Knowledge that Transforms

ABSTRACT We provide evidence that agents have slow‐moving beliefs about stock market volatility that lead to initial underreaction to volatility shocks followed by delayed overreaction. These dynamics are mirrored in the VIX and variance risk premiums, which reflect investor expectations about volatility, and are also supported in both surveys and firm‐level option prices. We embed these expectations into an asset pricing model and find that the model can account for a number of stylized facts about market returns and return volatility that are difficult to reconcile, including a weak or even negative risk‐return trade‐off.

ABSTRACT We study secured lending contracts using a proprietary, loan‐level database of bilateral repurchase agreements containing groups of simultaneous loans backed by multiple tranches within a securitization. We show that lower‐quality loans (i.e., loans backed by lower‐rated collateral) have higher margins and spreads. We calibrate a model using collateral asset prices and find that lower‐quality loans are riskier despite the higher margins, yet cheaper for the borrower. This finding is consistent with a combination of lender optimism and reaching for yield. We also show that lower‐quality loans have longer maturity, consistent with models of rollover concerns with asymmetric information.

ABSTRACT We provide the first systematic evidence on the link between long‐short anomaly portfolio returns—a cornerstone of the cross‐sectional literature—and the time‐series predictability of the aggregate market excess return. Using 100 representative anomalies from the literature, we employ a variety of shrinkage techniques (including machine learning, forecast combination, and dimension reduction) to efficiently extract predictive signals in a high‐dimensional setting. We find that long‐short anomaly portfolio returns evince statistically and economically significant out‐of‐sample predictive ability for the market excess return. The predictive ability of anomaly portfolio returns appears to stem from asymmetric limits of arbitrage and overpricing correction persistence.

ABSTRACT I find that returns are predictably negative for several months after the onset of recessions, becoming high only thereafter. I identify business cycle turning points by estimating a state‐space model using macroeconomic data. Conditioning on the business cycle further reveals that returns exhibit momentum in recessions, whereas in expansions they display the mild reversals expected from discount rate changes. A strategy exploiting this pattern produces positive alphas. Using analyst forecast data, I show that my findings are consistent with investors' slow reaction to recessions. When expected returns are negative, analysts are too optimistic and their downward expectation revisions are exceptionally high.

ABSTRACT This paper presents empirical evidence that the maturity structure of financial leverage affects the cross‐section of equity returns. We find that short‐term leverage is associated with a positive premium, whereas long‐term leverage is not. The premium for short‐term compared to long‐term leverage reflects higher exposure of equity to systematic risk. To rationalize our findings, we show that the same patterns emerge in a model of debt rollover risk with endogenous leverage and debt maturity choice. Our results suggest that analyses of leverage effects in asset prices and corporate financial applications should account for the maturity structure of debt.

ABSTRACT We find that three factors—cryptocurrency market, size, and momentum—capture the cross‐sectional expected cryptocurrency returns. We consider a comprehensive list of price‐ and market‐related return predictors in the stock market and construct their cryptocurrency counterparts. Ten cryptocurrency characteristics form successful long‐short strategies that generate sizable and statistically significant excess returns, and we show that all of these strategies are accounted for by the cryptocurrency three‐factor model. Lastly, we examine potential underlying mechanisms of the cryptocurrency size and momentum effects.

ABSTRACT We analyze the effect of import competition on household balance sheets using individual data on consumer finances. We exploit variation in local industry exposure to foreign competition to study households' response to the income shock triggered by China's accession to the World Trade Organization. We show that household debt increases significantly in regions where manufacturing industries are more exposed to import competition. The effects are driven by home equity extraction and are concentrated in areas with strong house price growth. Our results highlight the role played by mortgage markets in absorbing displacement shocks triggered by globalization.

ABSTRACT Short‐term trade ideas are a component of analyst research highly valued by institutional investors. Using a novel and comprehensive database, we find that trade ideas have a stock price impact at least as large as recommendation and target price changes. Trade ideas based on expectations of future events are more informative than those identifying incomplete incorporation of past information in stock prices. Analysts with better access to a firm's management produce better trade ideas. Institutional investors trade in the direction of trade ideas. Investors following trade ideas can earn significant abnormal returns, consistent with analysts possessing valuable short‐term stock‐picking skills.

ABSTRACT We propose a new measure of private information in decentralized markets—connections—which exploits the time variation in the number of dealers with whom a client trades in a time period. Using trade‐level data for the U.K. government bond market, we show that clients perform better when having more connections as their trades predict future price movements. Time variation in market‐wide connections also helps explain yield dynamics. Given our novel measure, we present two applications suggesting that (i) dealers pass on information, acquired from their informed clients, to their affiliates, and (ii) informed clients better predict the orderflow intermediated by their dealers.

ABSTRACT Variable annuities, which package mutual funds with minimum return guarantees over long horizons, accounted for $1.5 trillion or 35% of U.S. life insurer liabilities in 2015. Sales decreased and fees increased during the global financial crisis, and insurers made guarantees less generous or stopped offering guarantees to reduce risk exposure. These effects persist in the low‐interest rate environment after the global financial crisis, and variable annuity insurers suffered large equity drawdowns during the COVID‐19 crisis. We develop and estimate a model of insurance markets in which financial frictions and market power determine pricing, contract characteristics, and the degree of market completeness.