Title:	An Effect of Financial Indicators on Share Price of largest US companies
Authors:	Pešík, Jiří Taušl Procházková, Petra
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
Issue Date:	2022
Publisher:	Palacký University Olomouc
Document type:	konferenční příspěvek ConferenceObject
URI:	http://hdl.handle.net/11025/50752
ISBN:	978-80-244-6232-5
Keywords in different language:	fundamental analysis;machine learning;share price
Abstract in different language:	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.
Rights:	© Palacký University Olomouc
Appears in Collections:	Konferenční příspěvky / Conference papers (KPM) OBD

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