| 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 |