Publications

by members of

Budapesti Corvinus Egyetem → Adatelemzés és Informatika Intézet → Statisztika Tanszék

Corvinus University of Budapest → Institute of Data Analytics and Information Systems → Department of Statistics

These are publications listed in RePEc written by members of the above institution who are registered with the RePEc Author Service. Thus this compiles the works all those currently affiliated with this institution, not those affilated at the time of publication. List of registered members. Register yourself. Citation analysis. This page is updated in the first days of each month.

---

| Working papers | Journal articles |

Working papers

2024

1. Fons-Rosen, Christian & Manchin, Miriam & Szemeredi, Katalin, 2024, "Trust, Business Group Decentralization, and Firm Productivity," CEPR Discussion Papers, Centre for Economic Policy Research, number 19417, Aug.

2023

1. Diego Battiston & Jordi Blanes i Vidal & Tom Kirchmaier & Katalin Szemeredi, 2023, "Peer pressure and manager pressure in organisations," CEP Discussion Papers, Centre for Economic Performance, LSE, number dp1924, Jun.
   
   • Battiston, Diego Ezequiel & Blanes I Vidal, Jordi & Kirchmaier, Tom & Szemeredi, Katalin, 2023, "Peer pressure and manager pressure in organisations," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 121319, Jun.

2016

1. Christian Fons-Rosen & Vincenzo Scrutinio & Katalin Szemeredi, 2016, "Colocation and knowledge diffusion: evidence from million dollar plants," CEP Discussion Papers, Centre for Economic Performance, LSE, number dp1447, Aug.
   
   • Fons-Rosen, Christian & Scrutinio, Vincenzo & Szemeredi, Katalin, 2016, "Colocation and knowledge diffusion: evidence from million dollar plants," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 67683, Aug.

---

Journal articles

2019

1. Nyitrai, Tamás & Virág, Miklós, 2019, "The effects of handling outliers on the performance of bankruptcy prediction models," Socio-Economic Planning Sciences, Elsevier, volume 67, issue C, pages 34-42, DOI: 10.1016/j.seps.2018.08.004.

2017

1. Virág, Miklós & Nyitrai, Tamás, 2017, "Magyar vállalkozások felszámolásának előrejelzése pénzügyi mutatóik idősorai alapján
   [Predicting the liquidation of Hungarian firms using a time series of their financial ratios]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), volume 0, issue 3, pages 305-324, DOI: 10.18414/KSZ.2017.3.305.

2014

1. Miklós Virág & Tamás Nyitrai, 2014, "Is there a trade-off between the predictive power and the interpretability of bankruptcy models? The case of the first Hungarian bankruptcy prediction model," Acta Oeconomica, Akadémiai Kiadó, Hungary, volume 64, issue 4, pages 419-440, December.
2. Nyitrai, Tamás, 2014, "Növelhető-e a csőd-előrejelző modellek előre jelző képessége az új klasszifikációs módszerek nélkül?
   [Can the predictive capacity of bankruptcy forecasting models be increased without new classification methods?]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), volume 0, issue 5, pages 566-585.
3. Miklós Virág & Tamás Nyitrai, 2014, "The application of ensemble methods in forecasting bankruptcy," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), volume 13, issue 4, pages 178-193.

2013

1. Miklós Virag & Tamás Nyitrai, 2013, "Application of support vector machines on the basis of the first Hungarian bankruptcy model," Society and Economy, Akadémiai Kiadó, Hungary, volume 35, issue 2, pages 227-248, August.

---