Systematic Investment Plan Date Prediction
Abhishek Bhatt1, Romil Gopani2, Lukash Chaddwa3, Gajanan Bherde4
1Abhishek Bhatt, Student, Department of Computer Engineering, K. J. Somaiya College of Engineering, Mumbai (Maharashtra), India.
2Romil Gopani, Student, Department of Computer Engineering, K. J. Somaiya College of Engineering, Mumbai (Maharashtra), India.
3Lukash Chhadwa, Student, Department of Computer Engineering, K.J. Somaiya College of Engineering, Mumbai (Maharashtra), India.
4Gajanan Bherde, Professor, Department of Computer Engineering, K. J. Somaiya College of Engineering, Mumbai (Maharashtra), India.
Manuscript received on April 23, 2017. | Revised Manuscript received on April 29, 2017. | Manuscript published on March 05, 2017. | PP:25-27 | Volume-7 Issue-2, May 2017. | Retrieval Number: B2989057217/2017©BEIESP
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©The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/
Abstract: Neural networks have been used on variety of prediction problems in field of finance. Mutual funds in particular SIP (Systematic Investment Plan) have been very lucrative form of high gain investment in recent years [A3]. In the paper, we have proposed a way to maximize investors return by providing an insight on possible values of NAV thought the month in the beginning of the month so they can buy units at Low rates. We have used artificial neural network (ANN) along with resilient propagation algorithm for prediction. We want to create a system which will help an investor to gain more profit compared to another investor investing in the same SIP. The proposed system will notify the user the date on which investment to be made to maximize profit. Results of our experiment have been attached which shows good performance on HDFC TOP 200 fund (G).
Keywords: Systematic Investment Plan, Mutual Fund, Artificial Neural Net.