Knowledge that Transforms

We use a random forest model to classify firms’ financial constraints using only financial variables. Our methodology expands the range of classified firms compared to text-based measures while maintaining similar levels of informativeness. We construct two versions of our constraint measures, one using many firm characteristics and the other using a small set of more primitive characteristics. Using our measures, we find that institutional investors hold a lower percentage of shares in equity-focused constrained firms, while retail investors show a preference for them. Equity issuance and investment of constrained firms also increases during periods of high investor sentiment.

This article uses the enactment of China’s 2007 Property Law (the Law), which reduces the risk of expropriation by local governments, as the setting to investigate the importance of property rights protection for private firm investment. Using propensity score matching and a difference-in-differences design, we find that firms facing weaker property rights protection prior to the Law significantly increase their investment and investment efficiency after the Law. Cross-sectional analyses document evidence consistent with a decrease in firms’ perceived expropriation risk as the main mechanism underlying the Law’s effect. Finally, we show that the Law improves local economic outcomes and employment.

Using a large sample of leveraged loans, we provide evidence that, despite having fewer creditor control rights, covenant-lite (Cov-Lite) loans have similar recovery rates and significantly lower spreads than loans with maintenance covenants. We find that the propensity to borrow Cov-Lite is related to various proxies for the reputational capital of a borrowing firm’s private equity sponsor. We construct a simple model to illustrate the relationship between reputational capital, covenants, and loan spreads in the leveraged loan market. Our model illustrates how reputational capital can substitute for covenants in mitigating agency costs of debt, leading to lower loan spreads for Cov-Lite loans.

Combining experimental data sets from seven individual studies, including 255 asset markets with 2,031 participants, and 36,326 short-term price forecasts, we analyze the role of heterogeneity of beliefs in the organization of trading behavior by reproducing and reconsidering earlier experimental findings. Our results confirm prior evidence that price expectations affect trading behavior. However, heterogeneity in beliefs does not seem to drive overpricing and asset market bubbles, as suggested by earlier studies, and we find no indication of short-term beliefs being better determinants of trading behavior than longer-term beliefs.

We investigate whether firms’ number of credit relationships with financial institutions affects labor market outcomes. Using 5 million observations on matched credit and labor panel data from Brazil, we estimate IV regressions, employing exogenous variation in firm-lender relationships due to nationwide bank M&A activity. Firms with more relationships employ more workers and pay higher wage bills. Credit availability, cost of credit, and financial institution heterogeneity are economic channels. The firm-level results translate into positive macroeconomic effects in municipalities and states. The evidence is novel and indicates the positive effects of multiple relationships on labor market outcomes in an emerging economy.

I develop a model revealing the interplay between a stock’s liquidity and the policies and value of the issuing firm. The model shows that bid-ask spreads increase not only the firm’s cost of capital but also the opportunity cost of cash, then lowering cash reserves, increasing liquidation risk, and reducing firm value. These outcomes are stronger when internalized by liquidity providers, simultaneously leading to a wider bid-ask spread. A two-way relation between the firm and the liquidity of its stock arises, implying that shocks arising within the firm or in the stock market have more complex implications than previously understood.

This article studies how industry peers’ stock prices respond when another firm in the industry is acquired by a foreign firm. The average stock price reactions of industry peers in horizontal foreign acquisitions around deal announcements are significantly negative. Peers’ returns are more negative in growing, less specialized, and competitive industries. Moreover, the negative stock price reactions of industry peers are related to future decreases in their operating performance. Overall, these results suggest that foreign acquisitions have strong competitive effects for the industry peers of U.S. target companies.

Adverse market events can affect credit supply not only by hurting financial fundamentals but also by changing the risk-taking behaviors of individual decision-makers. We provide micro-level evidence of this individual decision-making channel in the U.S. mortgage market. We find that mortgage application rejection rates are more sensitive to foreclosure intensity when loan officers are more exposed to foreclosure news, despite the same housing market and bank fundamentals. Loans originated from the affected branches have lower ex post default rates, consistent with higher lending standards being applied. In the aggregate, this effect results in tighter credit supply during housing market downturns.

We analyze a model in which an anomaly is unknown to arbitrageurs until its discovery, and test the model implications on both asset prices and arbitrageurs’ trading activities. Using data on 99 anomalies documented in the existing literature, we find that the discovery of an anomaly reduces the correlation between the returns of its decile-1 and decile-10 portfolios. This discovery effect is stronger if the aggregate wealth of hedge funds is more volatile. Finally, hedge funds increase (reverse) their positions in exploiting anomalies when their aggregate wealth increases (decreases), further suggesting that these discovery effects operate through arbitrage trading.

We examine the association between margin requirements and the market’s efficiency in incorporating firm-specific and market-level public news. Combining the Fed’s 22 changes in margin requirements with a hand-collected sample of earnings announcements between 1934 and 1975, we show that higher margin requirements induce greater delay in incorporating earnings information into prices. We draw similar conclusions when we analyze the Hou and Moskowitz (2005) price delay measure, as well as indirect measures of leverage constraints over recent years. Further tests suggest that, despite the Fed’s expressed intent to curtail excess speculation, higher margin requirements restrict trading by arbitrageurs more than noise traders.