Knowledge that Transforms

We document that backfilling in the ExecuComp database introduces a data-conditioning bias that can affect inferences and make replicating previous work difficult. Although backfilling can be advantageous due to greater data coverage, if not addressed, the oversampling of firms with strong managerial incentives and higher subsequent returns leads to a significant upward bias in abnormal compensation, pay-for-performance sensitivity, and the magnitudes of several previously established relations. The bias also can lead to one misinterpreting the appropriate functional form of a relation and whether the data support one compensation theory over another. We offer methods to address this issue.

Using data spanning the twentieth century, we show that the majority of accounting-based return anomalies, including investment, are most likely an artifact of data snooping. When examined out-of-sample by moving either backward or forward in time, the average returns and Sharpe ratios of most anomalies decrease, whereas their volatilities and correlations with other anomalies increase. The few anomalies that do persist out-of-sample correlate with the shift from investment in physical capital to intangible capital and the increasing reliance on debt financing over the twentieth century. Received November 25, 2016; editorial decision September 23, 2017 by Editor Andrew Karolyi.

Equity options display a strong factor structure. The first principal components of the equity volatility levels, skews, and term structures explain a substantial fraction of the crosssectional variation. Furthermore, these principal components are highly correlated with the S&P 500 index option volatility, skew, and term structure, respectively. We develop an equity option valuation model that captures this factor structure. The model predicts that firms with higher market betas have higher implied volatilities, steeper moneyness slopes, and a term structure that covaries more with the market. The model provides a good fit, and the equity option data support the model’s cross-sectional implications.

We find hedge funds that have higher return covariation with a disaster concern index, which we develop through out-of-the-money puts on various economic sector indices, earn significantly higher returns in the cross-section. We provide evidence that these funds’ managers are more skilled at exploiting the market’s ex ante rare disaster concerns (SEDs), which may not be associated with disaster risk. In particular, high-SED funds, on average, outperform low-SED funds by 0.96% per month, but have less exposure to disaster risk. They continue to deliver superior future performance when SEDs are estimated using the disaster concern index purged of disaster risk premiums and have leverage-managing and extreme market-timing abilities. Received June 30, 2014; editorial decision August 26, 2017 by Editor Laura Starks.

Are standard structural models able to explain credit spreads on corporate bonds? In contrast to much of the literature, we find that the Black-Cox model matches the level of investment-grade spreads well. Model spreads for speculative-grade debt are too low, and we find that bond illiquidity contributes to this underpricing. Our analysis makes use of a new approach for calibrating the model to historical default rates that leads to more precise estimates of investment-grade default probabilities. Received October 25, 2016; editorial decision January 12, 2018 by Editor Andrew Karolyi.

The design and implementation of privatization in China is unique in that both are decentralized and administered by the local governments. Based on a proprietary survey data set containing 3, 000 firms in over 200 cities, this paper studies privatization choices and outcomes, as well as the mechanism behind the outcomes. We find that less political opposition to labor downsizing and greater fiscal capacity prompt cities to choose direct sales to insiders (MBOs). This method transfers control rights to private owners, retains limited government supports, imposes hardened budget constraints, allows for restructuring, and achieves performance improvement. Received September 8, 2015; editorial decision February 3, 2017 by Editor Andrew Karolyi.

Past fund performance does a poor job of predicting future outcomes. The reason is noise. Using a random effects framework, we reduce the noise by pooling information from the cross-sectional alpha distribution to make density forecasts for each individual fund’s alpha. In simulations, we show that our method generates parameter estimates that outperform alternative methods, both at the population and at the individual fund level. An out-of-sample forecasting exercise also shows that our method generates improved alpha forecasts. Received November 23, 2016; editorial decision November 1, 2017 by Editor Andrew Karolyi.

We show that queue rationing under price controls is one driver of high-frequency trading. Uniform tick sizes constrain price competition and create rents for liquidity provision, particularly for securities with lower prices. The time priority rule allocates rents to high-frequency traders (HFTs) because of their speed advantage. An increase in relative tick size, defined as uniform tick sizes divided by security prices, increases the fraction of liquidity provided by HFTs but harms liquidity. We find that the message-to-trade ratio is a poor cross-sectional proxy for HFTs’ liquidity provision: stocks with more liquidity provided by HFTs have lower message-to-trade ratios. Received September 15, 2015; editorial decision October 7, 2017 by Editor Robin Greenwood.

Examining the trades of company insiders, I find that a sale of stock at a loss is a much more negative signal about future returns than is a sale of stock at a gain. I consider a range of explanations for my results and find that the evidence is most consistent with the idea that investors derive direct disutility from selling a stock at a loss. Since selling a stock at a loss is painful, an investor who sells at a loss must have particularly negative information. This result offers a novel measurement of the strength of the disposition effect. Received December 7, 2015; editorial decision December 18, 2017 by Editor Robin Greenwood.

We explore the causes of the credit crunch during the European sovereign debt crisis and its impact on the corporate policies of European firms. Our results show that value impairment in banks’ exposures to sovereign debt and the risk-shifting behavior of weakly capitalized banks reduced the probability of firms being granted new syndicated loans by up to 53%. This lending contraction depressed investment, employment, and sales growth of firms affiliated with affected banks. Our estimates based on firm-level data suggest that the credit crunch explains between 44% and 66% of the overall negative real effects suffered by European firms. Received April 5, 2016; editorial decision February 3, 2018 by Editor Andrew Karolyi.