Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/139
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dc.contributor.authorSanthi, N. S-
dc.contributor.authorGurunathan, K. Balanaga-
dc.date.accessioned2022-04-21T06:40:44Z-
dc.date.available2022-04-21T06:40:44Z-
dc.date.issued2014-
dc.identifier.issn2409-2622-
dc.identifier.urihttp://192.168.20.106:8080/xmlui/handle/123456789/139-
dc.description.abstractTax Saving Mutual Fund Schemes were established with the objective of inviting Indian Tax assessees into the stock market-oriented investment. Tax saving mutual fund is an avenue which offers an investor the opportunity to avail tax exemption on investment along with diversified risk and market-related return. All Tax Saving Mutual Fund Schemes have same the objective but each scheme differs in returns produced and risks involved. The mutual fund performance is based on the performance of market and there is no assurance on return of mutual fund investments. As such, an analysis have been made in this paper to measure the performance of Indian Mutual funds market by using Fama French three factor model. In particular, 32 growth-oriented open-ended Tax Saving Mutual Fund Schemes have been taken for the study. The performance of the TSMF has been compared with the market benchmark S&P CNX Nifty. It is found that there is a difference between expected return and actual return of mutual funds. It is also found that there are certain mutual fund schemes have underperformed than the market benchmark. Not all the mutual fund schemes are safe and secured. It is the responsibility of the investors to find the better performing funds.en_US
dc.publisherAsian Journal of Economics and Empirical Research, Vol. 1, No. 1, 2014, Page No. 1-5en_US
dc.subjectMutual Fundsen_US
dc.subjectTax Savingen_US
dc.subjectGrowth Orienteden_US
dc.subjectOpen-Endeden_US
dc.subjectIndiaen_US
dc.subjectFama French Three Factor Modelen_US
dc.titleFama-French Three Factors Model in Indian Mutual Fund Marketen_US
dc.typeArticleen_US
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