Equity Forecast: Predicting Long Term Stock Price Movement using Machine Learning

Nikola Milosevic ()
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Nikola Milosevic: School of Computer Science, University of Manchester, UK.

Journal of Economics Library, 2016, vol. 3, issue 2, 288-294

Abstract: Long term investment is one of the major investment strategies. However, calculating intrinsic value of some company and evaluating shares for long term investment is not easy, since analyst have to care about a large number of financial indicators and evaluate them in a right manner. So far, little help in predicting the direction of the company value over the longer period of time has been provided from the machines. In this paper we present a machine learning aided approach to evaluate the equity’s future price over the long time. Our method is able to correctly predict whether some company’s value will be 10% higher or not over the period of one year in 76.5% of cases.

Keywords: Machine learning; Long term investment; Equity; Stock price prediction. (search for similar items in EconPapers)
JEL-codes: D92 E20 H54 (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:ksp:journ5:v:3:y:2016:i:2:p:288-294

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