Abstract
ABSTRACT Using a unique dataset of FINRA-licenced individuals in Florida in 2015 that was enriched to include job classification information generally not contained in publicly-available regulatory data, a series of binary logistic regressions illustrate how unobserved differences among financial service professional roles may bias results in misconduct analyses. When using CFP® status as the sole predictor of misconduct among the full sample of licenced individuals, CFP® professionals are found to have 1.86 times higher odds of having engaged in culpable advisory-related misconduct compared to non-CFP® professionals. However, after controlling for other relevant factors and limiting the sample to only individuals identified as financial advisors, CFP® professionals are found to have 0.84 times lower odds of having engaged in culpable advisory-related misconduct. Because job classifications are generally not available in the standard SEC and FINRA datasets, these findings illustrate how the inability to control for unobserved differences in job roles may bias misconduct analyses.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.