Mateusz Pipień
(Mateusz Pipien)

Personal Details

First Name:	Mateusz
Middle Name:
Last Name:	Pipien
Suffix:
RePEc Short-ID:	ppi193
	[This author has chosen not to make the email address public]
	http://www.cyf-kr.edu.pl/~eepipien
	Department of Empirical Analyses of Economic Stability, Cracow University of Economics, Rakowicka 27, 31-510 Kraków, Poland

Affiliation

Uniwersytet Ekonomiczny w Krakowie

Kraków, Poland
http://www.uek.krakow.pl/
RePEc:edi:aekrapl (more details at EDIRC)

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. Michał Greszta & Marcin Humanicki & Mariusz Kapuściński & Tomasz Kleszcz & Andrzej Kocięcki & Jacek Kotłowski & Michał Ledóchowski & Michał Łesyk & Tomasz Łyziak & Mateusz Pipień & Piotr Popowski & Ew, 2023. "Monetary policy transmission mechanism in Poland What do we know in 2023?," NBP Working Papers 365, Narodowy Bank Polski.

   Cited by:

   1. Szafranek, Karol & Szafrański, Grzegorz & Leszczyńska-Paczesna, Agnieszka, 2024. "Inflation returns. Revisiting the role of external and domestic shocks with Bayesian structural VAR," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 789-810.
      • Karol Szafranek & Grzegorz Szafrański & Agnieszka Leszczyńska-Paczesna, 2023. "Inflation returns. Revisiting the role of external and domestic shocks with Bayesian structural VAR," NBP Working Papers 357, Narodowy Bank Polski.

2. Mateusz Pipieñ & Sylwia Roszkowska, 2017. "The Heterogeneity of Convergence in Transition Countries," Lodz Economics Working Papers 7/2017, University of Lodz, Faculty of Economics and Sociology.
   • Mateusz Pipień & Sylwia Roszkowska, 2019. "The heterogeneity of convergence in transition countries," Post-Communist Economies, Taylor & Francis Journals, vol. 31(1), pages 75-105, January.

   Cited by:

   1. Dzenita Siljak & Sandor Gyula Nagy, 2021. "The Effects of the Crisis on Convergence between the Eastern Partnership and EU-15 States," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 7, pages 3-18.
   2. Piotr Adamczyk & Mateusz Pipień, 2022. "On the Role of Portfolio Indicators of the Capital Flows in the Convergence Processes – An Application of Systems of Regression Equations in the Case of Selected CEE Countries," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 14(3), pages 303-333, September.
   3. Josip Tica & Viktor Viljevac & Matija Matiæ, 2023. "Employment rate and economic growth:The case of transition countries," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 41(1), pages 9-39.
   4. Siljak Dzenita & Nagy Sándor Gyula, 2019. "Do Transition Countries Converge towards the European Union?," TalTech Journal of European Studies, Sciendo, vol. 9(1), pages 115-139, June.
   5. Ádám Kerényi & Csaba Lakócai, 2024. "Trends, Transfers and Convergence, The impact of financial allocations to the Eastern member states of the European Union in the last two decades," IWE Working Papers 274, Institute for World Economics - Centre for Economic and Regional Studies.

3. Lukasz Lenart & Blazej Mazur & Mateusz Pipien, 2015. "Statistical analysis of business cycle fluctuations in Poland before and after the crisis," Working Papers 71/2015, Institute of Economic Research, revised Apr 2015.
   • Lukasz Lenart & Blazej Mazur & Mateusz Pipien, 2016. "Statistical Analysis Of Business Cycle Fluctuations In Poland Before And After The Crisis," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(4), pages 769-783, December.

   Cited by:

   1. Łukasz Lenart, 2018. "Bayesian inference for deterministic cycle with time-varying amplitude: the case of growth cycle in European countries," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 10(3), pages 233-262, September.
   2. Mariusz Zielinski, 2018. "Effect of the economic situation on employment and its structure in the Central and Eastern European countries," Ekonomia i Prawo, Uniwersytet Mikolaja Kopernika, vol. 17(3), pages 329-337, September.

4. Malgorzata Olszak & Mateusz Pipien & Iwona Kowalska & Sylwia Roszkowska, 2015. "The impact of capital on lending in publicly-traded and privately- held banks in the EU," Faculty of Management Working Paper Series 72015, University of Warsaw, Faculty of Management.

   Cited by:

   1. Iwegbu, Onyebuchi & Odior, Ernest S.O., 2019. "Macro-Prudential policy instruments, pro-cyclicality of capital and bank lending in Nigeria: From post-global financial crisis," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 8(3), pages 205-227.

5. Malgorzata Olszak & Mateusz Pipien & Iwona Kowalska & Sylwia Roszkowska, 2014. "What drives heterogeneity of procyclicality of loan loss provisions in the EU?," Faculty of Management Working Paper Series 32014, University of Warsaw, Faculty of Management.

   Cited by:

   1. Malgorzata Olszak & Mateusz Pipien & Sylwia Roszkowska, 2016. "The Impact Of Capital Ratio On Lending Of Eu Banks – The Role Of Bank Specialization And Capitalization," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(1), pages 43-59, March.
      • Malgorzata Olszak & Mateusz Pipien & Sylwia Roszkowska, 2015. "The impact of capital ratio on lending of EU banks – the role of bank specialization and capitalization," Working Papers 83/2015, Institute of Economic Research, revised Apr 2015.
   2. Malgorzata Olszak, 2015. "The phenomenon of excessive procyclicality of the financial sector from the perspective of macroprudential policy – sources, methods of reduction and their basic limitations (Zjawisko nadmiernej procy," Problemy Zarzadzania, University of Warsaw, Faculty of Management, vol. 13(55), pages 72-96.
   3. Tito Tomas Siueia & Jianling Wang, 2017. "Loan Loss Provisions, Income Smooth, Signaling, Capital Management and Pro-Cyclicality: Empirical Evidence from Mozambique¡¯s Commercial Banks," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(11), pages 48-63, November.
   4. Malgorzata Olszak & Mateusz Pipien & Sylwia Roszkowska & Iwona Kowalska, 2014. "The effects of capital on bank lending in large EU banks – the role of procyclicality, income smoothing, regulations and supervision," Faculty of Management Working Paper Series 52014, University of Warsaw, Faculty of Management.
   5. Yang, Ling, 2016. "Is Bank Supervision Effective? Evidence from the Allowance for Loan and Lease Losses," MPRA Paper 75761, University Library of Munich, Germany.

6. Malgorzata Olszak & Mateusz Pipien & Sylwia Roszkowska & Iwona Kowalska, 2014. "The effects of capital on bank lending in large EU banks – the role of procyclicality, income smoothing, regulations and supervision," Faculty of Management Working Paper Series 52014, University of Warsaw, Faculty of Management.

   Cited by:

   1. Adesina, Kolade Sunday, 2019. "Basel III liquidity rules: The implications for bank lending growth in Africa," Economic Systems, Elsevier, vol. 43(2), pages 1-1.
   2. Małgorzata Olszak & Iwona Kowalska & Patrycja Chodnicka-Jaworska & Filip Świtała, 2020. "Do cyclicality of loan-loss provisions and income smoothing matter for the capital crunch – the case of commercial banks in Poland," Bank i Kredyt, Narodowy Bank Polski, vol. 51(4), pages 383-436.
   3. Ben Naceur, S. & Marton, Katherin & Roulet, Caroline, 2018. "Basel III and bank-lending: Evidence from the United States and Europe," Journal of Financial Stability, Elsevier, vol. 39(C), pages 1-27.
      • Sami Ben Naceur & Jérémy Pépy & Caroline Roulet, 2017. "Basel III and Bank-Lending: Evidence from the United States and Europe," IMF Working Papers 2017/245, International Monetary Fund.
   4. Zuzanna Wośko, 2015. "Modelling credit growth in commercial banks with the use of data from Senior Loan Officers Opinion Survey," NBP Working Papers 210, Narodowy Bank Polski.
   5. Roulet, Caroline, 2018. "Basel III: Effects of capital and liquidity regulations on European bank lending," Journal of Economics and Business, Elsevier, vol. 95(C), pages 26-46.
   6. Malgorzata Olszak & Mateusz Pipien & Sylwia Roszkowska, 2016. "The Impact Of Capital Ratio On Lending Of Eu Banks – The Role Of Bank Specialization And Capitalization," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(1), pages 43-59, March.
      • Malgorzata Olszak & Mateusz Pipien & Sylwia Roszkowska, 2015. "The impact of capital ratio on lending of EU banks – the role of bank specialization and capitalization," Working Papers 83/2015, Institute of Economic Research, revised Apr 2015.
   7. Malgorzata Olszak & Sylwia Roszkowska & Marcell Zoltán Végh, 2017. "Do Microprudential Regulations and Supervision Affect the Link Between Lending and Capital Ratio in Economic Downturns of Large Banks in the EU?," Problemy Zarzadzania, University of Warsaw, Faculty of Management, vol. 15(66), pages 11-36.
   8. Simona Malovana & Martin Hodula & Josef Bajzik & Zuzana Gric, 2021. "A Tale of Different Capital Ratios: How to Correctly Assess the Impact of Capital Regulation on Lending," Working Papers 2021/8, Czech National Bank.
   9. Maya El Hourani & Gérard Mondello, 2019. "The Impact of Bank Capital and Institutional Quality on Lending: Empirical Evidence from the MENA Region," GREDEG Working Papers 2019-34, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
      • Maya El Hourani & Gerard Mondello, 2021. "The Impact Of Bank Capital And Institutional Quality On Lending: Empirical Evidence From The Mena Region," Working Papers halshs-03502606, HAL.
   10. Malgorzata Olszak, 2015. "The phenomenon of excessive procyclicality of the financial sector from the perspective of macroprudential policy – sources, methods of reduction and their basic limitations (Zjawisko nadmiernej procy," Problemy Zarzadzania, University of Warsaw, Faculty of Management, vol. 13(55), pages 72-96.
   11. Marcin Borsuk & Konrad Kostrzewa, 2020. "Miary ryzyka systemowego dla Polski. Jak ryzyko systemowe wpływa na akcję kredytową banków?," Bank i Kredyt, Narodowy Bank Polski, vol. 51(3), pages 211-238.

7. Olszak, Małgorzata & Pipień, Mateusz & Kowalska, Iwona & Roszkowska, Sylwia, 2014. "What drives heterogeneity of loan loss provisions’ procyclicality in the EU?," MPRA Paper 56834, University Library of Munich, Germany.

   Cited by:

   1. Malgorzata Olszak, 2015. "The phenomenon of excessive procyclicality of the financial sector from the perspective of macroprudential policy – sources, methods of reduction and their basic limitations (Zjawisko nadmiernej procy," Problemy Zarzadzania, University of Warsaw, Faculty of Management, vol. 13(55), pages 72-96.

8. Olszak, Małgorzata & Pipień, Mateusz, 2013. "Cross Country Linkages as Determinants of Procyclicality of Loan Loss Provisions – Empirical Importance of SURE Specification," MPRA Paper 53784, University Library of Munich, Germany.
   • Malgorzata A. Olszak & Mateusz Pipien, 2013. "Cross country linkages as determinants of procyclicality of loan loss provisions – empirical importance of SURE specification," Faculty of Management Working Paper Series 22013, University of Warsaw, Faculty of Management.

   Cited by:

   1. Łukasz Lenart & Mateusz Pipień, 2015. "Empirical Properties of the Credit and Equity Cycle within Almost Periodically Correlated Stochastic Processes - the Case of Poland, UK and USA," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 7(3), pages 169-186, September.

9. Blazej Mazur & Mateusz Pipien, 2012. "On the empirical importance of periodicity in the volatility of financial time series," NBP Working Papers 124, Narodowy Bank Polski.

   Cited by:

   1. Silvennoinen, Annastiina & Teräsvirta, Timo, 2024. "Consistency and asymptotic normality of maximum likelihood estimators of a multiplicative time-varying smooth transition correlation GARCH model," Econometrics and Statistics, Elsevier, vol. 32(C), pages 57-72.
      • Annastiina Silvennoinen & Timo Teräsvirta, 2017. "Consistency and asymptotic normality of maximum likelihood estimators of a multiplicative time-varying smooth transition correlation GARCH model," CREATES Research Papers 2017-28, Department of Economics and Business Economics, Aarhus University.
   2. Łukasz Lenart, 2016. "Generalized Resampling Scheme With Application to Spectral Density Matrix in Almost Periodically Correlated Class of Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(3), pages 369-404, May.
   3. Annastiina Silvennoinen & Timo Teräsvirta, 2015. "Testing constancy of unconditional variance in volatility models by misspecification and specification tests," CREATES Research Papers 2015-47, Department of Economics and Business Economics, Aarhus University.
      • Silvennoinen Annastiina & Teräsvirta Timo, 2016. "Testing constancy of unconditional variance in volatility models by misspecification and specification tests," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(4), pages 347-364, September.
      • Annastiina Silvennoinen & Timo Terasvirta, 2015. "Testing constancy of unconditional variance in volatility models by misspecification and specification tests," NCER Working Paper Series 108, National Centre for Econometric Research.
   4. Escribano, Alvaro & Sucarrat, Genaro, 2018. "Equation-by-equation estimation of multivariate periodic electricity price volatility," Energy Economics, Elsevier, vol. 74(C), pages 287-298.
      • Sucarrat, Genaro, 2016. "Equation-by-Equation Estimation of Multivariate Periodic Electricity Price Volatility," UC3M Working papers. Economics 23436, Universidad Carlos III de Madrid. Departamento de Economía.
      • Escribano, Alvaro & Sucarrat, Genaro, 2016. "Equation-by-Equation Estimation of Multivariate Periodic Electricity Price Volatility," MPRA Paper 72736, University Library of Munich, Germany.
   5. Cristina Amado & Annastiina Silvennoinen & Timo Ter¨asvirta, 2018. "Models with Multiplicative Decomposition of Conditional Variances and Correlations," NIPE Working Papers 07/2018, NIPE - Universidade do Minho.
      • Cristina Amado & Annastiina Silvennoinen & Timo Teräsvirta, 2018. "Models with Multiplicative Decomposition of Conditional Variances and Correlations," CREATES Research Papers 2018-14, Department of Economics and Business Economics, Aarhus University.
   6. Sucarrat, Genaro, 2018. "The Log-GARCH Model via ARMA Representations," MPRA Paper 100386, University Library of Munich, Germany.
   7. Ewa Ratuszny, 2013. "Robust Estimation in VaR Modelling - Univariate Approaches using Bounded Innovation Propagation and Regression Quantiles Methodology," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 5(1), pages 35-63, March.
   8. Amendola, A. & Candila, V. & Cipollini, F. & Gallo, G.M., 2024. "Doubly multiplicative error models with long- and short-run components," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
      • Alessandra Amendola & Vincenzo Candila & Fabrizio Cipollini & Giampiero M. Gallo, 2020. "Doubly Multiplicative Error Models with Long- and Short-run Components," Papers 2006.03458, arXiv.org.
   9. Cristina Amado & Annastiina Silvennoinen & Timo Terasvirta, 2017. "Modelling and Forecasting WIG20 Daily Returns," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(3), pages 173-200, September.
      • Cristina Amado & Annastiina Silvennoinen & Timo Teräsvirta, 2017. "Modelling and forecasting WIG20 daily returns," CREATES Research Papers 2017-29, Department of Economics and Business Economics, Aarhus University.
      • Cristina Amado & Annastiina Silvennoinen & Timo Teräsvirta, 2017. "Modelling and forecasting WIG20 daily returns," NIPE Working Papers 09/2017, NIPE - Universidade do Minho.
   10. Mazur Błażej & Pipień Mateusz, 2018. "Time-varying asymmetry and tail thickness in long series of daily financial returns," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(5), pages 1-21, December.
   11. Bouoiyour, Jamal & Selmi, Refk, 2014. "Exchange Uncertainty and Export Performance in Egypt: New Insights from Wavelet Decomposition and Optimal GARCH Model," MPRA Paper 59568, University Library of Munich, Germany, revised 2014.
   12. Jian Kang & Johan Stax Jakobsen & Annastiina Silvennoinen & Timo Teräsvirta & Glen Wade, 2022. "A parsimonious test of constancy of a positive definite correlation matrix in a multivariate time-varying GARCH model," CREATES Research Papers 2022-01, Department of Economics and Business Economics, Aarhus University.
       • Jian Kang & Johan Stax Jakobsen & Annastiina Silvennoinen & Timo Teräsvirta & Glen Wade, 2022. "A Parsimonious Test of Constancy of a Positive Definite Correlation Matrix in a Multivariate Time-Varying GARCH Model," Econometrics, MDPI, vol. 10(3), pages 1-41, August.
   13. Ewa Ratuszny, 2015. "Risk Modeling of Commodities using CAViaR Models, the Encompassing Method and the Combined Forecasts," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 15, pages 129-156.

10. Łukasz Lenart & Mateusz Pipień, 2012. "Almost periodically correlated time series in business fluctuations analysis," NBP Working Papers 107, Narodowy Bank Polski.

    Cited by:

Articles

1. Mateusz Pipień & Sylwia Roszkowska, 2019. "The heterogeneity of convergence in transition countries," Post-Communist Economies, Taylor & Francis Journals, vol. 31(1), pages 75-105, January.
   • Mateusz Pipieñ & Sylwia Roszkowska, 2017. "The Heterogeneity of Convergence in Transition Countries," Lodz Economics Working Papers 7/2017, University of Lodz, Faculty of Economics and Sociology.
   See citations under working paper version above.
2. Mazur Błażej & Pipień Mateusz, 2018. "Time-varying asymmetry and tail thickness in long series of daily financial returns," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(5), pages 1-21, December.

   Cited by:

   1. Panayiotis Theodossiou & Polina Ellina & Christos S. Savva, 2022. "Stochastic properties and pricing of bitcoin using a GJR-GARCH model with conditional skewness and kurtosis components," Review of Quantitative Finance and Accounting, Springer, vol. 59(2), pages 695-716, August.
   2. Delis, Manthos D. & Savva, Christos S. & Theodossiou, Panayiotis, 2021. "The impact of the coronavirus crisis on the market price of risk," Journal of Financial Stability, Elsevier, vol. 53(C).
   3. Ioannidis, Filippos & Kosmidou, Kyriaki & Savva, Christos & Theodossiou, Panayiotis, 2021. "Electricity pricing using a periodic GARCH model with conditional skewness and kurtosis components," Energy Economics, Elsevier, vol. 95(C).

3. Małgorzata Olszak & Mateusz Pipień & Iwona Kowalska & Sylwia Roszkowska, 2017. "What Drives Heterogeneity of Cyclicality of Loan-Loss Provisions in the EU?," Journal of Financial Services Research, Springer;Western Finance Association, vol. 51(1), pages 55-96, February.

   Cited by:

   1. Huizinga, Harry & Laeven, Luc, 2019. "The Procyclicality of Banking : Evidence from the Euro Area," Discussion Paper 201-010, Tilburg University, Center for Economic Research.
      • Huizinga, Harry & Laeven, Luc, 2019. "The procyclicality of banking: evidence from the euro area," Working Paper Series 2288, European Central Bank.
      • Huizinga, Harry & Laeven, Luc, 2019. "The Procyclicality of Banking : Evidence from the Euro Area," Other publications TiSEM afe88ae8-3e11-45d4-a1f4-f, Tilburg University, School of Economics and Management.
      • Laeven, Luc & Huizinga, Harry, 2019. "The Procyclicality of Banking: Evidence from the Euro Area," CEPR Discussion Papers 13605, C.E.P.R. Discussion Papers.
      • Harry Huizinga & Luc Laeven, 2019. "The Procyclicality of Banking: Evidence from the Euro Area," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 67(3), pages 496-527, September.
      • Huizinga, Harry & Laeven, Luc, 2019. "The Procyclicality of Banking : Evidence from the Euro Area," Other publications TiSEM d164bcc2-bc8b-46b7-9ab8-c, Tilburg University, School of Economics and Management.
   2. Małgorzata Olszak & Iwona Kowalska & Patrycja Chodnicka-Jaworska & Filip Świtała, 2020. "Do cyclicality of loan-loss provisions and income smoothing matter for the capital crunch – the case of commercial banks in Poland," Bank i Kredyt, Narodowy Bank Polski, vol. 51(4), pages 383-436.
   3. Ozili, Peterson K & Outa, Erick R, 2018. "Bank Income Smoothing in South Africa: Role of Ownership, IFRS and Economic fluctuation," MPRA Paper 102567, University Library of Munich, Germany.
   4. Gaffney, Edward & McCann, Fergal, 2019. "The cyclicality in SICR: mortgage modelling under IFRS 9," ESRB Working Paper Series 92, European Systemic Risk Board.
   5. Olszak, Małgorzata & Kowalska, Iwona, 2023. "Do competition and market structure affect sensitivity of bank profitability to the business cycle?," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
   6. Christophe Godlewski & Dorota Skala & Laurent Weill, 2018. "Is lending by Polish cooperative banks procyclical? A multidimensional analysis of credit supply cyclicality in Polish cooperative banks – the country and regional perspective," NBP Working Papers 297, Narodowy Bank Polski.
   7. Olszak, Małgorzata & Kowalska, Iwona, 2022. "Does bank competition matter for the effects of macroprudential policy on the procyclicality of lending?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
      • Ma³gorzata Olszak & Iwona Kowalska, 2021. "Does bank competition matter for the effects of macroprudential policy on procyclicality of lending?," Faculty of Management Working Paper Series 22021, University of Warsaw, Faculty of Management.
   8. Yosra Mnif & Imen Slimi, 2023. "Former auditors on the audit committee and earnings management: Evidence from African banks," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(2), pages 2383-2420, June.
   9. Konstantinos Vasilakopoulos & Christos Tzovas & Apostolos Ballas, 2021. "Banks’ Risk and The Impact of Audit Quality on Income Smoothing," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 20(3), pages 425-453, September.
   10. Adalgiso Amendola & Cristian Barra & Marinella Boccia & Anna Papaccio, 2021. "Market Structure and Financial Stability: the Interaction between Profit-Oriented and Mutual Cooperative Banks in Italy," Journal of Financial Services Research, Springer;Western Finance Association, vol. 60(2), pages 235-259, December.
   11. Ghosh, Saibal, 2022. "Elections and provisioning behavior: Assessing the Indian evidence," Economic Systems, Elsevier, vol. 46(1).
   12. Ozili, Peterson K, 2018. "Bank Loan Loss Provisions, Investor Protection and the Macroeconomy," MPRA Paper 80281, University Library of Munich, Germany.
   13. Ozili, Peterson K, 2020. "Bank loan loss provisioning during election years: cross-country evidence," MPRA Paper 96639, University Library of Munich, Germany.
   14. Jari-Mikko Meriläinen, 2019. "Western European Stakeholder Banks’ Loan Loss Accounting," Journal of Financial Services Research, Springer;Western Finance Association, vol. 56(2), pages 185-207, October.
   15. Christophe J. GODLEWSKI & Dorota SKALA & Laurent WEILL, 2018. "Is Lending by Polish Cooperative Banks Procyclical?," Working Papers of LaRGE Research Center 2018-09, Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg.
       • Christophe Godlewski & Dorota Skala & Laurent Weill, 2019. "Is Lending by Polish Cooperative Banks Procyclical?," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 69(4), pages 342-365, August.
   16. Ozili, Peterson K., 2019. "Bank income smoothing, institutions and corruption," Research in International Business and Finance, Elsevier, vol. 49(C), pages 82-99.
   17. Malgorzata Olszak & Patrycja Chodnicka-Jaworska & Iwona Kowalska & Filip Œwita³a, 2017. "The effect of capital ratio on lending: Do loan-loss provisioning practices matter?," Faculty of Management Working Paper Series 22017, University of Warsaw, Faculty of Management.
   18. Tran, Arthur M. & Griffiths, Mark D. & Winters, Drew B., 2023. "Small bank managers are prudent: A Benford’s Law approach to analyzing loan loss allowances," Journal of Economics and Business, Elsevier, vol. 125.
   19. Egor Nikulin & Jeff Downing, 2021. "Loan-loss provisions, earnings management, and capital management by Russian banks: the impact of changes in banking regulation and oversight," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 11(4), pages 659-677, December.
   20. Saibal Ghosh, 2023. "Stability versus soundness: what matters for women central bank governors?," Economic Change and Restructuring, Springer, vol. 56(4), pages 2315-2338, August.
   21. Avdjiev, Stefan & Aysun, Uluc & Tseng, Michael C., 2022. "Regulatory arbitrage behavior of internationally active banks and global financial market conditions," Economic Modelling, Elsevier, vol. 112(C).
   22. Ozili, Peterson K, 2021. "Banking sector earnings management using loan loss provisions in the Fintech era," MPRA Paper 105083, University Library of Munich, Germany.
   23. Peterson, Ozili K. & Arun, Thankom G., 2018. "Income smoothing among European systemic and non-systemic banks," The British Accounting Review, Elsevier, vol. 50(5), pages 539-558.
   24. Danisman, Gamze Ozturk & Demir, Ender & Ozili, Peterson, 2021. "Loan loss provisioning of US banks: Economic policy uncertainty and discretionary behavior," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 923-935.
   25. Uluc Aysun & Michael Tseng, 2021. "Regulatory arbitrage and global push factors," Working Papers 2021-01, University of Central Florida, Department of Economics.
   26. Tito Tomas Siueia & Jianling Wang, 2017. "Loan Loss Provisions, Income Smooth, Signaling, Capital Management and Pro-Cyclicality: Empirical Evidence from Mozambique¡¯s Commercial Banks," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(11), pages 48-63, November.
   27. Salazar, Yadira & Merello, Paloma & Zorio-Grima, Ana, 2023. "IFRS 9, banking risk and COVID-19: Evidence from Europe," Finance Research Letters, Elsevier, vol. 56(C).
   28. Ozili, Peterson K & Outa, Erick R, 2018. "Bank Earnings Smoothing During Mandatory IFRS adoption in Nigeria," MPRA Paper 89690, University Library of Munich, Germany.
   29. Małgorzata Olszak & Sylwia Roszkowska & Iwona Kowalska, 2018. "The Joint Effect Of Borrower Targeted Macroprudential Instruments And Capital Regulations On Procyclicality Of Loan-Loss Provisions," Copernican Journal of Finance & Accounting, Uniwersytet Mikolaja Kopernika, vol. 7(3), pages 29-53.
   30. Ozili, Peterson K, 2019. "Bank Income Smoothing, Institutions and Corruption," MPRA Paper 92339, University Library of Munich, Germany.
   31. Dorota Skała, 2018. "Shareholder power and income smoothing in Central European banks," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 53, pages 117-130.
   32. Albulena Shala & Valentin Toçi & Skender Ahmeti, 2020. "Income smoothing through loan loss provisions in south and Eastern European banks," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 38(2), pages 429-452.
   33. Alejandro Buesa & Javier Población & Javier Tarancón, 2023. "The Procyclicality of Impairment Accounting: Comparing Expected Losses Under IFRS 9 and US GAAP," Journal of Financial Services Research, Springer;Western Finance Association, vol. 64(3), pages 303-324, December.
   34. Ozili, Peterson K, 2017. "Discretionary Provisioning Practices among Western European Banks," MPRA Paper 92645, University Library of Munich, Germany.

4. Łukasz Lenart & Mateusz Pipień, 2017. "Non-Parametric Test for the Existence of the Common Deterministic Cycle: The Case of the Selected European Countries," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(3), pages 201-241, September.

   Cited by:

   1. Łukasz Lenart, 2018. "Bayesian inference for deterministic cycle with time-varying amplitude: the case of growth cycle in European countries," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 10(3), pages 233-262, September.

5. Małgorzata Olszak & Mateusz Pipień, 2016. "Cross-country linkages as determinants of procyclicality of loan loss provisions," The European Journal of Finance, Taylor & Francis Journals, vol. 22(11), pages 965-984, September.

   Cited by:

   1. Ozili, Peterson K & Outa, Erick R, 2018. "Bank Income Smoothing in South Africa: Role of Ownership, IFRS and Economic fluctuation," MPRA Paper 102567, University Library of Munich, Germany.
   2. Ly, Kim Cuong & Shimizu, Katsutoshi, 2021. "Did Basel regulation cause a significant procyclicality?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
   3. Piotr Adamczyk & Mateusz Pipień, 2022. "On the Role of Portfolio Indicators of the Capital Flows in the Convergence Processes – An Application of Systems of Regression Equations in the Case of Selected CEE Countries," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 14(3), pages 303-333, September.
   4. Łukasz Kurowski & Paweł Smaga, 2018. "Monetary Policy and Cyclical Systemic Risk - Friends or Foes?," Prague Economic Papers, Prague University of Economics and Business, vol. 2018(5), pages 522-540.

6. Lukasz Lenart & Blazej Mazur & Mateusz Pipien, 2016. "Statistical Analysis Of Business Cycle Fluctuations In Poland Before And After The Crisis," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(4), pages 769-783, December.
   • Lukasz Lenart & Blazej Mazur & Mateusz Pipien, 2015. "Statistical analysis of business cycle fluctuations in Poland before and after the crisis," Working Papers 71/2015, Institute of Economic Research, revised Apr 2015.
   See citations under working paper version above.
7. Mateusz Pipień & Sylwia Roszkowska, 2015. "Szacunki kwartalnego PKB w polskich województwach," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 5, pages 145-169.

   Cited by:

   1. Piotr Krajewski, 2017. "Regionalne zróżnicowanie oddziaływania wydatków rządowych na zatrudnienie – wnioski z analizy SVAR," Bank i Kredyt, Narodowy Bank Polski, vol. 48(1), pages 73-96.
   2. Gajewski Pawe³, 2018. "Demand and Supply Shock Symmetry across Polish Voievodships," Lodz Economics Working Papers 5/2018, University of Lodz, Faculty of Economics and Sociology.

8. Łukasz Lenart & Mateusz Pipień, 2013. "Seasonality Revisited - Statistical Testing for Almost Periodically Correlated Stochastic Processes," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 5(2), pages 85-102, June.

   Cited by:

   1. Łukasz Lenart, 2017. "Examination of Seasonal Volatility in HICP for Baltic Region Countries: Non-Parametric Test versus Forecasting Experiment," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(1), pages 29-67, March.
   2. Łukasz Lenart & Mateusz Pipień, 2015. "Empirical Properties of the Credit and Equity Cycle within Almost Periodically Correlated Stochastic Processes - the Case of Poland, UK and USA," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 7(3), pages 169-186, September.
   3. Dudek, Anna E. & Lenart, Łukasz, 2017. "Subsampling for nonstationary time series with non-zero mean function," Statistics & Probability Letters, Elsevier, vol. 129(C), pages 252-259.
   4. Giuseppe Cavaliere & Dimitris N. Politis & Anders Rahbek & Dominique Dehay & Anna E. Dudek, 2015. "Recent developments in bootstrap methods for dependent data," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(3), pages 327-351, May.
   5. Łukasz Lenart & Mateusz Pipień, 2017. "Non-Parametric Test for the Existence of the Common Deterministic Cycle: The Case of the Selected European Countries," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(3), pages 201-241, September.
   6. Marta Skrzypczyńska, 2014. "Cyclical Processes in the Polish Economy," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 6(3), pages 153-192, September.

9. Błażej Mazur & Mateusz Pipień, 2012. "On the Empirical Importance of Periodicity in the Volatility of Financial Returns - Time Varying GARCH as a Second Order APC(2) Process," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 4(2), pages 95-116, June.

   Cited by:

   1. Silvennoinen, Annastiina & Teräsvirta, Timo, 2024. "Consistency and asymptotic normality of maximum likelihood estimators of a multiplicative time-varying smooth transition correlation GARCH model," Econometrics and Statistics, Elsevier, vol. 32(C), pages 57-72.
      • Annastiina Silvennoinen & Timo Teräsvirta, 2017. "Consistency and asymptotic normality of maximum likelihood estimators of a multiplicative time-varying smooth transition correlation GARCH model," CREATES Research Papers 2017-28, Department of Economics and Business Economics, Aarhus University.
   2. Niklas Ahlgren & Alexander Back & Timo Terasvirta, 2024. "A new GARCH model with a deterministic time-varying intercept," Papers 2410.03239, arXiv.org, revised Oct 2024.
   3. Łukasz Lenart, 2016. "Generalized Resampling Scheme With Application to Spectral Density Matrix in Almost Periodically Correlated Class of Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(3), pages 369-404, May.
   4. Annastiina Silvennoinen & Timo Teräsvirta, 2015. "Testing constancy of unconditional variance in volatility models by misspecification and specification tests," CREATES Research Papers 2015-47, Department of Economics and Business Economics, Aarhus University.
      • Silvennoinen Annastiina & Teräsvirta Timo, 2016. "Testing constancy of unconditional variance in volatility models by misspecification and specification tests," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(4), pages 347-364, September.
      • Annastiina Silvennoinen & Timo Terasvirta, 2015. "Testing constancy of unconditional variance in volatility models by misspecification and specification tests," NCER Working Paper Series 108, National Centre for Econometric Research.
   5. Escribano, Alvaro & Sucarrat, Genaro, 2018. "Equation-by-equation estimation of multivariate periodic electricity price volatility," Energy Economics, Elsevier, vol. 74(C), pages 287-298.
      • Sucarrat, Genaro, 2016. "Equation-by-Equation Estimation of Multivariate Periodic Electricity Price Volatility," UC3M Working papers. Economics 23436, Universidad Carlos III de Madrid. Departamento de Economía.
      • Escribano, Alvaro & Sucarrat, Genaro, 2016. "Equation-by-Equation Estimation of Multivariate Periodic Electricity Price Volatility," MPRA Paper 72736, University Library of Munich, Germany.
   6. Cristina Amado & Annastiina Silvennoinen & Timo Ter¨asvirta, 2018. "Models with Multiplicative Decomposition of Conditional Variances and Correlations," NIPE Working Papers 07/2018, NIPE - Universidade do Minho.
      • Cristina Amado & Annastiina Silvennoinen & Timo Teräsvirta, 2018. "Models with Multiplicative Decomposition of Conditional Variances and Correlations," CREATES Research Papers 2018-14, Department of Economics and Business Economics, Aarhus University.
   7. Sucarrat, Genaro, 2018. "The Log-GARCH Model via ARMA Representations," MPRA Paper 100386, University Library of Munich, Germany.
   8. Ewa Ratuszny, 2013. "Robust Estimation in VaR Modelling - Univariate Approaches using Bounded Innovation Propagation and Regression Quantiles Methodology," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 5(1), pages 35-63, March.
   9. Amendola, A. & Candila, V. & Cipollini, F. & Gallo, G.M., 2024. "Doubly multiplicative error models with long- and short-run components," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
      • Alessandra Amendola & Vincenzo Candila & Fabrizio Cipollini & Giampiero M. Gallo, 2020. "Doubly Multiplicative Error Models with Long- and Short-run Components," Papers 2006.03458, arXiv.org.
   10. Cristina Amado & Annastiina Silvennoinen & Timo Terasvirta, 2017. "Modelling and Forecasting WIG20 Daily Returns," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(3), pages 173-200, September.
       • Cristina Amado & Annastiina Silvennoinen & Timo Teräsvirta, 2017. "Modelling and forecasting WIG20 daily returns," CREATES Research Papers 2017-29, Department of Economics and Business Economics, Aarhus University.
       • Cristina Amado & Annastiina Silvennoinen & Timo Teräsvirta, 2017. "Modelling and forecasting WIG20 daily returns," NIPE Working Papers 09/2017, NIPE - Universidade do Minho.
   11. Jian Kang & Johan Stax Jakobsen & Annastiina Silvennoinen & Timo Teräsvirta & Glen Wade, 2022. "A parsimonious test of constancy of a positive definite correlation matrix in a multivariate time-varying GARCH model," CREATES Research Papers 2022-01, Department of Economics and Business Economics, Aarhus University.
       • Jian Kang & Johan Stax Jakobsen & Annastiina Silvennoinen & Timo Teräsvirta & Glen Wade, 2022. "A Parsimonious Test of Constancy of a Positive Definite Correlation Matrix in a Multivariate Time-Varying GARCH Model," Econometrics, MDPI, vol. 10(3), pages 1-41, August.
   12. Ewa Ratuszny, 2015. "Risk Modeling of Commodities using CAViaR Models, the Encompassing Method and the Combined Forecasts," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 15, pages 129-156.

10. Jacek Osiewalski & Anna Pajor & Mateusz Pipien, 2006. "Bayesian Analysis of Main Bivariate GARCH and SV Models for PLN/USD and PLN/DEM (1966-2001)," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 7, pages 25-36.

    Cited by:

    1. Justyna Mokrzycka, 2019. "Bayesian comparison of bivariate Copula-GARCH and MGARCH models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 11(1), pages 47-71, March.

11. Osiewalski, Jacek & Pipien, Mateusz, 2004. "Bayesian comparison of bivariate ARCH-type models for the main exchange rates in Poland," Journal of Econometrics, Elsevier, vol. 123(2), pages 371-391, December.

    Cited by:

    1. Audrone Virbickaite & M. Concepción Ausín & Pedro Galeano, 2015. "Bayesian Inference Methods For Univariate And Multivariate Garch Models: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 29(1), pages 76-96, February.
    2. Jensen, Mark J. & Maheu, John M., 2013. "Bayesian semiparametric multivariate GARCH modeling," Journal of Econometrics, Elsevier, vol. 176(1), pages 3-17.
       • Mark J. Jensen & John M. Maheu, 2012. "Bayesian semiparametric multivariate GARCH modeling," FRB Atlanta Working Paper 2012-09, Federal Reserve Bank of Atlanta.
       • Mark J. Jensen & John M. Maheu, 2012. "Bayesian Semiparametric Multivariate GARCH Modeling," Working Paper series 48_12, Rimini Centre for Economic Analysis.
       • Mark J Jensen & John M Maheu, 2012. "Bayesian semiparametric multivariate GARCH modeling," Working Papers tecipa-458, University of Toronto, Department of Economics.
    3. Matteo Ciccarelli & Fabio Canova, 2006. "Estimating Multi-country VAR models," Computing in Economics and Finance 2006 478, Society for Computational Economics.
       • Fabio Canova & Matteo Ciccarelli, 2007. "Estimating Multi-country VAR models," Discussion Papers 7_2007, D.E.S. (Department of Economic Studies), University of Naples "Parthenope", Italy.
       • Fabio Canova & Matteo Ciccarelli, 2009. "Estimating Multicountry Var Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(3), pages 929-959, August.
       • Fabio Canova & Matteo Ciccarelli, 2002. "Estimating multi-country VAR models," Economics Working Papers 920, Department of Economics and Business, Universitat Pompeu Fabra, revised Apr 2008.
       • Canova, Fabio & Ciccarelli, Matteo, 2006. "Estimating multi-country VAR models," Working Paper Series 603, European Central Bank.
    4. Blazej Mazur & Mateusz Pipien, 2012. "On the empirical importance of periodicity in the volatility of financial time series," NBP Working Papers 124, Narodowy Bank Polski.
    5. Tomasz Wozniak, 2012. "Testing Causality Between Two Vectors in Multivariate GARCH Models," Department of Economics - Working Papers Series 1139, The University of Melbourne.
       • Tomasz Wozniak, 2012. "Testing Causality Between Two Vectors in Multivariate GARCH Models," Economics Working Papers ECO2012/20, European University Institute.
       • Woźniak, Tomasz, 2015. "Testing causality between two vectors in multivariate GARCH models," International Journal of Forecasting, Elsevier, vol. 31(3), pages 876-894.
    6. Tomasz Wozniak, 2015. "Granger-causal analysis of GARCH models: a Bayesian approach," Department of Economics - Working Papers Series 1194, The University of Melbourne.
       • Tomasz Woźniak, 2018. "Granger-causal analysis of GARCH models: A Bayesian approach," Econometric Reviews, Taylor & Francis Journals, vol. 37(4), pages 325-346, April.
    7. Martin Burda & John M. Maheu, 2012. "Bayesian Adaptively Updated Hamiltonian Monte Carlo with an Application to High-Dimensional BEKK GARCH Models," Working Paper series 46_12, Rimini Centre for Economic Analysis.
       • Burda Martin & Maheu John M., 2013. "Bayesian adaptively updated Hamiltonian Monte Carlo with an application to high-dimensional BEKK GARCH models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(4), pages 345-372, September.
    8. Chow, William W. & Fung, Michael K., 2008. "Volatility of stock price as predicted by patent data: An MGARCH perspective," Journal of Empirical Finance, Elsevier, vol. 15(1), pages 64-79, January.
    9. Ehlers, Ricardo S., 2012. "Computational tools for comparing asymmetric GARCH models via Bayes factors," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 82(5), pages 858-867.
    10. Martin Burda & John Maheu, 2011. "Bayesian Adaptive Hamiltonian Monte Carlo with an Application to High-Dimensional BEKK GARCH Models," Working Papers tecipa-438, University of Toronto, Department of Economics.
    11. Justyna Mokrzycka, 2019. "Bayesian comparison of bivariate Copula-GARCH and MGARCH models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 11(1), pages 47-71, March.
    12. Jacek Osiewalski & Anna Pajor, 2009. "Bayesian Analysis for Hybrid MSF-SBEKK Models of Multivariate Volatility," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 1(2), pages 179-202, November.
    13. Angela He & Alan Wan, 2009. "Predicting daily highs and lows of exchange rates: a cointegration analysis," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(11), pages 1191-1204.
    14. Mazur Błażej & Pipień Mateusz, 2018. "Time-varying asymmetry and tail thickness in long series of daily financial returns," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(5), pages 1-21, December.
    15. Mateusz Pipień, 2013. "Orthogonal Transformation of Coordinates in Copula M-GARCH Models – Bayesian analysis for WIG20 spot and futures returns," NBP Working Papers 151, Narodowy Bank Polski.
    16. Jacek Kwiatkowski, 2006. "A Bayesian Estimation and Testing of STUR Models with Application to Polish Financial Time Series," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 7, pages 151-160.
    17. Błażej Mazur & Mateusz Pipień, 2012. "On the Empirical Importance of Periodicity in the Volatility of Financial Returns - Time Varying GARCH as a Second Order APC(2) Process," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 4(2), pages 95-116, June.
    18. Carlo Altavilla & Matteo Ciccarelli, 2008. "Inflation models, optimal monetary policy and uncertain unemployment dynamics: Evidence from the US and the euro area," Discussion Papers 8_2008, D.E.S. (Department of Economic Studies), University of Naples "Parthenope", Italy.
    19. Anna Pajor, 2008. "Bayesian Forecasting of the Discounted Payoff of Options on WIG20 Index under Stochastic Volatility and Stochastic Interest Rates," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 8, pages 147-154.

12. Jacek Osiewalski & Mateusz Pipien, 2004. "Bayesian Comparison of Bivariate GARCH Processes in the Presence of an Exogenous Variable," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 6, pages 25-36.

    Cited by:

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 17 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-BAN: Banking (9) 2014-07-05 2014-10-13 2014-10-17 2015-01-26 2015-02-28 2015-04-19 2015-06-05 2015-11-21 2024-01-08. Author is listed
2. NEP-MAC: Macroeconomics (9) 2014-07-05 2014-10-13 2014-10-17 2015-01-26 2015-04-19 2015-04-19 2015-11-21 2015-11-21 2019-09-23. Author is listed
3. NEP-CFN: Corporate Finance (5) 2014-07-05 2014-10-17 2015-01-26 2015-06-05 2015-11-21. Author is listed
4. NEP-TRA: Transition Economics (5) 2015-04-19 2015-11-21 2017-06-04 2019-09-23 2024-01-08. Author is listed
5. NEP-CBA: Central Banking (4) 2015-01-26 2015-02-28 2015-11-21 2024-01-08
6. NEP-EEC: European Economics (4) 2014-10-13 2015-01-26 2015-02-28 2015-11-21
7. NEP-ECM: Econometrics (3) 2012-02-20 2012-10-27 2013-05-22
8. NEP-ETS: Econometric Time Series (3) 2012-02-20 2012-10-27 2013-05-22
9. NEP-EUR: Microeconomic European Issues (2) 2014-10-13 2016-01-18
10. NEP-RMG: Risk Management (2) 2015-02-28 2015-06-05
11. NEP-BEC: Business Economics (1) 2012-02-20
12. NEP-DCM: Discrete Choice Models (1) 2017-06-04
13. NEP-EDU: Education (1) 2016-01-18
14. NEP-EFF: Efficiency and Productivity (1) 2017-06-04
15. NEP-IAS: Insurance Economics (1) 2014-07-05
16. NEP-MON: Monetary Economics (1) 2024-01-08
17. NEP-ORE: Operations Research (1) 2016-01-18

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