Knowledge that Transforms

Abstract We investigate the impact of Great Recession policies in California that substantially increased lender pecuniary and time costs of foreclosure. We estimate that the California Foreclosure Prevention Laws (CFPLs) prevented 250,000 California foreclosures (a 20% reduction) and created $$$300 billion in housing wealth. The CFPLs boosted mortgage modifications and reduced borrower transitions into default. They also mitigated foreclosure externalities via increased maintenance spending on homes that entered foreclosure. The CFPLs had minimal adverse side effects on the availability of mortgage credit for new borrowers. Altogether, findings suggest that policy interventions that keep borrowers in their homes may be broadly beneficial during times of widespread housing distress.

Abstract We use clickstream data to show that investors’ demand for information about macroeconomic factors affecting the path of future interest rates is a measure of their uncertainty about this path. In particular, an increase in information demand ahead of influential economic announcements affecting investors’ beliefs about future interest rates predicts a stronger reaction of U.S. Treasury note yields to these announcements, as it should if information demand positively covaries with uncertainty. This relationship does not vanish after using standard measures of uncertainty as predictors, suggesting that clickstream data contain unique information about investors’ uncertainty.

Abstract A privately informed seller seeks to liquidate a portfolio to raise cash. Each asset’s liquidity thus depends on the impact of its sale on the value of the entire portfolio. We demonstrate the importance of cross-signaling and derive sufficient conditions for a liquidity “pecking order” that determines the order of sale. For assets backed by a common pool, liquidity naturally aligns with seniority. Finally, we extend the portfolio liquidation game to consider security design and demonstrate the optimality of pooling securities and selling senior tranches or debt secured by the pool, with retention increasing in asset quality or informational asymmetry.

Abstract We examine the role of factor models and simple performance heuristics in investor decision-making using Morningstar’s 2002 rating methodology change. Before the change, flows strongly correlated with CAPM alphas. After, when funds are ranked by size and book-to-market groups, flows become more sensitive to 3-factor alphas (FF3). Flows to a matched institutional sample (same managers/strategies) follow FF3 before and after the change but are unrelated to the CAPM. Placebo tests with sector funds and other factor loadings show no effects. Our results imply that improvements in simple performance heuristics can result in more sophisticated risk adjustment by retail investors.

Abstract Firms with greater financial flexibility should be better able to fund a revenue shortfall resulting from the COVID-19 shock and benefit less from policy responses. We find that firms with high financial flexibility within an industry experience a stock price drop that is 26%, or 9.7 percentage points, lower than those with low financial flexibility. This differential return persists as stock prices rebound. Firms more exposed to the COVID-19 shock benefit more from cash holdings. No evidence suggests that recent payouts worsened the average firm’s drop in stock price. Our results cannot be explained by a leverage effect.

Abstract We empirically examine the impact of industry exchange-traded funds (IETFs) on informed trading and market efficiency. We find that IETF short interest spikes simultaneously with hedge fund holdings on the member stock before positive earnings surprises, reflecting long-the-stock/short-the-ETF activity. This pattern is stronger among stocks with high industry risk exposure. A difference-in-difference analysis on the ETF inception event shows that IETFs reduce post-earnings-announcement drift more among stocks with high industry risk exposure, suggesting that IETFs improve market efficiency. We also find that the short interest ratio of IETFs positively predicts IETF returns, consistent with the hedging role of IETFs.

Abstract This paper shows that short debt maturities commit equityholders to leverage reductions when refinancing expiring debt in low-profitability states. However, shorter maturities lead to higher transaction costs since larger amounts of expiring debt need to be refinanced. We show that this trade-off between higher expected transaction costs against the commitment to reduce leverage in low-profitability states motivates an optimal maturity structure of corporate debt. Since firms with high costs of financial distress and risky cash flows benefit most from committing to leverage reductions, they have a stronger motive to issue short-term debt. Evidence supports the model’s predictions.

Abstract We study the effect of dividend taxes on the payout and investment policies of publicly listed firms. We exploit a unique setting in Switzerland where, following the corporate tax reform of 2011, some but not all firms were suddenly able to pay tax-exempt dividends. We show that treated firms increase their dividend payout by around 30% after the tax cut. The effect on payout is less pronounced for firms prone to agency conflicts. We find a significant positive abnormal stock return after the announcement of the payment of a tax-exempt dividend. However, reducing dividend taxes does not boost investment.

Abstract We study the effect of personal wealth on entrepreneurial decisions using data on mineral payments from Texas shale drilling to individuals throughout the United States. Large cash windfalls increase business formation by 0.8 to 2.1 percentage points, but do not affect transitions to self-employment. By contrast, cash windfalls significantly extend self-employment spells, but do not affect the duration of business ownership. Our findings help reconcile contrasting findings in prior work: liquidity constraints have different effects on entrepreneurial activity that may depend on the entrepreneur’s motivations.

Abstract We investigate the informational content of prices in financial asset markets. To do so, we use a large number of market experiments in which the amount of information held by traders is precisely observed. We derive a new method to estimate how much of this information is incorporated into market prices. We find that public information is almost completely reflected in prices but that surprisingly little private information—less than 50%—is incorporated into prices. Our estimates therefore suggest that, while semistrong informational efficiency is consistent with the data, financial market prices may be very far from strong-form efficiency.