We study the size and drivers of non-standard errors (Menkveld et al., 2021) in portfolio sorts across 14 common methodological decision nodes and 40 sorting variables. These non-standard errors range between 0.05 and 0.26 percent and are, on average, larger than standard errors. Supposedly...

This paper shows that the consumption-based asset pricing model (C-CAPM) with low-probability disaster risk rationalizes large pricing errors, i.e., Euler equation errors. This result is remarkable, since Lettau and Ludvigson (2009) show that leading asset pricing models cannot explain sizeable...

If realized return is not the ex-post realization of the ex-ante expectation, can we use average realized return to estimate the expected return? In text books, the authors treat realized return as a sample of return. In this paper, we redefine realized return and the ex-post return, and we...

For a comprehensive set of 21 equity premium predictors we find dramatic disagreement between out-of-sample predictability results depending on the choice of the sample split date. To resolve this issue we propose reporting in graphical form the out-of-sample predictability criteria for every...

I examine the sample selection bias in portfolio horse race. Numerous studies propose mean-variance portfolio rules to outperform the naive 1/N portfolio rule. However, the outperformance is often justified by a small number of pre-selected datasets. Using a new performance test based on a large...