Analysis of the Notes to the Financial Statement Related to Balance Sheet in Case of Hungarian Information-Technology Service Companies
Fenyves Veronika (),
Böcskei Elvira (),
Bács Zoltán (),
Zéman Zoltán () and
Tarnóczi Tibor ()
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Fenyves Veronika: Institute of Accounting and Finance, Faculty of Economics and Business, University of Debrecen, Hungary
Böcskei Elvira: Department of Finance, Faculty of Economic and Social Sciences, Budapest University of Technology and Economics, Hungary
Bács Zoltán: Institute of Accounting and Finance, Faculty of Economics and Business, University of Debrecen, Hungary
Zéman Zoltán: Faculty of Economics and Social Sciences, Szent István University, Hungary
Tarnóczi Tibor: Institute of Accounting and Finance, Faculty of Economics and Business, University of Debrecen, Hungary
Scientific Annals of Economics and Business, 2019, vol. 66, issue 1, 27-39
Abstract:
The main aim of the study to examine the extent to which the companies of a specific Hungarian sector fulfil their obligation to provide information in their notes to the financial statements as stipulated by the Accounting Act. Accordingly, it should be examined whether the notes to financial statements contains the required data regarding the balance sheets of companies investigated. For the analyses, it was used the notes to the financial statement of 8,226 companies with Hungarian headquarters, which are regulated by the Hungarian Accounting Act and which have information-technology services as the main business activity. It was investigated 95.78% of the financial reports containing the notes. The analysis was performed using text mining method, utilizing every available notes to the financial statement of the sector. Findings of the study reveal that the amount of published information shows greater and lesser differences and in many cases, the quantity of published data does not fulfil even the minimal obligations stipulated legally.
Keywords: notes to the financial statements; balance sheet related items; equity and liability related items; text mining (search for similar items in EconPapers)
JEL-codes: C18 M41 (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:aicuec:v:66:y:2019:i:1:p:27-39:n:1
DOI: 10.2478/saeb-2019-0001
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