When using daily mutual fund returns to study market timing ability, heavy tails and heteroscedasticity significantly challenge the existing methods. We propose a weighted nonparametric measure and test for market timing. The test finds that the traditional parametric inference misclassifies...

We document statistically significant relations between fund beta and past market returns that affect standard estimates of mutual fund market timing. Our evidence of “artificial” market timing emerges when we estimate market timing regressions across time periods that span time variation in...

When using daily mutual fund returns to study the market timing, heavy tails and heteroscedasticity significantly challenge the existing methods. We to accommodate them, we propose a new measure and an efficient test for market timing ability and find that the traditional test misclassifies...

We examine mutual fund market timing based on beta asymmetry from dynamic conditional correlation (DCC) model. We find significant timing using daily returns rather than monthly returns. The sensitivity of our findings to data frequency is consistent with funds altering their market exposure at...