Deep Learning Applied to Public Company Valuation for Value Investing
| dc.contributor.author | Haich, Abram Paul | |
| dc.description.abstract | Value investing is an investing approach that seeks to discover and take advantage of price discrepancies between the market price and the actual value of a company (intrinsic value). The purpose of this work is to measure the intrinsic value of companies using an approach that has had success in the broad field of Artificial Intelligence, Deep Learning. Finding patterns in large amounts of data is what Deep Learning can be used for. Typically for value investing an investor will seek to find conservative estimates on the current value of a company by analyzing fundamental data. Our method attempts to perform these estimates in a data driven manor using Deep Learning to estimate the intrinsic value of a company with the overall goal of aiding the Investor in uncovering undervalued companies. | en_US |
| dc.publisher | North Dakota State University | en_US |
| dc.rights | NDSU policy 190.6.2 | en_US |
| dc.title | Deep Learning Applied to Public Company Valuation for Value Investing | en_US |
| dc.type | Thesis | en_US |
| dc.date.accessioned | 2022-06-02T19:09:52Z | |
| dc.date.available | 2022-06-02T19:09:52Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | https://hdl.handle.net/10365/32668 | |
| dc.subject | deep learning | en_US |
| dc.subject | discount cash flow | en_US |
| dc.subject | value investing | en_US |
| dc.rights.uri | https://www.ndsu.edu/fileadmin/policy/190.pdf | en_US |
| ndsu.degree | Master of Science (MS) | en_US |
| ndsu.college | Engineering | en_US |
| ndsu.department | Computer Science | en_US |
| ndsu.advisor | Li, Juan |