dc.contributor.author |
Athaudage, Savini |
|
dc.date.accessioned |
2022-12-19T07:31:37Z |
|
dc.date.available |
2022-12-19T07:31:37Z |
|
dc.date.issued |
2022 |
|
dc.identifier.citation |
Athaudage, Savini (2022) Intrinsic Value Prediction of Companies of the Stock Market Using Fundamental Data. BEng. Dissertation, Informatics Institute of Technology |
en_US |
dc.identifier.issn |
2017804 |
|
dc.identifier.uri |
http://dlib.iit.ac.lk/xmlui/handle/123456789/1169 |
|
dc.description.abstract |
"It is a challenging task to invest in the stock market without losing capital. The success of the investment will depend on the ability to select a good company and the ability to predict the fair-value of the company. One has to do a lot of research and calculations to decide confidently, which company and at what price to invest. For that, one has to have a sound knowledge of the stock market and its current situation.
However, new investors and part-time investors will not have the required knowledge and time to achieve the above considerations. As a solution to solve the issue of finding a good company and determining at what price to enter in the Colombo Stock Market; this value prediction model is introduced.
This is a system which will use machine learning to predict the two fundamental factors P/E Ratio and Earning per Share to get the intrinsic value of a company that is suitable for stock market investment.
" |
en_US |
dc.language.iso |
en |
en_US |
dc.subject |
Stock Market Prediction |
en_US |
dc.subject |
Fundamental Analysis |
en_US |
dc.subject |
Machine Learning |
en_US |
dc.title |
Intrinsic Value Prediction of Companies of the Stock Market Using Fundamental Data |
en_US |
dc.type |
Thesis |
en_US |