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Stock Price Prediction Using DCF and Machine Learning

Anish Santosh, Dinesh Iyer, Mahalaxmi Aher, Dharti Mistry, Bhagyashree Dhakulkar

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.

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References


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