We assess the consequences for market quality and welfare of different entry regimes and exchange pricing policies. To do so, we integrate a microstructure model with a free-entry, exchange competition model where exchanges have market power in technological services. Free-entry delivers superior liquidity and welfare outcomes vis-á-vis an unregulated monopoly, but entry can be excessive or insufficient. Depending on the extent of the monopolist’s technological services undersupply compared to the first best, a planner can achieve a higher welfare controlling entry or platform fees. Review of Financial Studies, forthcoming

Since the finance industry is transforming into a data industry, measuring the quantity of data investors have about various assets is important. Informed by a structural model, we develop such a cross-sectional measure. We show how our measure differs from price informativeness and use it to document a new fact: data about large high-growth firms is becoming increasingly abundant, relative to data about other firms. Our structural model offers an explanation for this data divergence: large high-growth firms’ data became more valuable, as big firms got bigger and growth magnified the effect of these changes in size.

We ask whether the correlation between mortgage leverage and default is due to moral hazard (the causal effect of leverage) or adverse selection (ex ante risky borrowers choosing larger loans). We separate these information asymmetries using a natural experiment resulting from the contract structure of option adjustable-rate mortgages and unexpected 2008 divergence of indexes that determine rate adjustments. Our point estimates suggest that moral hazard is responsible for 40% of the correlation in our sample, while adverse selection explains 60%. We calibrate a simple model to show that leverage regulation must weigh default prevention against distortions due to adverse selection.

We develop a novel 10-K text-based model of product life cycles and examine firm investment policies. Conditioning on the life cycle substantially improves the power of q to explain investment and reveals a natural ordering of investments over the life cycle. While R&D and CAPX sensitivity are high early in the cycle, acquisitions arise as products mature, and divestitures and product extension investments arise as products decline. q-sensitivities that condition on the life cycle can vary by as much as 400% from traditional sensitivities. The life cycle framework further reveals an enriched relationship between competition, investment, and corporate profits.

Until the 1970s, U.S. mortgage lenders commonly discounted half of the wife’s income in couples’ joint mortgage applications. This changed with the introduction of antidiscrimination legislation in the 1970s, providing a natural experiment to study the relaxation of income-related borrowing constraints. I study the effects of the reform by estimating difference-in-differences regressions and solving a simple calibrated life cycle model. I find substantial positive effects of the reform on mortgage borrowing and homeownership rates of married couples with working wives. Moreover, I find a positive effect on married women’s labor force participation, which strongly amplifies the homeownership and borrowing effects

Why do firms offer nonwage compensation instead of the equivalent amount in financial compensation? We argue that firms use nonwage benefits, specifically female-friendly benefits, such as maternity leave, to increase gender diversity by efficiently attracting women. Using Glassdoor data, we show that firms offer higher-quality maternity leave benefits in labor markets in which female talent is relatively scarce. This result also holds more generally when examining all female-friendly nonwage benefits and is not present when looking at gender-neutral benefits. Moreover, using staggered adoption of state laws, we show that voluntary provision of these benefits can increase firm value. Wei Jiang.

Do potential entrepreneurs remain in wage employment because of concerns that they will face worse job opportunities should their entrepreneurial ventures fail? Using a Canadian reform that extends job-protected leave to one year for women giving birth after a cutoff date, we study whether the option to return to a previous job increases entrepreneurship. A regression discontinuity design reveals that a longer job-protected leave increases entrepreneurship by 1.9 percentage points. These entrepreneurs start incorporated businesses that hire employees, in industries in which experimentation before entry has low costs and high benefits.

We analyze the effects of a reform of capital regulation for U.S. insurance companies in 2009. The reform eliminates capital buffers against unexpected losses associated with portfolio holdings of MBS, but not for other fixed-income assets. After the reform, insurance companies are much more likely to retain downgraded MBS compared to other downgraded assets. This pattern is more pronounced for financially constrained insurers. Exploiting discontinuities in the reform’s implementation, we can identify the relevance of the capital requirements channel. We also document that the insurance industry crowds outs other investors in the new issuance of (high-yield) MBS.

Recent empirical studies have shown that innovative firms heavily rely on debt financing. Debt overhang implies that debt hampers innovation by incumbents. A second effect of debt is that it stimulates innovation by entrants. Using a Schumpeterian growth model with endogenous R&D and financing choices, we demonstrate that this second effect always dominates, so that debt fosters innovation and growth at the aggregate level. Our analysis suggests that the relation between debt and investment is more complex than previously acknowledged and highlights potential limitations of empirical work that solely focuses on incumbents when measuring the effects of debt on investment

We propose a novel measure of arbitrage activity to examine whether arbitrageurs can have a destabilizing effect on the stock market. We focus on stock price momentum, a classic example of a positive-feedback strategy that our theory predicts can be destabilizing. Our measure, dubbed comomentum, is the high-frequency abnormal return correlation among stocks on which a typical momentum strategy would speculate. When comomentum is low, momentum strategies are stabilizing, reflecting an underreaction phenomenon that arbitrageurs correct. When comomentum is high, the returns on momentum stocks strongly revert, reflecting prior overreaction from crowded momentum trading that pushes prices away from fundamentals.