We provide a rationale for window dressing where investors respond to conflicting signals of managerial ability inferred from a fund's performance and disclosed portfolio holdings. We contend that window dressers take a risky bet on their performance during a reporting delay period, which...

We provide a rationale for window dressing where investors respond to conflicting signals of managerial ability inferred from a fund's performance and its disclosed portfolio holdings. We contend that window dressers take a risky bet on their performance during a reporting delay period, which...

We study the dynamics of fund manager ownership for a sample of U.S. equity mutual funds from 2005 to 2011. We find that ownership changes positively predict changes in future risk-adjusted fund performance. A one-standarddeviation increase in ownership predicts a 1.6 percent increase in alpha...

This study complements the scarce literature on conditional market timing in the mutual fund industry by assessing determinants of market timing throughout the distribution of market exposure. It builds on the intuition that the degree of responsiveness by fund managers to investigated factors...

The often reported empirical success of trend-following technical timing strategies remains to be puzzling. In previous academic research, many authors admit some prediction power but struggle to substantiate their findings by referring vaguely to insufficient market effciency or unknown hidden...

The beta dispersion, which is the spread of betas on a stock market, can be interpreted as a measure of market vulnerability. This study examines the economic idea of the beta dispersion and its application as a market return predictor. Based on the empirical beta dispersion observed in the US...

This paper examines real-time applications of quickest disorder detection techniques for timing stock markets. The focus is on the stochastic disorder model by Shiryaev, Zhitlukhin, and Ziemba (2014, 2015), Zhitlukhin and Ziemba (2016) and their optimal stopping rule. The model uses sequential...