Predicting Fraud by Investment Managers

Networks Financial Institute Working Paper No. 2011-WP-09

47 Pages Posted: 9 May 2011 Last revised: 8 Aug 2011

William Christopher Gerken

University of Kentucky - Finance

Stephen G. Dimmock

Nanyang Technological University - Division of Finance

Date Written: August 7, 2011

Abstract

We test the predictability of investment fraud using a panel of mandatory disclosures filed with the SEC. We find that disclosures related to past regulatory and legal violations, conflicts of interest, and monitoring have significant power to predict fraud. Avoiding the 5% of firms with the highest ex ante predicted fraud risk would allow an investor to avoid 29% of fraud cases and over 40% of the total dollar losses from fraud. We find no evidence that investors receive compensation for fraud risk through superior performance or lower fees. We examine the barriers to implementing fraud prediction models and suggest changes to the SEC's data access policies that could benefit investors.

Keywords: Fraud, Investment Fraud, Operational Risk, SEC, Disclosure, Form ADV

JEL Classification: G2, G20, G28, K2, K22

Suggested Citation

Gerken, William Christopher and Dimmock, Stephen G., Predicting Fraud by Investment Managers (August 7, 2011). Networks Financial Institute Working Paper No. 2011-WP-09. Available at SSRN: https://ssrn.com/abstract=1832770 or http://dx.doi.org/10.2139/ssrn.1832770

William Christopher Gerken (Contact Author)

University of Kentucky - Finance ( email )

College of Business & Economics
Lexington, KY 40506-0034
United States

Stephen G. Dimmock

Nanyang Technological University - Division of Finance ( email )

S3-B1B-76 Nanyang Avenue
Singapore, 639798
Singapore

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