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Risk curves: A methodology to evaluate the risk of fraud by stock price manipulation based on game theory and detection software

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Listed:
  • Bernardino, Wilton
  • Ospina, Raydonal
  • Souza, Filipe Costa de
  • Rêgo, Leandro
  • Pereira, Felipe

Abstract

Historically, fraudulent episodes result in high losses for investors, layoff of executives, and the erosion of confidence in the stock market, among other negative consequences. In this paper, we established a framework that connects Game Theory and Detection Software to estimate the probability of defrauding by manipulation of stock prices in terms of the effort-damage ratio of the audit team. Furthermore, the method allows to define optimum thresholds values for the score random variable in the detection software's alarm structure. The proposed approach is illustrated by analyzing the financial episode called the plier bubble that occurred in Brazil in 2011. The results reveal a suitable way to quantify the fraud risk probability, thus being a valuable tool to risk management in the stock market.

Suggested Citation

  • Bernardino, Wilton & Ospina, Raydonal & Souza, Filipe Costa de & Rêgo, Leandro & Pereira, Felipe, 2021. "Risk curves: A methodology to evaluate the risk of fraud by stock price manipulation based on game theory and detection software," Journal of Economics and Business, Elsevier, vol. 113(C).
    • Handle: RePEc:eee:jebusi:v:113:y:2021:i:c:s0148619520303970
    DOI: 10.1016/j.jeconbus.2020.105953
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    References listed on IDEAS

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    1. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    2. Jörg Schiller, 2006. "The Impact of Insurance Fraud Detection Systems," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 73(3), pages 421-438, September.
    3. Knapp, Carol A. & Knapp, Michael C., 2001. "The effects of experience and explicit fraud risk assessment in detecting fraud with analytical procedures," Accounting, Organizations and Society, Elsevier, vol. 26(1), pages 25-37, January.
    4. Jacob W. Ulvila & John E. Gaffney, 2004. "A Decision Analysis Method for Evaluating Computer Intrusion Detection Systems," Decision Analysis, INFORMS, vol. 1(1), pages 35-50, March.
    5. Peter Cheng & Bradley D. Childs & William W. Sheng, 2001. "Strategic Auditing: An Incomplete Information Model," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 28(5-6), pages 631-652.
    6. BrownJr., William O. & Burdekin, Richard C. K., 2000. "Fraud and financial markets: the 1997 collapse of the junior mining stocks," Journal of Economics and Business, Elsevier, vol. 52(3), pages 277-288.
    7. Gerald Eisenkopf & Ruslan Gurtoviy & Verena Utikal, 2017. "Punishment Motives for Small and Big Lies," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 26(2), pages 484-498, June.
    8. Lei Chen, 2016. "Local Institutions, Audit Quality, and Corporate Scandals of US-Listed Foreign Firms," Journal of Business Ethics, Springer, vol. 133(2), pages 351-373, January.
    9. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    10. Stylianos Z. Xanthopoulos & Christos T. Nakas, 2007. "A generalized ROC approach for the validation of credit rating systems and scorecards," Journal of Risk Finance, Emerald Group Publishing, vol. 8(5), pages 481-488, November.
    11. Huseyin Cavusoglu & Srinivasan Raghunathan, 2004. "Configuration of Detection Software: A Comparison of Decision and Game Theory Approaches," Decision Analysis, INFORMS, vol. 1(3), pages 131-148, September.
    12. Peter Cheng & Bradley D. Childs & William W. Sheng, 2001. "Strategic Auditing: An Incomplete Information Model," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 28(5‐6), pages 631-652, June.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Auditing; Detection software; Fraud risk probability; Game theory; Stock market; ROC curves;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • C57 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Econometrics of Games and Auctions
    • M40 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - General

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