Revealing the Main Drivers of Financial Misconduct
White-collar crime in financial markets not only causes billions of dollars in financial damage every year, but also poses a significant threat to investors’ confidence in financial markets. A rising stream of academic literature addresses this issue and particularly investigates the phenomenon of financial misconduct (e.g., fraud committed by brokers or financial advisors). Thereby, studies identified different factors that increase the likelihood of white-collar workers committing financial misconduct. Specifically, researchers identified social factors (e.g., place of residence), employer characteristics (e.g., misconduct frequency at the firm level), and personal experience (e.g., own misconduct experience, criminal history, financial situation) as drivers of financial misconduct. However, all of the studies investigated only one or at most some of the potential drivers of financial misconduct so that a comprehensive analysis that reveals the main drivers has yet to be conducted.
Therefore, the goal of this master thesis is to combine different data sets to investigate the main drivers of white-collar workers for committing financial misconduct. Thereby, some of the necessary data sets will be provided whereas others need to be obtained by the student herself. In the first part of the thesis, the student is expected to present a detailed review of the academic literature on white-collar crime with a focus on financial misconduct and drivers for committing misconduct. In the empirical part of the thesis, the student will investigate the explanatory power of a comprehensive set of characteristics and factors related to broker and financial advisor misconduct.