Using a value-weighted rather than an equally weighted regression, Easton and Sommers (2007) show that the upward bias … that the impact of any bias attributable to analysts' forecasts can be reduced to a statistically insignificant 0 ….4%. Second, we show that our estimates of the implied equity risk premium after removing the effect of this bias are between 3 …

The "home bias" phenomenon states that empirically, economic agents often under-utilize opportunities beyond their … country borders, and it is well-documented in various international pricing and purchase patterns. This bias manifests in the … than theoretically predicted to be optimal. Our paper documents another form of home bias, where market participants appear …

Schultz’s (2003, Journal of Finance 58, 483–517) pseudo market-timing bias. Using standard simulation techniques, we find that … the bias is much too small to account for the observed predictive power of the equity share in new issues, corporate …

known factor structure. There, the bias in optimization can be reduced dramatically by using a covariance matrix based on a … portfolios, the bias in factor-model forecasts is less than previously thought. Lastly, we discuss the role of constraints in … mitigating risk forecasting bias …

(Bias, Information, Noise) for disentangling the underlying processes that enable forecasters and forecasting methods to … improve – either by tamping down bias and noise in judgment or by ramping up the efficient extraction of valid information …