Knowledge that Transforms

ABSTRACT We model the widespread failure of contracts to share risk using available indices. A borrower and lender can share risk by conditioning repayments on an index. The lender has private information about the ability of this index to measure the true state that the borrower would like to hedge. The lender is risk‐averse and thus requires a premium to insure the borrower. The borrower, however, might be paying something for nothing if the index is a poor measure of the true state. We provide sufficient conditions for this effect to cause the borrower to choose a nonindexed contract instead.

ABSTRACT In models of trading with heterogeneous beliefs following Harrison‐Kreps, short selling is prohibited and agents face constant marginal costs‐of‐carry. The resale option guarantees that prices exceed buy‐and‐hold prices and the difference is identified as a bubble. We propose a model where risk‐neutral agents face asymmetric increasing marginal costs on long and short positions. Here, agents also value an option to delay, and a Hamilton‐Jacobi‐Bellman equation quantifies the influence of costs on prices. An unexpected decrease in shorting costs may deflate a bubble, linking financial innovations that facilitated shorting of mortgage‐backed securities to the collapse of prices.

ABSTRACT We present a model of the market for advice in which advisers have conflicts of interest and compete for heterogeneous customers through information provision. The competitive equilibrium features information dispersion and partial disclosure. Although conflicted fees lead to distorted information, they are irrelevant for customers' welfare: banning conflicted fees improves only the information quality, not customers' welfare. Instead, financial literacy education for the least informed customers can improve all customers' welfare because of a spillover effect. Furthermore, customers who trade through advisers realize lower average returns, which rationalizes empirical findings.

ABSTRACT Contrary to conventional wisdom, we document that approximately 15% of venture capitalist (VC)‐backed firms raise additional capital from VCs in the five years after going public. We propose two explanations for why firms revert to VC financing post‐IPO (initial public offering). First, we hypothesize that VC participation in post‐IPO financing represents an efficient solution to informational problems that would otherwise constrain firms’ abilities to exploit value‐increasing investments. Analyses of firm and VC characteristics, together with the finding that these investments are value‐increasing for both VCs and the underlying companies, support this hypothesis. We find no support for the alternative that agency conflicts motivate these investments.

ABSTRACT This paper investigates the pricing of bank loans relative to capital market debt. The analysis uses a novel sample of loans matched with bond spreads from the same firm on the same date. After accounting for seniority, lenders earn a large premium relative to the bond‐implied credit spread. In a sample of secured term loans to noninvestment‐grade firms, the average premium is 140 to 170 bps or about half of the all‐in‐drawn spread. This is the first direct evidence of firms' willingness to pay for bank credit and raises questions about the nature of competition in the loan market.

ABSTRACT We survey a representative sample of U.S. individuals about how well leading academic theories describe their financial beliefs and decisions. We find substantial support for many factors hypothesized to affect portfolio equity share, particularly background risk, investment horizon, rare disasters, transactional factors, and fixed costs of stock market participation. Individuals tend to believe that past mutual fund performance is a good signal of stock‐picking skill, actively managed funds do not suffer from diseconomies of scale, value stocks are safer and do not have higher expected returns, and high‐momentum stocks are riskier and do have higher expected returns.

ABSTRACT We study sources of investor disagreement using sentiment of investors from a social media investing platform, combined with information on the users' investment approaches (e.g., technical, fundamental). We examine how much of overall disagreement is driven by different information sets versus differential interpretation of information by studying disagreement within and across investment approaches. Overall disagreement is evenly split between both sources of disagreement, but within‐group disagreement is more tightly related to trading volume than cross‐group disagreement. Although both sources of disagreement are important, our findings suggest that information differences are more important for trading than differences across market approaches.

ABSTRACT We develop a framework to explore the effect of credit ratings on loan origination. We show that ratings endogenously shift the economy from a signaling equilibrium, in which banks inefficiently retain loans to signal quality, toward an originate‐to‐distribute equilibrium with zero retention and inefficiently low lending standards. Ratings increase overall efficiency, provided that the reduction in costly retention more than compensates for the origination of some negative net present value loans. We study how banks' ability to screen loans affects these predictions and use the model to analyze commonly proposed policies such as mandatory “skin in the game.”

ABSTRACT The reliability of traditional asset pricing tests depends on: (i) the correlations between asset returns and factors; (ii) the time series sample size T compared to the number of assets N . For macro‐risk factors, like consumption growth, (i) and (ii) are often such that traditional tests cannot be trusted. We extend the Gibbons‐Ross‐Shanken statistic to test identification of risk premia and construct their 95% confidence sets. These sets are wide or unbounded when T and N are close, but show that average returns are not fully spanned by betas when T exceeds N considerably. Our findings indicate when meaningful empirical inference is feasible.

ABSTRACT We study the financial and labor market impacts of bad credit reports. Using difference‐in‐differences variation from the staggered removal of bankruptcy flags, we show that bankruptcy flag removal leads to economically large increases in credit limits and borrowing. Using administrative tax records linked to personal bankruptcy records, we estimate economically small effects of flag removal on employment and earnings outcomes. We rationalize these contrasting results by showing that, conditional on basic observables, “hidden” bankruptcy flags are strongly correlated with adverse credit market outcomes but have no predictive power for measures of job performance.