Financial Engineering

Using the staggered adoption of universal demand (UD) laws in the United States, we study the effect of shareholder litigation risk on corporate disclosure. We find that disclosure significantly increases after UD laws make it more difficult to file derivative lawsuits. Specifically, firms issue more earnings forecasts and voluntary 8-K filings, and increase the length of management discussion and analysis (MD&A) in their 10-K filings. We further assess the direct and indirect channels through which UD laws affect firms' disclosure policies.

Recent evidence suggests that investors are inattentive to their portfolios and hire expensive portfolio managers. This paper develops a life-cycle portfolio-choice model in which the investor experiences loss-averse utility over news and can ignore his portfolio. In such a model, the investor prefers to ignore and not rebalance his portfolio most of the time because he dislikes bad news more than he likes good news such that expected news cause a first-order decrease in utility.

The paper draws on Mohanty and Sundaresan (2018) to explore the effects of bankruptcy laws on the ex ante incentive for firms to hedge FX exposures. We use a simple model in which the bankruptcy code may result in deadweight losses, and may allow equity holders a share of residual value of the firm's assets in the bankruptcy proceedings. The paper predicts that, while value-maximising firms promise to hedge a higher fraction of the value of their FX exposure when the debt is issued, they may renege subsequently and take on some FX exposures at the expense of foreign creditors.

We study a multi-server queueing model of a revenue-maximizing firm providing a service to a market of heterogeneous price- and delay-sensitive customers with private individual preferences. The firm may offer a selection of service classes that are differentiated in prices and delays. Using a deterministic relaxation, which highlights the first-order economic structure of the problem, we construct a solution that is incentive compatible and near-optimal in systems with large capacity and market potential.

We examine the relation between shareholder activism and voluntary disclosure. An important consequence of voluntary disclosure is less adverse selection in the capital markets. One class of traders that finds less adverse selection unprofitable is activist investors who target mispriced firms whose valuations they can improve. Consistent with this idea, we find that managers issue earnings and sales forecasts more frequently when their firm is more at risk of attack by activist investors, and that these additional disclosures reduce the likelihood of becoming an activist's target.

We exploit the release of a mobile application for a financial aggregation platform to analyze how technology adoption changes consumer financial decision making. The app reduced the cost of accessing personal financial information, and we find that this led to a drop in non-sufficient fund (NSF) fees. Because of the manner in which these fees are incurred, this represents an unambiguous welfare improvement for users of the platform. The leading explanation for this result appears to be mistake avoidance due to easier access to information.

We evaluate the effects of the 2009 Home Affordable Modification Program (HAMP) that provided intermediaries with sizeable financial incentives to renegotiate mortgages. HAMP increased intensity of renegotiations and prevented substantial number of foreclosures but reached just one-third of its targeted indebted households. This shortfall was in large part due to low renegotiation intensity of a few large intermediaries and was driven by intermediary-specific factors.

Two-sided matching platforms, such as those for labor, accommodation, dating, and taxi hailing, can control and optimize over many aspects of the search for partners. To understand how the search for partners should be designed, we consider a dynamic model of search by strategic agents with costly discovery of pair-specific match value. We find that in many settings, the platform can mitigate wasteful competition in partner search via restricting what agents can see/do.