Differentiating risk factors of Ponzi from non-Ponzi frauds

Vasant Raval, Vivek Raval

Research output: Contribution to journalArticle

Abstract

Purpose: This paper aims to analyze the attributes of Ponzi schemes (“Ponzis”) to determine whether they are a unique class of financial fraud. Design/methodology/approach: The authors apply the disposition-based fraud model to classify and differentiate the attributes of Ponzis. This classification exercise helps comprehend the distinct drivers of Ponzis. Findings: Fraud risk factors of Ponzis are different from those involved in other financial frauds. Four propositions about risk and risk mitigation measures are developed. Research limitations/implications: The research approach used is conceptual, not empirical. However, the insights from this exercise should inform how different Ponzis are from other financial frauds and why they should be treated as a separate class for prevention and enforcement. In turn, this may trigger an interest in empirical research focused on the unique risks of Ponzis. Practical implications: Knowledge of risk factors unique to Ponzis will permit a consideration of customized risk mitigation measures to prevent or detect Ponzis. Enforcement actions can also become more effective because of a distinct risk-based classification of Ponzis. Social implications: The prevention of damage from Ponzis hinges upon how well prospective victims are educated to become aware of signs of Ponzis. This should lead to the more effective protection of investors from victimization from Ponzi schemes. Originality/value: The implicit understanding that all financial frauds are alike and that the risk-factors involved are substantially the same across all classes of fraud is challenged. This revelation opens opportunities to add value through focused research on Ponzis as a distinct class of fraud.

Original languageEnglish (US)
Pages (from-to)993-1005
Number of pages13
JournalJournal of Financial Crime
Volume26
Issue number4
DOIs
StatePublished - Oct 7 2019

All Science Journal Classification (ASJC) codes

  • Economics, Econometrics and Finance(all)
  • Law

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