The Market for Financial Adviser Misconduct

Working Paper: NBER ID: w22050

Authors: Mark Egan; Gregor Matvos; Amit Seru

Abstract: We construct a novel database containing the universe of financial advisers in the United States from 2005 to 2015, representing approximately 10% of employment of the finance and insurance sector. We provide the first large-scale study that documents the economy-wide extent of misconduct among financial advisers and the associated labor market consequences of misconduct. Seven percent of advisers have misconduct records, and this share reaches more than 15% at some of the largest advisory firms. Roughly one third of advisers with misconduct are repeat offenders. Prior offenders are five times as likely to engage in new misconduct as the average financial adviser. Firms discipline misconduct: approximately half of financial advisers lose their jobs after misconduct. The labor market partially undoes firm-level discipline by rehiring such advisers. Firms that hire these advisers also have higher rates of prior misconduct themselves, suggesting “matching on misconduct.” These firms are less desirable and offer lower compensation. We argue that heterogeneity in consumer sophistication could explain the prevalence and persistence of misconduct at such firms. Misconduct is concentrated at firms with retail customers and in counties with low education, elderly populations, and high incomes. Our findings are consistent with some firms “specializing” in misconduct and catering to unsophisticated consumers, while others use their clean reputation to attract sophisticated consumers.

Keywords: financial advisers; misconduct; labor market consequences; consumer sophistication

JEL Codes: D14; D18; G24; G28


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
firm size (L25)misconduct prevalence (K42)
prior misconduct (K42)future misconduct (K42)
misconduct (K42)job separation (J63)
rehiring practices (J63)prior misconduct rates (K42)
consumer sophistication (D18)misconduct dynamics (D73)

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