TY - JOUR T1 - Documentation of the File Drawer Problem at Finance Conferences: <em>A Follow-Up Study</em> JF - The Journal of Investing SP - 86 LP - 89 DO - 10.3905/joi.2020.1.143 VL - 29 IS - 6 AU - Manoela N. Morais AU - Matthew R. Morey Y1 - 2020/09/30 UR - https://pm-research.com/content/29/6/86.abstract N2 - The file drawer problem is a publication bias where journal editors are much more likely to accept empirical papers with statistically significant results than those with statistically nonsignificant results. As a result, papers that have nonsignificant results are not published and relegated to the file drawer, never to be seen by others. In a previous paper, Morey and Yadav (2018) examined the file drawer problem in finance journals and found evidence that strongly suggests that such a publication bias exists in finance journals. In this follow-up study, we examine the prevalence of the file drawer problem at finance conferences. As such we are the first article in finance that we know of to attempt such an analysis. To do this, we examine every single empirical paper presented at the annual Financial Management Association (FMA) conference from 2014–2018. In an examination of 3,425 empirical papers, we found less than 0.5% of these papers had statistically nonsignificant results. These results suggest that there is also a significant file drawer problem at finance conferences.TOPICS: Statistical methods, simulationsKey Findings• The file drawer problem is a publication bias where journal editors are much more likely to accept empirical papers with statistically significant results than those with statistically nonsignificant results. As a result, papers that have nonsignificant results are not published and relegated to the file drawer, never to be seen by others.• This article represents the first article that we know of to examine file-drawer publication bias at finance conferences. To do this, we examine every single empirical paper presented at the annual Financial Management Association (FMA) conference from 2014–2018.• In an examination of 3,425 empirical papers, we found less than 0.5% of these papers had statistically nonsignificant results. These results suggest that there is also a significant file drawer problem at finance conferences. ER -