| dc.creator |
Manishimwe, Alban |
|
| dc.creator |
Alexander, Happyness |
|
| dc.creator |
Kaluuma, Hillary |
|
| dc.creator |
Dida, Musa |
|
| dc.date |
2021-08-04T11:14:13Z |
|
| dc.date |
2021-08-04T11:14:13Z |
|
| dc.date |
2021-06-23 |
|
| dc.date.accessioned |
2022-10-25T09:15:46Z |
|
| dc.date.available |
2022-10-25T09:15:46Z |
|
| dc.identifier |
https://doi.org/10.21601/jisem/11008 |
|
| dc.identifier |
http://dspace.nm-aist.ac.tz/handle/20.500.12479/1272 |
|
| dc.identifier.uri |
http://hdl.handle.net/123456789/94596 |
|
| dc.description |
This research article published by Veritas Publications LTD, 2021 |
|
| dc.description |
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. |
|
| dc.format |
application/pdf |
|
| dc.language |
en |
|
| dc.publisher |
Veritas Publications LTD |
|
| dc.subject |
Stock market |
|
| dc.subject |
Android |
|
| dc.title |
Integrated Mobile Application Based on Machine Learning for East Africa Stock Market |
|
| dc.type |
Article |
|