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 …

derive the asymptotic hedging error for options under a generalised jump-diffusion model with kernel bias, which nests a …

methodology they uncover positive bias (that is: methodological changes that make it more likely to find sanction success as …

-generation process, the least-squares estimators have smaller bias (in fact zero bias) but larger variances in the long regression than … in the short regression. But if the long regression is also misspecified, the bias may not be smaller. We provide bias …

study comes up with a global ranking of the quality of (trade) governance. The paper also compares our bias-free indicator …