An Effect of Financial Indicators on Share Price of largest US companies

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23510%2F22%3A43966368" target="_blank" >RIV/49777513:23510/22:43966368 - isvavai.cz</a>
Result on the web
<a href="https://kems.upol.cz/fileadmin/userdata/FF/katedry/kae/knowcon/proceedings/Knowcon2022.pdf" target="_blank" >https://kems.upol.cz/fileadmin/userdata/FF/katedry/kae/knowcon/proceedings/Knowcon2022.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
An Effect of Financial Indicators on Share Price of largest US companies
Original language description
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 tocontribute 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 theNational Association of Securities Dealers Automated Quotations (NASDAQ) and determines how significantlythe financial indicators influence the price of the share, using a panel regression model as the main statisticalapproach. In the second part of the paper, a machine learning approach is used to cluster shares into groupsusing the financial indicators and is studied how much the structure of the clusters matches the sectoral structureof the companies and how miscellaneous are the companies from a financial perspective.
Czech name
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Czech description
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Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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