Refine your search
Collections
Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Iyer, Dinesh
- Stock Price Prediction Using DCF and Machine Learning
Abstract Views :177 |
PDF Views:1
Authors
Affiliations
1 Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Savitribai Phule Pune University, Pune, Maharashtra, IN
1 Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Savitribai Phule Pune University, Pune, Maharashtra, IN
Source
Data Mining and Knowledge Engineering, Vol 12, No 5 (2020), Pagination: 85-90Abstract
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.