Data Mining and Knowledge Engineering

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Stock Price Prediction Using DCF and Machine Learning


Affiliations
1 Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Savitribai Phule Pune University, Pune, Maharashtra, India
     

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Understanding the long-term outlook on a particular stock is very important for investors to see the growth of their investment. This paper will give the idea about how to predict the fair price of the shares using DCF method and understanding short term outlook of that investment. The various technologies used in the paper are free cash flow, the terminal value, net present value, ARIMA, Linear Regression. Traditional techniques lack in covering long term stock price movements and so new approaches have been developed for analysis of stock price variations.


Keywords

Stock Market, Prediction, Data Mining, Multiple Regression, Polynomial Regression, Linear Regression, ARIMA, Etc.
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  • Stock Price Prediction Using DCF and Machine Learning

Abstract Views: 207  |  PDF Views: 1

Authors

Anish Santosh
Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Savitribai Phule Pune University, Pune, Maharashtra, India
Dinesh Iyer
Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Savitribai Phule Pune University, Pune, Maharashtra, India
Mahalaxmi Aher
Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Savitribai Phule Pune University, Pune, Maharashtra, India
Dharti Mistry
Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Savitribai Phule Pune University, Pune, Maharashtra, India
Bhagyashree Dhakulkar
Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Savitribai Phule Pune University, Pune, Maharashtra, India

Abstract


Understanding the long-term outlook on a particular stock is very important for investors to see the growth of their investment. This paper will give the idea about how to predict the fair price of the shares using DCF method and understanding short term outlook of that investment. The various technologies used in the paper are free cash flow, the terminal value, net present value, ARIMA, Linear Regression. Traditional techniques lack in covering long term stock price movements and so new approaches have been developed for analysis of stock price variations.


Keywords


Stock Market, Prediction, Data Mining, Multiple Regression, Polynomial Regression, Linear Regression, ARIMA, Etc.