SURVEY ON INVESTOR’S PERCEPTION IN MUTUAL FUND USING DATA MINING TECHNIQUES
Author(s):
DHANALAKSHMI, MURUGESAN
Keywords:
Data mining, Classification algorithm, Clustering algorithm, Mutual fund.
Abstract
A mutual fund is a kind of economic vehicle made up of a pool of money collected from many investors to capitalize in safeties such as stocks, bonds, money market instruments and other assets. Today there are many mutual fund schemes having investor’s reviews and discussion about a good return rate. This paper provides the statistical data analysis through the investor’s perception of mutual funds understanding about growth and the risk return of the investors. As the number of investor’s high return index value, the number of reviews about the mutual fund scheme grows rapidly. This large amount of investor’s return value has to be collected from the website, magazine and investors and it needs to be explored, analyzed, and prepared for select the better scheme on mutual fund. Hence, classification schemes provide the quick information about which funds are worth and show an application of clustering methods to the mutual funds historical data. This paper concentrations on the mutual fund data analytics and high return cost from mutual fund scheme.
Article Details
Unique Paper ID: 152531

Publication Volume & Issue: Volume 8, Issue 3

Page(s): 734 - 739
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