Open Access
Issue
SHS Web of Conf.
Volume 92, 2021
The 20th International Scientific Conference Globalization and its Socio-Economic Consequences 2020
Article Number 02061
Number of page(s) 7
Section Behavioral Economics and Decision-Making
DOI https://doi.org/10.1051/shsconf/20219202061
Published online 13 January 2021
  1. Kovalova, E., Kramarova, K., Zabojnik, S. (2019). Detection of Earnings Manipulation Using Beneish M-Score Model. In K. S. Soliman (Eds.), Proceedings of the 34th International Business Information Management Association Conference (IBIMA), 10827–10832. Norristown : IBIMA. [Google Scholar]
  2. Kramarova, K., Kovalova, E., Michalkova, L. (2019). Artificial Pricing of Intragroup Transactions in Context of Earnings Management – Slovak Legal Framework. In K. S. Soliman (Eds.), Proceedings of the 34th International Business Information Management Association Conference (IBIMA), 13121–13133. Norristown : IBIMA. [Google Scholar]
  3. Poradova, M., Sielekova, A., Kollar, B. (2019). Theoretical Aspects of Earnings Management Models. In K. S. Soliman (Eds.), Proceedings of the 34th International Business Information Management Association Conference (IBIMA), 13110–13120. Norristown : IBIMA. [Google Scholar]
  4. Strakova, L., Adamko, P. (2019). Application of Earnings Management Models in the Slovak Republic. In K. S. Soliman (Eds.), Proceedings of the 34th International Business Information Management Association Conference (IBIMA), 13386–13398. Norristown : IBIMA. [Google Scholar]
  5. Mohanram, P.S. (2003). How to manage earnings management? Accounting World. [Google Scholar]
  6. Durana, P., Valaskova, K., Chlebikova, D., Krastev, V., Atanasova, I. (2020). Heads and Tails of Earnings Management: Quantitative Analysis in Emerging Countries. Risks, 8(2), 57. [CrossRef] [Google Scholar]
  7. Kliestik, T., Valaskova, K., Nica, E., Kovacova, M., Lazaroiu, G. (2020). Advanced methods of earnings management: Monotonic trends and change-points under spotlight in the Visegrad countries. Oeconomia Copernicana, 11(2), 371–400. [CrossRef] [Google Scholar]
  8. Strakova, L. (2020). Earnings management in global background. SHS Web of Conferences, 74, 01032. [CrossRef] [EDP Sciences] [Google Scholar]
  9. Svabova, L., Kramarova, K., Chutka, J., Strakova, L. (2020). Detecting earnings manipulation and fraudulent financial reporting in Slovakia. Oeconomia Copernicana, 11(3), 485–508. [CrossRef] [Google Scholar]
  10. Hsieh, S.-J., Su, Y., Chang, C.-C.A. (2020). The role of discretionary pension accruals in earnings management. Journal of Applied Accounting Research, ahead-of-print (ahead-of-print). [Google Scholar]
  11. Lebert, S., Mohrmann, U., Stefani, U. (2020). Rounding up performance measures in German firms: Earnings cosmetics or earnings management on a larger scale? Journal of Business Finance & Accounting, 1–23. [Google Scholar]
  12. Li, X., Lin, Z., Luo, J. (2020). Does auditor-client distance matter to real earnings management? Evidence from China. Asia-Pacific Journal of Accounting & Economics, 27(5), 531–557. [CrossRef] [Google Scholar]
  13. Tran, T.Q., Ly, A.H., Nguyen, D.K.N. (2020). Relationship between Ownership Structures and Earnings Management Behavior in Vietnamese Commercial Banks. The Journal of Asian Finance, Economics, and Business, 7(9), 401–407. [CrossRef] [Google Scholar]
  14. Guggenmos, R D., Stede, W.A.V. der. (2020). The Effects of Creative Culture on Real Earnings Management. Contemporary Accounting Research. [Google Scholar]
  15. Abdou, H.A., Ellelly, N.N., Elamer, A.A., Hussainey, K., Yazdifar, H. (2020). Corporate governance and earnings management nexus: Evidence from the UK and Egypt using neural networks. International Journal of Finance & Economics, forthcoming article. [Google Scholar]
  16. Kramarova, K., Valaskova, K. (2020). Application of cohosen fraudulent detection technique in the Slovak business environment. SHS Web of Conferences, 74, 01019. [Google Scholar]
  17. Michalkova, L., Frajtova Michalikova, K. (2020). Is the Value of the New Business Tax Shield Lower? Comparative Study of International Valuation Methods. SHS Web of Conferences, 74, 01022. [CrossRef] [EDP Sciences] [Google Scholar]
  18. Siekelova, A., Podhorska, I. (2020). Earnings Indicators under the Condition of Globalization. SHS Web of Conferences, 74, 01031. [Google Scholar]
  19. Svabova, L., Valaskova, K., Durana, P., Kliestik, T. (2020). Dependency analysis between various profit measures and corporate total assets for Visegrad group’s business entities. Organizacija, 53(1), 80–90. [CrossRef] [Google Scholar]
  20. Valaskova, K., Durana, P. (2020). Global context of disparities in earnings management among enterprises: Evidence from Slovakia. SHS Web of Conferences, 74, 01034. [CrossRef] [EDP Sciences] [Google Scholar]
  21. Beneish, M.D. (1999). The detection of earnings manipulation. Financial Analysts Journal, 55(5), 24–36. [CrossRef] [Google Scholar]
  22. Svabova, L., Kramarova, K. (n.d.). Application of counterfactual approach in the evaluation of earnings management in the company. forthcoming article. [Google Scholar]
  23. Halilbegovic, S., Celebic, N., Cero, E., Buljubasic, E., Mekic, A. (2020). Application of Beneish M-score model on small and medium enterprises in Federation of Bosnia and Herzegovina. Eastern Journal of European Studies, 11(1), 146–163. [Google Scholar]
  24. Ozcan, A. (2018). The use of Beneish model in forensic accounting: Evidence from Turkey. Journal of Applied Economics and Business Research, 8(1), 57–67. [Google Scholar]
  25. Giunta, F., Bini, L., Dainelli, F. (2014). Verifica della base informativa per l’analisi di bilancio: Le azioni di manipolazione contabile. Controllo di Gestione, 2, 5–17. [Google Scholar]

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