Journal of Finance最新文献

The disposition effect for a stock significantly weakens if the portfolio is at a gain, but is large when it is at a loss. We find this portfolio-driven disposition effect (PDDE) in four independent settings: U.S. and Chinese archival data, as well as U.S. and Chinese experiments. The PDDE is robust to a variety of controls in regression specifications and is not explained by extreme returns, portfolio rebalancing, tax considerations, or investor heterogeneity. Our evidence suggests that investors form mental frames at both the stock and the portfolio levels and that these frames combine to generate the PDDE.

We analyze a principal-agent model in which an effort-averse agent can manipulate a publicly observable performance report. The principal cannot observe the agent's cost of effort, her effort choice, and whether she manipulated the report. An optimal contract links compensation to the realized output and the (possibly manipulated) report. Manipulation can be beneficial to the principal because it can make the report more informative about the agent's effort choice, thereby reducing the agent's information rent. This is achieved through a contract that incentivizes the agent to selectively engage in manipulation based on her effort choice.

Studying China's credit market using a structural default model that integrates credit risk, liquidity, and bailout, we document improved price discovery and a deepening divide between state-owned enterprises (SOEs) and non-SOEs. Amidst liquidity deterioration, the presence of government bailout helps alleviate the heightened liquidity-driven default, making SOE bonds more valuable and widening the SOE premium. Meanwhile, the increased importance of government support makes SOEs more sensitive to bailout, while the heightened default risk increases non-SOEs' sensitivity to credit quality. Examining the real impact, we find severe performance deteriorations of non-SOEs relative to SOEs, reversing the long-standing trend of non-SOEs outperforming SOEs.

All-cash homebuyers account for one-third of U.S. home purchases between 1980 and 2017. We use multiple data sets and research designs to robustly estimate that mortgaged buyers pay an 11% premium over all-cash buyers to compensate home sellers for mortgage transaction frictions. A dynamic, representative-seller model implies only a 3% premium, which would suggest an 8% puzzle. Accounting for heterogeneity in selling conditions explains half of this difference, but a puzzle holds in conditions with high transaction risk. An experimental survey of U.S. homeowners replicates these patterns and suggests that belief distortions can explain the puzzle in these high-risk states.

We analyze a setting in which a board must hire a chief executive officer (CEO) after exerting effort to learn about the quality of each candidate. Optimal effort is asymmetric, implying asymmetric likelihoods of each candidate being chosen. If the board has an infinitesimal bias in favor of one candidate, it allocates effort to maximize the likelihood of that candidate being chosen. Even when the board's prior is that its preferred candidate is inferior, she may still be chosen most often. A glass ceiling can also arise whereby the tendency to hire favored candidates increases as the importance of the position increases.

We examine the timing of returns around the publication of anomaly trading signals. Using a database that captures when information is first publicly released, we show that anomaly returns are concentrated in the first month after information release dates, and these returns decay soon thereafter. We also show that the academic convention of forming portfolios in June underestimates predictability because it uses stale information, which makes some anomalies appear insignificant. In contrast, we show many anomalies do predict returns if portfolios are formed immediately after information releases. Finally, we develop guidance on forming portfolios without using stale information.

The stylized fact that volatility is not priced in individual equity options does not withstand scrutiny. First, we show that the average return of heavily traded deep out-of-the-money call options on stocks is −116 basis points per day. Second, Fama-MacBeth estimates of the volatility risk premium in stock options are similar to those in S&P 500 Index call options. Third, the mean return of heavily traded delta-hedged at-the-money calls (puts) is −23 (−30) basis points. Fourth, the variance risk premium in stock options is negative. Our analysis highlights the importance of microstructure biases and robustness in empirical work with options.

We provide estimates of Treasury convenience premia across the entire term structure of Treasury bills, notes, and bonds over more than a quarter of a century and document a variety of key stylized facts about their time-series and cross-sectional patterns. These results raise concerns about the evolving nature of Treasury markets and suggest that investors may now place less weight on the traditional role of Treasury securities as liquid trading vehicles. These stylized facts provide empirical benchmarks that could help guide future theoretical and empirical work about the economics of safe assets in financial markets.