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Machine learning models for stock price prediction

  • University of Sharjah

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

In 1950, there was a well-known investment data which was most generally used informational sets in the entirety of the applied econometrics in the United States called 'Grunfeld investment data'. The full dataset points out errors and inconsistencies in several currently available versions. The main goal of this paper is to use Machine Learning and Statistical models to clean up data and to predict the stock price using the Grunfeld investment data.

Original languageEnglish
Title of host publication2020 7th International Conference on Information Technology Trends, ITT 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages67-71
Number of pages5
ISBN (Electronic)9781728183787
DOIs
StatePublished - 25 Nov 2020
Event7th International Conference on Information Technology Trends, ITT 2020 - Virtual, Abu Dhabi, United Arab Emirates
Duration: 25 Nov 202026 Nov 2020

Publication series

Name2020 7th International Conference on Information Technology Trends, ITT 2020

Conference

Conference7th International Conference on Information Technology Trends, ITT 2020
Country/TerritoryUnited Arab Emirates
CityVirtual, Abu Dhabi
Period25/11/2026/11/20

Keywords

  • Grunfeld investment data
  • Machine learning
  • Regression

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