Mário Papík
(Mario Papik)
Personal Details
First Name: | Mario |
Middle Name: | |
Last Name: | Papik |
Suffix: | |
RePEc Short-ID: | ppa1432 |
[This author has chosen not to make the email address public] | |
Affiliation
Fakulta Managementu
Univerzita Komenského
Bratislava, Slovakiahttp://www.fm.uniba.sk/
RePEc:edi:fmkomsk (more details at EDIRC)
Research output
Jump to: Articles ChaptersArticles
- Papík, Mário & Papíková, Lenka, 2022. "Detecting accounting fraud in companies reporting under US GAAP through data mining," International Journal of Accounting Information Systems, Elsevier, vol. 45(C).
- Mario Papik & Lenka Papikova, 2021. "Application of selected data mining techniques in unintentional accounting error detection," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 16(1), pages 185-201, March.
- Mario Papik, 2017. "Composition Of Equity And Mixed Pension Funds In Slovakia," Oeconomia Copernicana, Institute of Economic Research, vol. 8(1), pages 51-64, March.
Chapters
- Mário Papík, 2021. "Structure of Bond Pension Funds During Decreasing Yield Curves," Springer Proceedings in Business and Economics, in: Nicholas Tsounis & Aspasia Vlachvei (ed.), Advances in Longitudinal Data Methods in Applied Economic Research, pages 95-107, Springer.
- Mário Papík & Lenka Chorvatovičová, 2018. "Asset Structure of Commercial Banks and Its Impact on Profit Levels," Springer Proceedings in Business and Economics, in: Nicholas Tsounis & Aspasia Vlachvei (ed.), Advances in Time Series Data Methods in Applied Economic Research, chapter 0, pages 15-24, Springer.
Citations
Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.Articles
- Papík, Mário & Papíková, Lenka, 2022.
"Detecting accounting fraud in companies reporting under US GAAP through data mining,"
International Journal of Accounting Information Systems, Elsevier, vol. 45(C).
Cited by:
- Ludivia Hernandez Aros & Luisa Ximena Bustamante Molano & Fernando Gutierrez-Portela & John Johver Moreno Hernandez & Mario Samuel Rodríguez Barrero, 2024. "Financial fraud detection through the application of machine learning techniques: a literature review," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-22, December.
- Mario Papik & Lenka Papikova, 2021.
"Application of selected data mining techniques in unintentional accounting error detection,"
Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 16(1), pages 185-201, March.
Cited by:
- Katarina Valaskova & Peter Adamko & Katarina Frajtova Michalikova & Jaroslav Macek, 2021. "Quo Vadis, earnings management? Analysis of manipulation determinants in Central European environment," Oeconomia Copernicana, Institute of Economic Research, vol. 12(3), pages 631-669, September.
- Pavol Durana & Roman Blazek & Veronika Machova & Miroslav Krasnan, 2022. "The use of Beneish M-scores to reveal creative accounting: evidence from Slovakia," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 17(2), pages 481-510, June.
Chapters
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Corrections
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