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Intrinsic Value Prediction of Companies of the Stock Market Using Fundamental Data

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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


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