Model for Insurance Fraud Risk Assessment and Prevention

Authors

  • Assoc. Prof. Dr Emil Asenov Department of Finance, Faculty of Finance and Accounting, UNWE Author

Keywords:

Insurance frauds, Legal classification of insurance frauds, Insurance fraud risk assessment, Insurance fraud risk prevention
G17, G18, G22

Abstract

This article critically examines insurance frauds in terms of the risk they create and the significant losses they bring to the insurance industry. A comparative analysis of the classification of insurance frauds in the legal systems of many developed countries has been conducted. A model for risk assessment and the prevention of insurance frauds is presented. In the suggested model the overall risk assessment is achieved by the evaluation of risk elements – probability, exposure (frequency) and results. The possibilities for the practical application of the model of insurance frauds assessment and prevention in the insurance organizations practices have been outlined.

References

ИА Путилина - Международный журнал прикладных и …, 2010 (2010). Проблемы и пути решения мошенничества в сфере страхования. Международный журнал прикладных и фундаментальных исследований. URL: https://elibrary.ru/item.asp?id=13231181

ММ Петров - Имущественные отношения в Российской …, 2006 (2006). Страховое мошенничество: причины возникновения и методы борьбы (положительный опыт СК «Согласие»). Имущественные отношения Российской Федерации, 43. URL: https://cyberleninka.ru/article/n/strahovoe-moshennichestvo-prichiny-vozniknoveniya-i-metody-borby-polozhitelnyy-opyt-sk-soglasie

ММ Петров - Имущественные отношения в Российской …, 2006 (2006). Страховое мошенничество: причины возникновения и методы борьбы (положительный опыт СК «Согласие»). Имущественные отношения Российской Федерации, 43. URL: https://cyberleninka.ru/article/n/strahovoe-moshennichestvo-prichiny-vozniknoveniya-i-metody-borby-polozhitelnyy-opyt-sk-soglasie

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Published

2017-12-21

Issue

Section

Articles

How to Cite

Asenov, E. (2017). Model for Insurance Fraud Risk Assessment and Prevention. UNWE Yearbook, 1, 47-59. https://bjiep.e-dnrs.org/index.php/yb/article/view/5993