Searchability and Machine-Readability of the Financial Statements of the Czech Business Corporations and Their Influence on the Financial Performance



Year of publication 2019
Type Article in Proceedings
Conference Proceedings of the 16th International Scientific Conference European Financial Systems 2019
MU Faculty or unit

Faculty of Economics and Administration

Keywords financial analysis indicators; financial performance; financial statements; logistic regression; machine-readability; non-searchability; searchability
Description 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.
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