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Predicting Fraud by Investment ManagersWilliam Christopher GerkenUniversity of Kentucky - Finance Stephen G. DimmockNanyang Technological University - Division of Finance August 7, 2011 Networks Financial Institute Working Paper No. 2011-WP-09 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.
Number of Pages in PDF File: 47 Keywords: Fraud, Investment Fraud, Operational Risk, SEC, Disclosure, Form ADV JEL Classification: G2, G20, G28, K2, K22 working papers seriesDate posted: May 9, 2011 ; Last revised: August 8, 2011Suggested CitationContact Information
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