Abstract
This paper presents the risks of quantitative research pertaining to corporate finance and accounting. These is followed by a survey-like catalogue of good practices in modelling. All considerations are rooted in financial microeconometrics, the field for examining both practical and theoretical questions of applying econometric techniques in corporate finance and accounting research based on the use of microdata (Gruszczynski 2018a). Two major parts of the paper include: (1) discussion of the typical drawbacks in applying regression-type models, like causality vs. correlation, selection of explanatory variables and endogeneity, and (2) list of good practices in microeconometric applications to corporate finance and accounting research, based on Faff (2017), Kennedy (2002), Adams (2017), Hyndman (robjhyndman.com/) and author’s own experience. Catalogue of good practices in microeconometric applications to corporate finance and accounting may serve as the checklist for students and researchers.
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