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

Author

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  • Nikola MILOSEVIC

    (School of Computer Science, University of Manchester, UK.)

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.

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Handle: RePEc:cvv:journ5:v:3:y:2016:i:2:p:288-294
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JEL classification:

  • H54 - Public Economics - - National Government Expenditures and Related Policies - - - Infrastructures
  • D92 - Microeconomics - - Micro-Based Behavioral Economics - - - Intertemporal Firm Choice, Investment, Capacity, and Financing
  • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)

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