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Predicting fraud by investment managers

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  • Dimmock, Stephen G.
  • Gerken, William C.

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.

Suggested Citation

  • Dimmock, Stephen G. & Gerken, William C., 2012. "Predicting fraud by investment managers," Journal of Financial Economics, Elsevier, vol. 105(1), pages 153-173.
    • Handle: RePEc:eee:jfinec:v:105:y:2012:i:1:p:153-173
    DOI: 10.1016/j.jfineco.2012.01.002
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    More about this item

    Keywords

    Fraud; Investment fraud; Operational risk; SEC; Disclosure; Form ADV;
    All these keywords.

    JEL classification:

    • G2 - Financial Economics - - Financial Institutions and Services
    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • K2 - Law and Economics - - Regulation and Business Law
    • K22 - Law and Economics - - Regulation and Business Law - - - Business and Securities Law

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