We estimate a model for the process for setting IPO spreads and offer prices. We establish that the partially rigid spread schedule observed for IPOs, where over 90% of IPOs with proceeds between $20 and $80 million have a spread of 7%, can be rationalized as optimal collusion. Optimal collusion creates a rationale for high underpricing, and we use data on both spreads and underpricing to estimate structural parameters. Our estimates suggest that firms benefit from holding IPOs but that idiosyncratic manager preferences may drive much of the IPO market. Much of the money left on the table is estimated to accrue to underwriters.

ABSTRACT We propose a labor market model in which financial firms compete for a scarce supply of workers who can be employed as either bankers or traders. While hiring bankers helps create a surplus that can be split between a firm and its trading counterparties, hiring traders helps the firm appropriate a greater share of that surplus away from its counterparties. Firms bid defensively for workers bound to become traders, who then earn more than bankers. As counterparties employ more traders, the benefit of employing bankers decreases. The model sheds light on the historical evolution of compensation in finance.

We estimate a dynamic model of the decision to close a troubled bank. Regulators trade off an aversion to closing banks against the risk that allowing a bank to continue will raise the eventual costs to the deposit insurance fund. Using a conditional choice probability approach, we estimate the costs associated with closing banks, both in direct costs to the insurance fund and in other costs perceived by regulators, either social or personal. We find that delayed closures were driven by a desire to defer costs, an aversion to closing the largest and smallest troubled banks, and political influence.

Conventional wisdom suggests that high-reputation banks will generally produce good securities to maintain their long-run reputation. We show with a simple model that, when securities are complex a high-reputation bank may produce assets that underperform during market downturns. We examine this possibility using a unique sample of $10.1 trillion of CLO, MBS, ABS, and CDOs. Contrary to the conventional view, securities issued by more reputable banks did not outperform but, rather, had higher proportions of capital in default.

ABSTRACT We perform an experimental study to assess the effect of complexity on asset trading. We find that higher complexity leads to increased price volatility, lower liquidity, and decreased trade efficiency especially when repeated bargaining takes place. However, the channel through which complexity acts is not simply due to the added noise induced by estimation error. Rather, complexity alters the bidding strategies used by traders, making them less inclined to trade, even when we control for estimation error across treatments. As such, it appears that adverse selection plays an important role in explaining the trading abnormalities caused by complexity.