier policies, and that the sign of this correlation determines the cash flow sensitivity of cash.