We develop a three-factor no-arbitrage model for valuing mortgage-backed securities in which we solve for the implied prepayment function from the cross-section of market prices. This model closely fits the cross-section of mortgage-backed security prices without needing to specify an econometric prepayment model. We find that implied prepayments are generally higher than actual prepayments, providing direct evidence of significant macroeconomic-driven prepayment risk premiums in mortgage-backed security prices. We also find evidence that mortgage-backed security prices were significantly affected by Fannie Mae credit risk and the Federal Reserve’s quantitative easing programs. Received May 10, 2016; editorial decision September 22, 2017 by Editor Stijn Van Nieuwerburgh.

We develop a model of the joint capital structure decisions of banks and their borrowers. Bank leverage of 85% or higher emerges because bank seniority both dramatically reduces bank asset volatility and incentivizes risk-taking by producing a skewed return distribution. Nonfinancial firms choose low leverage to protect their banks, presenting a partial resolution to the low-leverage puzzle. Our setup naturally extends to include government actions as we model bank assets using a modified Basel framework. Deposit insurance and bailout expectations lead banks and borrowers to take on more risk. Capital regulation lowers bank leverage but can increase bank risk due to a compensating increase in borrower leverage. Despite this, doubling current capital requirements reduces bank default risk by up to 90%, with only a small increase in loan interest rates.

Access to finance helps explain the link between the historical African slave trade and current gross domestic product. We first present mistrust, weakened institutions, and ethnic fractionalization as plausible historical channels linking the slave trade to modern finance and development. We then show (i) the slave trade is consistently linked to reduced access to the formal and trade credit needed by modern firms, (ii) this shortage particularly reduces capital investment in smaller firms not in business groups, and (iii) the slave trade cannot explain most other business obstacles, suggesting that long-term societal shocks are exceptionally important for finance. Received December 16, 2014; editorial decision June 29, 2017 by Editor Philip Strahan.

Conditional independence of treatment assignment from potential outcomes is a commonly used but nonrefutable assumption. We derive identified sets for various treatment effect parameters under nonparametric deviations from this conditional independence assumption. These deviations are defined via a conditional treatment assignment probability, which makes it straightforward to interpret. Our results can be used to assess the robustness of empirical conclusions obtained under the baseline conditional independence assumption.

We provide the first examination of hedge fund boards and their directors. The majority of directorships are held by extremely busy independent directors. These directors are sought by funds because they have more reputational capital at stake, making them independent and credible monitors whose presence can certify fund quality to investors. Busy independent directors are more likely to be hired by high-quality funds, and their departure from the board is associated with investor withdrawals. Moreover, funds with busy independent directors are less likely to commit fraud, abuse discretionary liquidity restrictions, or engage in performance-based risk shifting.

If opportunistic acquirers can buy targets using overvalued shares, then there is an inefficiency in the merger and acquisition (M&A) market: the most overvalued rather than the highest-synergy bidder may buy the target. We quantify this inefficiency using a structural estimation approach. We find that the M&A market allocates resources efficiently on average. Opportunistic bidders crowd out high-synergy bidders in only 7% of transactions, resulting in an average synergy loss equal to 9% of the target’s value in these inefficient deals. The implied average loss across all deals is 0.63%. Although the inefficiency is small on average, it is large for certain deals, and it is larger when misvaluation is more likely. Even when opportunistic bidders lose the contest, they drive up prices, imposing a large negative externality on the winning synergistic bidders.

This paper investigates banks’ incentive to bias the risk estimates they report to regulators. Within loan syndicates, we find that banks with less capital report lower risk estimates. Consistent with an effort to mitigate capital requirements, the sensitivity to capital is robust to bank fixed effects and greater for large, risky, and opaque credits. Also, low-capital banks’ risk estimates have less explanatory power than those of high-capital banks with regard to loan prices, indicating that their estimates incorporate less information. Our results suggest banks underreport risk in response to capital constraints and highlight the perils of regulation premised on self-reporting. Received September 21, 2016; editorial decision September 18, 2017 by Editor Philip Strahan.

Personal managerial indiscretions are separate from a firm's business activities but provide information about the manager's integrity. Consequently, they could affect counterparties’ trust in the firm and the firm's value and operations. We find that companies of accused executives experience significant wealth deterioration, reduced operating margins, and lost business partners. Indiscretions are also associated with an increased probability of unrelated shareholder-initiated lawsuits, Department of Justice and Securities and Exchange Commission investigations, and managed earnings. Further, chief executive officers and boards face labor market consequences, including forced turnover, pay cuts, and lower shareholder votes at re-election. Indiscretions occur more often at poorly governed firms where disciplinary turnover is less likely.

We use the Bayesian method introduced by Gallant and McCulloch (2009) to estimate consumption-based asset pricing models featuring smooth ambiguity preferences. We rely on semi-nonparametric estimation of a flexible auxiliary model in our structural estimation. Based on the market and aggregate consumption data, our estimation provides statistical support for asset pricing models with smooth ambiguity. Statistical model comparison shows that models with ambiguity, learning, and time-varying volatility are preferred to the long-run risk model. We also analyze asset pricing implications of the estimated models. Received April 12, 2016; editorial decision September 11, 2018 by Editor Stijn Van Nieuwerburgh.

We examine the effects of financial reporting regulation on firms’ banking. Exploiting discontinuous public disclosure and auditing requirements assigned to otherwise similar small and medium-sized private firms, we document that financial reporting regulation reduces firms’ reliance on concentrated and local bank relationships and increases banks’ reliance on firms’ financial reporting, consistent with a shift in firms’ banking from relationship toward transactional approaches. Our evidence suggests that financial reporting regulation substitutes for banks’ information production role by burdening firms with the disclosure and auditing of their financial statements, consistent with institutional complementarities between reporting and banking systems. Received October 21, 2016; editorial decision September 15, 2017 by Editor Philip Strahan.