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Martin Vojtek

Personal Details

First Name:Martin
Middle Name:
Last Name:Vojtek
Suffix:
RePEc Short-ID:pvo33
Terminal Degree:2009 Center for Economic Research and Graduate Education and Economics Institute (CERGE-EI) (from RePEc Genealogy)

Affiliation

(90%) Česká Národní Banka

Praha, Czech Republic
http://www.cnb.cz/

: 00420 2 2442 1111
00420 2 2421 8522
Na Prikope 28, 115 03 Prague 1
RePEc:edi:cnbgvcz (more details at EDIRC)

(10%) Center for Economic Research and Graduate Education and Economics Institute (CERGE-EI)

Praha, Czech Republic
http://www.cerge-ei.cz/

: (+420) 224 005 123
(+420) 224 005 333
P.O. Box 882, Politickych veznu 7, 111 21 Praha 1
RePEc:edi:eiacacz (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Konstantin Belyaev & Aelita Belyaeva & Tomas Konecny & Jakub Seidler & Martin Vojtek, 2012. "Macroeconomic Factors as Drivers of LGD Prediction: Empirical Evidence from the Czech Republic," Working Papers 2012/12, Czech National Bank, Research Department.
  2. Evžen Kocenda & Martin Vojtek, 2009. "Default Predictors and Credit Scoring Models for Retail Banking," CESifo Working Paper Series 2862, CESifo Group Munich.
  3. Martin Vojtek, 2004. "Calibration of Interest Rate Models - Transition Market Case," CERGE-EI Working Papers wp237, The Center for Economic Research and Graduate Education - Economics Institute, Prague.

Articles

  1. Evžen Kocenda & Martin Vojtek, 2011. "Default Predictors in Retail Credit Scoring: Evidence from Czech Banking Data," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 47(6), pages 80-98, November.
  2. Eugen Kovac & Martin Vojtek & Andreas Ortmann, 2008. "Comparing Guessing Games with homogeneous and heterogeneous players: Experimental results and a CH explanation," Economics Bulletin, AccessEcon, vol. 3(9), pages 1-9.
  3. Martin Vojtek & Evžen Koèenda, 2006. "Credit-Scoring Methods (in English)," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 56(3-4), pages 152-167, March.

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.

Working papers

  1. Konstantin Belyaev & Aelita Belyaeva & Tomas Konecny & Jakub Seidler & Martin Vojtek, 2012. "Macroeconomic Factors as Drivers of LGD Prediction: Empirical Evidence from the Czech Republic," Working Papers 2012/12, Czech National Bank, Research Department.

    Cited by:

    1. Jiri Witzany, 2013. "Estimating Default and Recovery Rate Correlations," Working Papers IES 2013/03, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Apr 2013.

  2. Evžen Kocenda & Martin Vojtek, 2009. "Default Predictors and Credit Scoring Models for Retail Banking," CESifo Working Paper Series 2862, CESifo Group Munich.

    Cited by:

    1. Ju, Yong Han & Sohn, So Young, 2014. "Updating a credit-scoring model based on new attributes without realization of actual data," European Journal of Operational Research, Elsevier, vol. 234(1), pages 119-126.
    2. Natalia Nehrebecka, 2016. "Approach to the assessment of credit risk for non-financial corporations. Evidence from Poland," IFC Bulletins chapters,in: Bank for International Settlements (ed.), Combining micro and macro data for financial stability analysis, volume 41 Bank for International Settlements.
    3. Ha-Thu Nguyen, 2015. "How is credit scoring used to predict default in China?," EconomiX Working Papers 2015-1, University of Paris Nanterre, EconomiX.
    4. Martin Rezac & Frantisek Rezac, 2011. "How to Measure the Quality of Credit Scoring Models," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 61(5), pages 486-507, November.
    5. NUCU, Anca Elena, 2011. "Managementul riscului de creditare: realizari actuale, analiza critica, sugestii
      [Credit risk management: current achievements, critical analysis, suggestions]
      ," MPRA Paper 27932, University Library of Munich, Germany.
    6. Sanela Pasic & Adisa Omerbegovic Arapovic, 2016. "What Triggers Loan Repayment Failure of Consumer Loans Evidence from Bosnia and Herzegovina," Eurasian Journal of Business and Management, Eurasian Publications, vol. 4(1), pages 11-22.
    7. Jarko Fidrmuc & Christa Hainz, 2009. "Default Rates in the Loan Market for SMEs: Evidence from Slovakia," ifo Working Paper Series 72, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    8. Yaseen Ghulam & Sophie Hill, 2017. "Distinguishing between Good and Bad Subprime Auto Loans Borrowers: The Role of Demographic, Region and Loan Characteristics," Review of Economics & Finance, Better Advances Press, Canada, vol. 10, pages 49-62, November.
    9. Ha-Thu Nguyen, 2016. "Reject inference in application scorecards: evidence from France," EconomiX Working Papers 2016-10, University of Paris Nanterre, EconomiX.
    10. Gabriela Kuvikova, 2015. "Does Loan Maturity Matter in Risk-Based Pricing? Evidence from Consumer Loan Data," CERGE-EI Working Papers wp538, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    11. Hela Ben hassine khalladi, 2017. "Financial crises management by the International Monetary Fund: Was external and public debt sustainable ?," Economics Bulletin, AccessEcon, vol. 37(1), pages 118-136.
    12. Dorfleitner, G. & Just-Marx, S. & Priberny, C., 2017. "What drives the repayment of agricultural micro loans? Evidence from Nicaragua," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 89-100.
    13. Gabriela Kuvikova, 2015. "Loans for Better Living: The Role of Informal Collateral," CERGE-EI Working Papers wp541, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    14. Ha-Thu Nguyen, 2014. "Default Predictors in Credit Scoring - Evidence from France’s Retail Banking Institution," EconomiX Working Papers 2014-26, University of Paris Nanterre, EconomiX.
    15. Timotej Jagric & Vita Jagric & Davorin Kracun, 2011. "Does Non-linearity Matter in Retail Credit Risk Modeling?," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 61(4), pages 384-402, August.
    16. Selcuk Bayraci, 2017. "Application of profit-based credit scoring models using R," Romanian Statistical Review, Romanian Statistical Review, vol. 65(4), pages 3-28, December.
    17. Konstantin Belyaev & Aelita Belyaeva & Tomas Konecny & Jakub Seidler & Martin Vojtek, 2012. "Macroeconomic Factors as Drivers of LGD Prediction: Empirical Evidence from the Czech Republic," Working Papers 2012/12, Czech National Bank, Research Department.
    18. Enrique Marshall, 2015. "Reflexiones sobre la Práctica del Ahorro en Chile," Economic Policy Papers Central Bank of Chile 54, Central Bank of Chile.

  3. Martin Vojtek, 2004. "Calibration of Interest Rate Models - Transition Market Case," CERGE-EI Working Papers wp237, The Center for Economic Research and Graduate Education - Economics Institute, Prague.

    Cited by:

    1. Płuciennik Piotr, 2012. "Influence of the American Financial Market on Other Markets During the Subprime Crisis," Folia Oeconomica Stetinensia, Sciendo, vol. 12(2), pages 19-30, December.
    2. Jiří Witzany, 2009. "Valuation of Convexity Related Interest Rate Derivatives," Prague Economic Papers, University of Economics, Prague, vol. 2009(4), pages 309-326.
    3. Dana Cíchová Králová, 2015. "Využití modelu BGM při řízení úrokového rizika v českém prostředí v období po finanční krizi
      [Aplication of the BGM Model for Interest Rate Risk Management in the Czech Environment after Financial
      ," Politická ekonomie, University of Economics, Prague, vol. 2015(6), pages 714-758.

Articles

  1. Evžen Kocenda & Martin Vojtek, 2011. "Default Predictors in Retail Credit Scoring: Evidence from Czech Banking Data," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 47(6), pages 80-98, November.
    See citations under working paper version above.
  2. Eugen Kovac & Martin Vojtek & Andreas Ortmann, 2008. "Comparing Guessing Games with homogeneous and heterogeneous players: Experimental results and a CH explanation," Economics Bulletin, AccessEcon, vol. 3(9), pages 1-9.

    Cited by:

    1. Martin G. Kocher & Matthias Sutter & Florian Wakolbinger, 2007. "The impact of naive advice and observational learning in beauty-contest games," Working Papers 2007-01, Faculty of Economics and Statistics, University of Innsbruck.
    2. Shu-Heng Chen & Ye-Rong Du & Lee-Xieng Yang, 2014. "Cognitive capacity and cognitive hierarchy: a study based on beauty contest experiments," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 9(1), pages 69-105, April.

  3. Martin Vojtek & Evžen Koèenda, 2006. "Credit-Scoring Methods (in English)," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 56(3-4), pages 152-167, March.

    Cited by:

    1. Jan Bruha & Evžen Kocenda, 2017. "Financial Stability in Europe: Banking and Sovereign Risk," CESifo Working Paper Series 6453, CESifo Group Munich.
    2. Martin Rezac & Frantisek Rezac, 2011. "How to Measure the Quality of Credit Scoring Models," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 61(5), pages 486-507, November.
    3. Jarko Fidrmuc & Christa Hainz, 2009. "Default Rates in the Loan Market for SMEs: Evidence from Slovakia," ifo Working Paper Series 72, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    4. Enrique Marshall, 2015. "Reflexiones sobre la Práctica del Ahorro en Chile," Economic Policy Papers Central Bank of Chile 54, Central Bank of Chile.

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