RT Journal Article SR Electronic T1 Documentation of the File Drawer Problem at Finance Conferences: A Follow-Up Study JF The Journal of Investing FD Institutional Investor Journals SP 86 OP 89 DO 10.3905/joi.2020.1.143 VO 29 IS 6 A1 Morais, Manoela N. A1 Morey, Matthew R. YR 2020 UL http://joi.pm-research.com/content/29/6/86.abstract AB 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.TOPIC: Statistical methodsKey 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.