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2018 | OriginalPaper | Buchkapitel

Mutual Fund Performance Analysis Using Nature Inspired Optimization Techniques: A Critical Review

verfasst von : Zeenat Afroz, Smruti Rekha Das, Debahuti Mishra, Srikanta Patnaik

Erschienen in: Advances in Intelligent Systems and Interactive Applications

Verlag: Springer International Publishing

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Abstract

Successful prediction of mutual fund with maximum accuracy is a great challenge because of highly fluctuating behaviour of the financial market. The prediction of Net Asset Value (NAV) of mutual fund helps investors to wisely plunge money into profitable mutual funds. This survey covers more than 40 related published articles in the field of mutual fund and gone through a systematic review of the various nature inspired techniques, used for NAV prediction with its performance analysis. The performance of mutual fund is highly correlated with the stock market, hence some of the stock market prediction analysis is also well throughout. Through this survey it is found that very few works is done in the field of NAV prediction using optimization techniques while for performance analysis of mutual fund many nature inspired optimization (NIO) techniques have been employed. On the whole, this paper gives a comprehensive review of the literature in the field of mutual fund.

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Titel: Mutual Fund Performance Analysis Using Nature Inspired Optimization Techniques: A Critical Review
verfasst von: Zeenat Afroz
Smruti Rekha Das
Debahuti Mishra
Srikanta Patnaik
Verlag: Springer International Publishing
Buch: Advances in Intelligent Systems and Interactive Applications
Print ISBN: 978-3-319-69095-7

Electronic ISBN: 978-3-319-69096-4

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-69096-4_104

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