HAMPL, Filip, Elena LÁNCOŠOVÁ and Zuzana RAKOVSKÁ. Searchability and Machine-Readability of the Financial Statements of the Czech Business Corporations and Their Influence on the Financial Performance. In Nešleha, Marek, Svoboda, Rakovská. Proceedings of the 16th International Scientific Conference European Financial Systems 2019. Brno, Czech Republic: Masaryk University Press, 2019, p. 155-162. ISBN 978-80-210-9338-6.
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Basic information
Original name Searchability and Machine-Readability of the Financial Statements of the Czech Business Corporations and Their Influence on the Financial Performance
Authors HAMPL, Filip (203 Czech Republic, guarantor, belonging to the institution), Elena LÁNCOŠOVÁ (203 Czech Republic, belonging to the institution) and Zuzana RAKOVSKÁ (703 Slovakia, belonging to the institution).
Edition Brno, Czech Republic, Proceedings of the 16th International Scientific Conference European Financial Systems 2019, p. 155-162, 8 pp. 2019.
Publisher Masaryk University Press
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 50206 Finance
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
WWW URL
RIV identification code RIV/00216224:14560/19:00111004
Organization unit Faculty of Economics and Administration
ISBN 978-80-210-9338-6
UT WoS 000503222600018
Keywords in English financial analysis indicators; financial performance; financial statements; logistic regression; machine-readability; non-searchability; searchability
Tags International impact, Reviewed
Changed by Changed by: Mgr. Pavel Sedláček, učo 23217. Changed: 11/5/2020 14:12.
Abstract
Financial and non-financial data presented in the financial statements and annual reports represent a valuable information source capturing economic activities in business corporations, accounting units. Machine-readable (or at least searchable) financial statements allow software equipment to find, to recognise and to extract easily data and valuable information about, e.g. ownership of risk-assets, cryptocurrencies or research and development activities. The paper aims to find out whether the Czech business corporations prepare their financial statements in the machine-readable/searchable format and whether the machine-readability/searchability is connected to their financial performance. The examined period was 2015-2017, and logistic regression was used. The data was obtained from the Czech Business Register by using a software script written by the authors and from the database of Czech and Slovak economic entities Bisnode Magnusweb. We discovered that most business corporations prepare non-searchable financial statements (no company prepares machine-readable statements). The ratio of searchable statements decreases each year. More companies change their statements from searchable to non-searchable than vice versa during the examined period. We found out that companies with non-searchable statements are more likely to have higher future long-term performance.
Links
MUNI/A/1029/2018, interní kód MUName: Účetní vykazování a daňové aspekty kryptoměn
Investor: Masaryk University, Category A
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