[I use daily mutual fund returns to shed new light on the question of whether or not mutual fund managers are successful market timers. Previous studies find that funds are unable to time the market return. I study the funds' ability to time market volatility. I show that volatility timing is an important factor in the returns of mutual funds and has led to higher risk-adjusted returns. The returns of surviving funds are especially sensitive to market volatility; those of nonsurvivors are not.]

We analyze mutual fund industry selectivity—the performance of a fund’s industry allocation relative to the market. We find that industry selection accounts for a full third of fund performance based on two-digit standard industrial classification (SIC) codes, with the remaining attributable to the performance of individual stocks relative to their own industries. More importantly, we find that industry-selection skill drives persistence in relative performance. Unlike stock-selection ability, industry selectivity is not eroded by increasing fund assets. Our results suggest that accounting for a manager’s ability to pick outperforming industries provides information beyond standard performance measures that can enhance a fund investor’s future performance. (JEL G11, G14, G23)

Daily returns are used to examine how mutual funds actively alter the risk of their portfolios in response to past performance. Compared to monthly data, daily returns produce much more efficient estimates of fund volatility, which give vastly different inferences about the behavior of fund managers. In particular, monthly results consistent with under-performers increasing their risk relative to better performing funds disappear with daily data. The differences in the monthly and daily results arise from biases in the monthly volatility estimates attributable to daily return autocorrelation.

We estimate parameters of standard stock selection and market timing models using daily mutual fund returns and quarterly measurement periods. We then rank funds quarterly by abnormal return and measure the performance of each decile the following quarter. The average abnormal return of the top decile in the post-ranking quarter is 39 basis points. The post-ranking abnormal return disappears when funds are evaluated over longer periods. These results suggest that superior performance is a short-lived phenomenon that is observable only when funds are evaluated several times a year.

I use daily mutual fund returns to shed new light on the question of whether or not mutual fund managers are successful market timers. Previous studies find that funds are unable to time the market return. I study the funds' ability to time market volatility. I show that volatility timing is an important factor in the returns of mutual funds and has led to higher risk-adjusted returns. The returns of surviving funds are especially sensitive to market volatility; those of nonsurvivors are not.

The Morning Call and Midday Call segments on CNBC TV provide a unique opportunity to study the efficient market hypothesis. The segments report analysts’ views about individual stocks and are broadcast when the market is open. We find that prices respond to reports within seconds of initial mention, with positive reports fully incorporated within one minute. Trading intensity doubles in the first minute, with a significant increase in buyer- (seller-) initiated trades after positive (negative) reports. Traders who execute within 15 seconds of the initial mention make small but significant profits by trading on positive reports during the Midday Call.

This paper measures changes in mutual fund trading costs following two reductions in the tick size of U.S. equity markets: the switch from eighths to sixteenths and the subsequent switch to decimals. We estimate trading costs by comparing a mutual fund's daily returns to the daily returns of a synthetic benchmark portfolio that matches the fund's holdings but has zero trading costs by construction. We find that the average change in trading costs of actively managed funds was positive following both reductions in tick size with a larger and statistically significant increase following decimalization. In contrast, index fund trading costs were unaffected.

We estimate parameters of standard stock selection and market timing models using daily mutual fund returns and quarterly measurement periods. We then rank funds quarterly by abnormal return and measure the performance of each decile the following quarter. The average abnormal return of the top decile in the post-ranking quarter is 39 basis points. The post-ranking abnormal return disappears when funds are evaluated over longer periods. These results suggest that superior performance is a short-lived phenomenon that is observable only when funds are evaluated several times a year.

Mutual fund returns are significantly related to stock characteristics in the cross-section after controlling for risk via factor models. We develop a new double-adjusted approach that controls for both factor model betas and stock characteristics in one performance measure. The new measure substantially affects performance rankings, with a quarter of funds experiencing a change in their percentile ranking greater than 10. Double-adjusted performance produces strong evidence of persistence in relative performance. Inference based on the new measure often differs, sometimes dramatically, from that based on traditional performance estimates. Received November 22, 2019; editorial decision June 28, 2020; Editor: Jeffrey Pontiff. Authors have furnished an Internet Appendix,which is available on the Oxford University Press Web site next to the link to the final published paper online.

We examine active retail mutual funds and institutional products with a mandate to invest in global equity markets. We find little reliable evidence of alphas in the aggregate or on average. The right tail of the distribution contains some large alphas. Decomposing stock selection from country selection, we find some evidence of superior stock picking abilities in the extreme right tail. However, simulations suggest that they are produced just as likely by luck as by skill. Persistence tests show little evidence of continuation in superior performance.