We propose that fund performance can be predicted by its R2, obtained from a regression of its returns on a multi-factor benchmark model. Lower R2 indicates greater selectivity and it significantly predicts better performance. Stock funds sorted into lowest-quintile lagged R2 and...

We propose an explanation for the disappearing dividend phenomenon: the decline in the information content of dividend announcements. This reduces the propensity of firms to pay or increase dividends, since dividends are costly. The decline in the information content of dividend, is partly...

This paper examines three theories of IPO underpricing, using data from Israel where the allocations to subscribers are equally prorated and publicly known. Rock s (1986) theory of adverse selection is supported: subscribers receive greater allocations in overpriced IPOs. And, while the average...

This paper examines three theories of IPO underpricing, using data from Israel where the allocations to subscribers are equally prorated and publicly known. Rock s (1986) theory of adverse selection is supported: subscribers receive greater allocations in overpriced IPOs. And, while the average...

We propose a new hypothesis testing method for multi-predictor regressions with finite samples, where the dependent variable is regressed on lagged variables that are autoregressive. It is based on the augmented regression method (ARM; Amihud and Hurvich(2004)), which produces reduced-bias...

We propose that fund performance can be predicted by its R2, obtained from a regression of its returns on a multi-factor benchmark model. Lower R2 indicates greater selectivity and it significantly predicts better performance. Stock funds sorted into lowest-quintile lagged R2 and...

This paper tests the hypothesis of Jovanovic and Braguinsky (AER, 2004) that acquisition attempts convey negative information about the bidder's existing projects. We study failed acquisition bids, which enable a before-and-after comparison of the bidder firm as is without the acquisition...

Studies of predictive regressions analyze the case where yt is predicted by xt-1 with xt being first-order autoregressive, AR(1). Under some conditions, the OLS- estimated predictive coefficient is known to be biased. We analyze a predictive model where yt is predicted by xt-1, xt-2,... xt-p...