Journal of Information Systems Engineering and Management

Integrated Mobile Application Based on Machine Learning for East Africa Stock Market
Alban Manishimwe 1 * , Happyness Alexander 1, Hillary Kaluuma 1, Mussa Ally Dida 1
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1 The Nelson Mandela African Institution of Science and Technology, TANZANIA
* Corresponding Author
Research Article

Journal of Information Systems Engineering and Management, 2021 - Volume 6 Issue 3, Article No: em0143
https://doi.org/10.21601/jisem/11008

Published Online: 23 Jun 2021

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How to cite this article
APA 6th edition
In-text citation: (Manishimwe et al., 2021)
Reference: Manishimwe, A., Alexander, H., Kaluuma, H., & Dida, M. A. (2021). Integrated Mobile Application Based on Machine Learning for East Africa Stock Market. Journal of Information Systems Engineering and Management, 6(3), em0143. https://doi.org/10.21601/jisem/11008
Vancouver
In-text citation: (1), (2), (3), etc.
Reference: Manishimwe A, Alexander H, Kaluuma H, Dida MA. Integrated Mobile Application Based on Machine Learning for East Africa Stock Market. J INFORM SYSTEMS ENG. 2021;6(3):em0143. https://doi.org/10.21601/jisem/11008
AMA 10th edition
In-text citation: (1), (2), (3), etc.
Reference: Manishimwe A, Alexander H, Kaluuma H, Dida MA. Integrated Mobile Application Based on Machine Learning for East Africa Stock Market. J INFORM SYSTEMS ENG. 2021;6(3), em0143. https://doi.org/10.21601/jisem/11008
Chicago
In-text citation: (Manishimwe et al., 2021)
Reference: Manishimwe, Alban, Happyness Alexander, Hillary Kaluuma, and Mussa Ally Dida. "Integrated Mobile Application Based on Machine Learning for East Africa Stock Market". Journal of Information Systems Engineering and Management 2021 6 no. 3 (2021): em0143. https://doi.org/10.21601/jisem/11008
Harvard
In-text citation: (Manishimwe et al., 2021)
Reference: Manishimwe, A., Alexander, H., Kaluuma, H., and Dida, M. A. (2021). Integrated Mobile Application Based on Machine Learning for East Africa Stock Market. Journal of Information Systems Engineering and Management, 6(3), em0143. https://doi.org/10.21601/jisem/11008
MLA
In-text citation: (Manishimwe et al., 2021)
Reference: Manishimwe, Alban et al. "Integrated Mobile Application Based on Machine Learning for East Africa Stock Market". Journal of Information Systems Engineering and Management, vol. 6, no. 3, 2021, em0143. https://doi.org/10.21601/jisem/11008
ABSTRACT
Regional Integration refers to the process of states coming together to sign agreements where they agree to cooperate in certain areas common to them. The East African Community (EAC) which was founded on November 30, 1999, identified three integration pillars; common Market protocol, customs union and political federation. In attempt to achieve the named pillars, financial markets have been identified as a key driver for common market and customs union. The challenge however is that the East African countries run the most expensive stocks on the African Continent and this has greatly influenced trade volumes and investor appetite. When these markets are integrated it allows collective bargaining thereby increasing their market share across the region other than a given country running its own exchange. This paper presents a software platform that will enable an investor to purchase and sell stocks irrespective of any location in the East African Region thus spur the development of stock market in terms of volume and competitiveness.
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LICENSE
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.