Full metadata record
| DC pole | Hodnota | Jazyk |
|---|---|---|
| dc.contributor.author | Pešík, Jiří | |
| dc.contributor.author | Taušl Procházková, Petra | |
| dc.date.accessioned | 2022-12-19T11:00:11Z | - |
| dc.date.available | 2022-12-19T11:00:11Z | - |
| dc.date.issued | 2022 | |
| dc.identifier.citation | PEŠÍK, J. TAUŠL PROCHÁZKOVÁ, P. An Effect of Financial Indicators on Share Price of largest US companies. In Knowledge on Economics and Management. Olomouc: Palacký University Olomouc, 2022. s. 123-129. ISBN: 978-80-244-6232-5 | cs |
| dc.identifier.isbn | 978-80-244-6232-5 | |
| dc.identifier.uri | http://hdl.handle.net/11025/50752 | |
| dc.format | 7 s. | cs |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | en |
| dc.publisher | Palacký University Olomouc | en |
| dc.relation.ispartofseries | Knowledge on Economics and Management | en |
| dc.rights | © Palacký University Olomouc | en |
| dc.title | An Effect of Financial Indicators on Share Price of largest US companies | en |
| dc.type | konferenční příspěvek | cs |
| dc.type | ConferenceObject | en |
| dc.rights.access | openAccess | en |
| dc.type.version | publishedVersion | en |
| dc.description.abstract-translated | There is fierce competition among various approaches for a share price determination, as technical, fundamental, and behavioural analyses try to explain the stock market phenomenon. This paper aims to contribute to the fundamental analysis and compare the importance of various financial indicators for investors. It uses financial data of one hundred largest companies from the New York Stock Exchange (NYSE) and the National Association of Securities Dealers Automated Quotations (NASDAQ) and determines how significantly the financial indicators influence the price of the share, using a panel regression model as the main statistical approach. In the second part of the paper, a machine learning approach is used to cluster shares into groups using the financial indicators and is studied how much the structure of the clusters matches the sectoral structure of the companies and how miscellaneous are the companies from a financial perspective. | en |
| dc.subject.translated | fundamental analysis | en |
| dc.subject.translated | machine learning | en |
| dc.subject.translated | share price | en |
| dc.type.status | Peer-reviewed | en |
| dc.identifier.obd | 43937368 | |
| dc.project.ID | SGS-2021-017/Inovativní a udržitelné přístupy a metody v podnikání, projektech a procesech | cs |
| Vyskytuje se v kolekcích: | Konferenční příspěvky / Conference papers (KPM) OBD | |
Soubory připojené k záznamu:
| Soubor | Velikost | Formát | |
|---|---|---|---|
| knowcon.pdf | 11,78 MB | Adobe PDF | Zobrazit/otevřít |
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