Approaches to Detect Securities Fraud in Capital Markets

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Author(s): M. Fevzi Esen (University of Health Sciences, Turkey)and Tutku Tuncalı Yaman (Beykent University, Turkey)
Copyright: 2021
Pages: 19
Source title: Handbook of Research on Theory and Practice of Financial Crimes
Source Author(s)/Editor(s): Abdul Rafay (University of Management and Technology, Pakistan)
DOI: 10.4018/978-1-7998-5567-5.ch017

Keywords: Accounting and Finance / Business Science Reference / Criminology & Victimology / Social Sciences & Humanities

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Abstract

Financial markets are vibrant and fragile in terms of structure and mechanism and more prone to risks, failures, and exploitations than the other markets. This motivated the researchers to discuss and analyse the backstage of fraudulent activities in the capital markets. This chapter explains the main characteristics of securities markets and certain types of securities fraud which encompass a wide range of deceptive practices in capital markets. Traditional and modern approaches are reviewed which are used to detect and prevent fraudulent activities using qualitative and data-driven techniques. It is concluded that investors, market professionals, and regulators seek autonomous data mining techniques to combat securities fraud, especially stock market manipulation.

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