FINANCIAL FRAUD: TYPES, METHODS OF DETECTION AND PREVENTION

this article discusses the main types of financial fraud. The results of a survey of Russians conducted by «Ingosstrakh» and NAFI for 2022-2023 are analyzed, which demonstrate an increase in the number of cases of residents of the country encountering crimes within the framework of monetary circulation. It is concluded that the most vulnerable categories that face financial fraud are senior citizens, people who have not received higher education, and women. The algorithm of actions for a person faced with financial fraud is defined, methods of detecting and preventing various types of fraud are considered. In conclusion, it is concluded that it is necessary to improve the financial literacy of the population and cover cases of financial fraud in the media.

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Published
2024-10-24
DOI
https://doi.org/10.58168/moty_111-118
Primary Topic
Crime, Illicit Activities, and Governance
Type
article
Field-Weighted Citation Impact
0.00
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article

FINANCIAL FRAUD: TYPES, METHODS OF DETECTION AND PREVENTION

Irina Zinoveva, A. Korotkaia
Crime, Illicit Activities, and Governance
article

FINANCIAL FRAUD: TYPES, METHODS OF DETECTION AND PREVENTION

Irina Zinoveva, A. Korotkaia
article en

Abstract

this article discusses the main types of financial fraud. The results of a survey of Russians conducted by «Ingosstrakh» and NAFI for 2022-2023 are analyzed, which demonstrate an increase in the number of cases of residents of the country encountering crimes within the framework of monetary circulation. It is concluded that the most vulnerable categories that face financial fraud are senior citizens, people who have not received higher education, and women. The algorithm of actions for a person faced with financial fraud is defined, methods of detecting and preventing various types of fraud are considered. In conclusion, it is concluded that it is necessary to improve the financial literacy of the population and cover cases of financial fraud in the media.

Voronezh State University of Forestry and Technologies (RU)
Openalex Percentile: Top 63%
Crime, Illicit Activities, and Governance
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