Journal article Open Access

AN ANALYSIS OF OUTLIERS FOR FRAUD DETECTION IN INDIAN STOCK MARKET

Gurjeet Singh

Fraud Detection is of great importance to financial institutions. In this paper we have tried to
study the Outlier Analysis in Stock Market Fraud Detection. Outlier Analysis is a fundamental
issue in Data Mining, specifically in Fraud Detection. While observing the Indian Stock Market,
we could detect that some of the Trading Entities have suspicious trading patterns that give rise
to a doubt of having some malpractices in stock transactions within Indian Stock Market. All
the facts are presented on the basis of data obtained from the official sites of BSE (Bombay
Stock Exchange), NSE (National Stock Exchange) and SEBI (Securities and Exchange Board
of India).

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