Researcher ORCID Identifier

Stephen G. Dimmock: https://orcid.org/0000-0003-3404-9307

Joseph D. Farizo: https://orcid.org/0000-0001-8130-6252

William C. Gerken: https://orcid.org/0000-0002-5601-8395

Dataset Creation Date

2018

Release Date

8-2018

Publisher

University of Kentucky Libraries

Description

We document the prevalence and variety of frauds committed by investment managers. We show that prior legal and regulatory violations, conflicts-of-interest, and monitoring disclosures available via the Security and Exchange Commission’s Form ADV are useful for predicting fraud. Additional tests show that fraud by rogue employees is more predictable than firm-wide fraud, but both types of fraud are significantly predictable. We revisit the fraud prediction model of Dimmock and Gerken (2012) and test its performance out-of-sample (using fraud cases discovered since that article’s publication). We find the model has significant predictive power for the out-of-sample cases. To encourage additional research in this area, we have made the data used in this chapter publicly available here.

Digital Object Identifier (DOI)

https://doi.org/10.13023/nsjd-rk62

Rights

© 2018 Stephen G. Dimmock, Joseph D. Farizo, and William C. Gerken

This dataset and the additional files are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (https://creativecommons.org/licenses/by-nc-sa/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided that the dataset creators and source are credited, that changes (if any) are clearly indicated, and that the derivative work is distributed under the same license.

Supporting Information

Two other files are available as the additional files noted at the end of this record.

Additional file 1: A list of variables with descriptions

Additional file 2: This file maps the CRD number in the ADV file to the Thomson Reuters MGRNO and MGRNAME identifiers. The dataset creators thank Chishen Wei of Singapore Management University for making this file available.

File Format

Dataset: DTA file (.dta)

Additional file 1: Microsoft Excel worksheet (.xlsx)

Additional file 2: Microsoft Excel comma separated values file (.csv)

File Size

Dataset: 630 MB

Additional file 1: 31 KB

Additional file 2: 2.34 MB

Related Publications

Dimmock, Stephen G., and William C. Gerken. “Predicting Fraud by Investment Managers.” Journal of Financial Economics 105, No. 1 (2012): 153-173. https://doi.org/10.1016/j.jfineco.2012.01.002

“Misconduct and Fraud by Investment Managers" by Stephen G. Dimmock, Joseph D. Farizo, and William C. Gerken in the forthcoming Wiley handbook “Corruption and Fraud in Financial Markets: Malpractice, Misconduct and Manipulation” edited by Carol Alexander and Doug Cumming.

Notes

Dataset creators' personal profiles:

Variable-Descriptions.xlsx (31 kB)
List of variables

matching_crd_mgrno.csv (2406 kB)
CRD number mapping

Share

COinS