We provide data and code that successfully reproduces nearly all crosssectional stock return predictors. Our 319 characteristics draw from previous meta-studies, but we differ by comparing our t-stats to the original papers' results. For the 161 characteristics that were clearly significant in...

We provide data and code that successfully reproduces nearly all cross-sectional stock return predictors. Unlike most metastudies, we carefully examine the original papers to determine whether our predictability tests should produce t-stats above 1.96. For the 180 predictors that were clearly...

Commercial softwares dedicated to providing thermodynamic properties of complex mixtures in general have high-cost licenses and high computational cost, which makes its use limited for undergraduate students in remote classes or research tasks. Therefore, an open-source software was developed in...