Araştırma Makalesi
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A Panel VAR Approach on Analyzing Non-Performing Loans in the Turkish Banking Sector

Yıl 2020, Cilt: 14 Sayı: 1, 1 - 38, 17.07.2020
https://doi.org/10.46520/bddkdergisi.789935

Öz

This paper examines non-performing loans (NPLs) using the Turkish banking sector data by a panel vector autoregression (VAR) approach for the period between 2002Q4 and 2017Q4. The panel VAR analysis is used to test the existence of interdependencies among major bank-level variables and macroeconomic indicators. Given earlier evidence on changing dynamics of NPLs in Turkey after the global crisis, the analysis is repeated by sub-periods covering the pre-crisis and the post-crisis periods as a robustness check. Overall, the panel VAR confirms the existence of strong feedback effects among the selected variables. Also, the robustness
heck supports the presence of feedback effects and also verifies the changing dynamics of NPLs by producing more significant responses compared to the benchmark model. Furthermore, the robustness analysis shows that NPLs are more responsive to macroeconomic conditions in the post-crisis period. Despite the evidence for changing dynamics, capital adequacy, profitability and efficiency still feature out as impor- tant bank-specific variables, the impulses of which produce significant and plausible responses in NPLs in all cases. Likewise, NPLs respond reasonably and strongly to shocks in fundamental macroeconomic indicators like inflation, GDP growth, unemployment and debt stock. In this regard, the analysis of impulse-response functions reveals that a positive shock to growth leads to the reduction of NPLs while higher inflation, unemployment and debt stock lead to higher NPLs as expected. Future studies may focus on the underlying structural forces driving the NPLs, which, however, is beyond the scope of this paper.

Kaynakça

  • Afşar, M., 2011, Küresel Kriz ve Türk Bankacılık Sektörüne Yansımaları (in Turkish), Eskişehir Osmangazi Üniversitesi İİBF Dergisi, 6(2): 143‐171.
  • Ahmad, N.H. and M. Ariff, 2007, Multi-Country Study of Bank Credit Risk Determinants, International Journal of Banking and Finance, 5(1): 135-152.
  • Aiyar, S., W. Bergthaler, J.M. Garrido, A. Ilyina, A. Jobst, K. Kang, D. Kovtun, Y. Liu, D. Monaghan and M. Moretti, 2015, A Strategy for Resolving Europe’s Problem Loans, IMF Staff Discussion Note No. 15/19.
  • Akaike, H., 1969, Fitting Autoregressive Models for Prediction, Annals of the Institute of Statistical Mathematics, 21(1): 243-247.
  • Amin, A.S., M.O. Imam and M. Malik, 2019, Regulations, Governance, and Resolution of Non-Performing Loan: Evidence from an Emerging Economy, Emerging Markets Finance and Trade, 55(10), 2275-2297.
  • Andrews, D. and B. Lu, 2001, Consistent Model and Moment Selection Procedures for GMM Estimation with Application to Dynamic Panel Data Models, Journal of Econometrics, 101(1): 123-164.
  • Arellano, M. and O. Bover, 1995, Another Look at the Instrumental Variable Estimation of Error-Components Models, Journal of Econometrics, 68(1): 29-51.
  • Bar, R.S., L.M. Seiford and T.F. Siems, 1994, Forecasting Banking Failure: A Non-Parametric Frontier Estimation Approach, Researches Economiques de Lovain, 60(4): 417-429.
  • Barth, J.R., G. Caprio and R. Levin, 1994, Bank Regulation and Supervision: What Works Best?, Journal of Financial Intermediation, 13(2): 205-248.
  • Başçı, E. and H. Kara, 2011, Finansal İstikrar ve Para Politikası (in Turkish), İktisat İşletme ve Finans, 26(302): 9-25.
  • Beaton, K., A. Myrvoda and S. Thompson, 2016, Non-Performing Loans in the ECCU: Determinants and Macroeconomic Impact, IMF Working Paper No. 16/229.
  • Belgrave, A., G. Kester and M. Jackman, 2012, Industry Specific Shocks and Non-Performing Loans in Barbados, The Review of Finance and Banking, 4(2): 123-133.
  • Berge, T.O. and K.G. Boye, 2007, An Analysis of Bank’s Problem Loans, Norges Bank Economic Bulletin, 78(2): 65-76.
  • Berger, A.N. and R. DeYoung, 1997, Problem Loans and Cost Efficiency in Commercial Banks, Journal of Banking & Finance, 21(6): 849-870.
  • Berger, A.N. and C.H.S. Bouwman, 2013, How Does Capital Affect Bank Performance during Financial Crises, Journal of Financial Economics, 109(1): 146-176.
  • Blundell, R. and S. Bond, 1998, Initial Conditions and Moment Restrictions in Dynamic Panel Data Models, Journal of Econometrics, 87(1): 115-143.
  • Bofondi, M. and T. Ropele, 2011, Macroeconomic Determinants of Bad Loans: Evidence from Italian Banks, Bank of Italy Occasional Paper No. 89.
  • Boss, M., G. Fenz, J. Pann, C. Puhr, M. Schneider and E. Ubl, 2009, Modeling Credit Risk through the Austrian Business Cycle: An Update of the OeNB Model, Financial Stability Report, Oesterreichische Nationalbank, 17: 85-101.
  • Boudriga, A., N. Boulila and S. Jellouli, 2009, Does Bank Supervision Impact Nonperforming Loans: Cross-Country Determinants Using Aggregate Data, MPRA Paper No. 18068.
  • Breitung, J., 2002, Nonparametric Tests for Unit Roots and Cointegration, Journal of Econometrics, 108(2): 343-363.
  • Breitung, J. and S. Das, 2005, Panel Unit Root Tests under Cross Sectional Dependence, Statistica Neerlandica, 59(4): 414-433.
  • Breuer, J.B., 2006, Problem Bank Loans, Conflicts of Interest, and Institutions, Journal of Financial Stability 2(3): 266-285.
  • Canova, F. and M. Ciccarelli, 2013, Panel Vector Autoregressive Models: A Survey, ECB Working Paper No. 1507.
  • Castro, V., 2013, Macroeconomic Determinants of the Credit Risk in the Banking System: The Case of the GIPSI, Economic Modelling, 31(c): 672-683.
  • CBRT, 2010, Financial Stability Report, December, available at http://www.tcmb.gov.tr/wps/wcm/connect/dae98237-7d57-46fc-9e23-d95c1f191e97/fulltext11.pdf?MOD=AJPERES&CACHEID=ROOTWORKSPACE-dae98237-7d57-46fc-9e23-d95c1f191e97-m3fw7js.
  • Choi, I., 2001, Unit Root Tests for Panel Data, Journal of International Money and Finance, 20(2): 249-272.
  • Cifter, A., S. Yilmazer and E. Cifter, 2009, Analysis of Sectoral Credit Default Cycle Dependency with Wavelet Networks: Evidence from Turkey, Economic Modelling, 26(6): 1382-1388.
  • Demirguc-Kunt, A., 1989, Deposit-Institution Failures: a Review of Empirical Literature, Federal Reserve Bank of Cleveland, Economic Review, 25(4): 2-18.
  • Demirguc-Kunt, A. and E. Detragiache, 1998, The Determinants of Banking Crises in Developing and Developed Countries, IMF Staff Papers, 45(1): 81-109.
  • Erdinç, D. and E. Abazi, 2014, The Determinants of NPLs in Emerging Europe, 2000-2011, Journal of Economics and Political Economy, 1(2): 112-125.
  • Espinoza, R. and A. Prasad, 2010, Nonperforming Loans in the GCC Banking Systems and Their Macroeconomic Effects, IMF Working Paper No. 10/224.
  • Fofack, H., 2005, Non-Performing Loans in Sub-Saharan Africa: Causal Analysis and Macroeconomic Implications, World Bank Policy Research Working Paper No. 3769. Ganioğlu, A. and V. Us, 2014, The Structure of the Turkish Banking Sector before and after the Global Crisis, CBRT Working Paper No. 14/29.
  • García-Marco, T. and M.D. Robles-Fernández, 2008, Risk-Taking Behavior and Ownership in the Banking Industry: The Spanish Evidence, Journal of Economics and Business, 60(4): 332-354.
  • Greenidge, K. and T. Grosvenor, 2010, Forecasting Non-Performing Loans in Barbados, Journal of Business, Finance and Economics in Emerging Economies, 5(1): 79-108.
  • Hadri, K., 2000, Testing for Stationarity in Heterogeneous Panel Data, The Econometrics Journal, 21(3): 148-161.
  • Hamilton, J.D., 1994, Time Series Analysis, Princeton University Press, Princeton, NJ, USA.
  • Hannan, E.J. and B.G. Quinn, 1979, The Determination of the Order of an Autoregression, Journal of the Royal Statistical Society, 41(2): 190-195.
  • Hansen, L., 1982, Large Sample Properties of Generalized Method of Moments Estimators, Econometrica, 50(4): 1029-54.
  • Harris, R.D.F. and E. Tzavalis, 1999, Inference for Unit Roots in Dynamic Panels Where the Time Dimension is Fixed, Journal of Econometrics, 91(2): 201-226.
  • Holtz-Eakin, D., W. Newey and H. Rosen, 1988, Estimating Vector Autoregressions with Panel Data, Econometrica, 56(6): 1371-95.
  • Hu, J.L., Y. Li and Y.H. Chiu, 2004, Ownership and Nonperforming Loans: Evidence from Taiwan’s Banks, The Developing Economies, 42(3): 405-420.
  • Im, K.S., M.H. Pesaran, and Y. Shin, 2003, Testing for Unit Roots in Heterogenous Panels, Journal of Econometrics, 115(1): 53-74.
  • IMF, 2012, Turkey: Selected Issues, IMF Country Report No. 12/339.
  • Jassaud, N. and K. Kang, 2015, A Strategy for Developing a Market for Nonperforming Loans in Italy, IMF Working Paper No. 15/24.
  • Jiménez, G. and J. Saurina, 2006, Credit Cycles, Credit Risk, and Prudential Regulation, International Journal of Central Banking, 2(2): 65-98.
  • Kalluci, I. and O. Kodra, 2010, Macroeconomic Determinants of Credit Risk: The case of Albania, in A. Fullani (ed.), Economic Policies in SEE: Design, Performance and Challenges, Bank of Albania.
  • Kara, H., 2013, Monetary Policy after the Global Crisis, Atlantic Economic Journal, 41(1): 51-73.
  • Keeton, W.R. and C.S. Morris, 1987, Why Do Banks’ Loan Losses Differ?, Federal Reserve Bank of Kansas City, Economic Review, 72(5): 3-21.
  • Khemraj, T. and S. Pasha, 2009, The Determinants of Non-Performing Loans: An Econometric Case Study of Guyana, MPRA Paper No. 53128.
  • Klein, N., 2013, Non-Performing Loans in CESEE: Determinants and Impact on Macroeconomic Performance, IMF Working Paper No. 13/72.
  • Levin, A., C.F. Lin and C.S.J. Chu, 2002, Unit Root Tests in Panel Data: Asymptotic and Finite-Sample Properties, Journal of Econometrics, 108(1): 1-24.
  • Louzis, D.P., A.T. Vouildis and V.L. Metaxas, 2012, Macroeconomic and Bank-Specific Determinants of Non-Performing Loans in Greece: A Comparative Study of Mortgage, Business and Consumer Loan Portfolios, Journal of Banking & Finance, 36(4): 1012-1027.
  • Love, I. and L. Zicchino, 2006, Financial Development and Dynamic Investment Behavior: Evidence from Panel VAR, The Quarterly Review of Economics and Finance, 46(2): 190-210.
  • Love, I. and R.T. Ariss, 2014, Macro-Financial Linkages in Egypt: A Panel Analysis of Economic Shocks and Loan Portfolio Quality, Journal of International Financial Markets, Institutions and Money, 28(C): 158-181.
  • Lütkepohl, H., 2005, New Introduction to Multiple Time Series Analysis, Springer-Verlag GmbH, Heidelberg, Germany.
  • Makri, V., A. Tsagkanos and A. Bellas, 2014, Determinants of Non-Performing Loans: The Case of Eurozone, Panoeconomicus, 61(2): 193-206.
  • Moinescu, B. and A. Codirlaşu, 2012, Assessing the Sectoral Dynamics of Non-performing Loans: Signs from Financial and Real Economy, Theoretical and Applied Economics, XIX(2): 69-80.
  • Nkusu, M., 2011, Nonperforming Loans and Macrofinancial Vulnerabilities in Advanced Economies, IMF Working Paper No. 11/161.
  • Ozili, P.K., 2019, Non-Performing Loans and Financial Development: New Evidence, The Journal of Risk Finance, 20(1), 59-81.
  • Podpiera, J. and L. Weill, 2008, Bad Luck or Bad Management? Emerging Banking Market Experience, Journal of Financial Stability, 4(2): 135-148.
  • Radivojević, N., D. Cvijanović, D. Sekulic, D. Pavlovic, S. Jovic and G. Maksimović, 2019, Econometric Model of Non-Performing Loans Determinants, Physica A: Statistical Mechanics and its Applications, 520(15), 481-488.
  • Reinhart, C. and K. Rogoff, 2011, From Financial Crash to Debt Crisis, American Economic Review, 101(5): 1676-1706.
  • Rinaldi, L. and A. Sanchis-Arellano, 2006, Household Debt Sustainability What Explains Household Non-Performing Loans? An Empirical Analysis, ECB Working Paper No. 57.
  • Rossi, S., M. Schwaiger and G. Winkler, 2008, Linking Managerial Behaviour to Cost and Profit Efficiency in the Banking Sectors of Central and Eastern European Countries, Kredit und Capital, 41(4): 598-629.
  • Salas, V. and J. Saurina, 2002, Credit Risk in Two Institutional Regimes: Spanish Commercial and Savings Banks, Journal of Financial Services Research, 22(3): 203-224.
  • Schwarz, G., 1978, Estimating the Dimension of a Model, The Annals of Statistics, 6(2): 461-464.
  • Selçuk, B., 2010, Küresel Krizin Türk Finans Sektörü Üzerindeki Etkileri (in Turkish), Ekonomi Bilimleri Dergisi, 2(2): 21-27.
  • Siems, T.F. and R.S. Barr, 1994, Predicting Bank Failure Using DEA to Quantify Management Quality, Financial Industry Studies Working Paper No. 94-1.
  • Sinkey, J.F. and M.B. Greenawalt, 1991, Loan-Loss Experience and Risk-Taking Behavior at Large Commercial Banks, Journal of Financial Services Research, 5(1): 43-59.
  • Sorge, M., 2004, Stress-Testing Financial Systems: An Overview of Current Methodologies, BIS Working Papers No. 165.
  • Stern, G.H. and R.J. Feldman, 2004, Too Big To Fail: The Hazards of Bank Bailouts, Brookings Institution Press, Washington, DC, USA.
  • Us, V., 2016, Determinants of Non-Performing Loans in the Turkish Banking Sector: What Has Changed after the Global Crisis?, CBT Research Notes in Economics No. 16/27.
  • , 2017, A Dynamic Approach to Analysing the Effect of the Global Crisis on Nonperforming Loans: Evidence from the Turkish Banking Sector, Applied Economics Letters, 24(3): 186-192.
  • , 2018, The Determinants of Non-Performing Loans before and after the Crisis: Challenges and Policy Implications for Turkish Banks, Emerging Markets Finance and Trade, 54(7): 1608-1622.
  • Whalen, G., 1991, Proportional Hazards Model of Bank Failure: An Examination of Its Usefulness as an Early Warning Tool, Federal Reserve Bank of Cleveland, Economic Review, 27(1): 21-31.
  • Vithessonthi, C., 2016, Deflation, bank credit growth, and non-performing loans: Evidence from Japan, International Review of Financial Analysis, 45(2016): 295-305.
Yıl 2020, Cilt: 14 Sayı: 1, 1 - 38, 17.07.2020
https://doi.org/10.46520/bddkdergisi.789935

Öz

Kaynakça

  • Afşar, M., 2011, Küresel Kriz ve Türk Bankacılık Sektörüne Yansımaları (in Turkish), Eskişehir Osmangazi Üniversitesi İİBF Dergisi, 6(2): 143‐171.
  • Ahmad, N.H. and M. Ariff, 2007, Multi-Country Study of Bank Credit Risk Determinants, International Journal of Banking and Finance, 5(1): 135-152.
  • Aiyar, S., W. Bergthaler, J.M. Garrido, A. Ilyina, A. Jobst, K. Kang, D. Kovtun, Y. Liu, D. Monaghan and M. Moretti, 2015, A Strategy for Resolving Europe’s Problem Loans, IMF Staff Discussion Note No. 15/19.
  • Akaike, H., 1969, Fitting Autoregressive Models for Prediction, Annals of the Institute of Statistical Mathematics, 21(1): 243-247.
  • Amin, A.S., M.O. Imam and M. Malik, 2019, Regulations, Governance, and Resolution of Non-Performing Loan: Evidence from an Emerging Economy, Emerging Markets Finance and Trade, 55(10), 2275-2297.
  • Andrews, D. and B. Lu, 2001, Consistent Model and Moment Selection Procedures for GMM Estimation with Application to Dynamic Panel Data Models, Journal of Econometrics, 101(1): 123-164.
  • Arellano, M. and O. Bover, 1995, Another Look at the Instrumental Variable Estimation of Error-Components Models, Journal of Econometrics, 68(1): 29-51.
  • Bar, R.S., L.M. Seiford and T.F. Siems, 1994, Forecasting Banking Failure: A Non-Parametric Frontier Estimation Approach, Researches Economiques de Lovain, 60(4): 417-429.
  • Barth, J.R., G. Caprio and R. Levin, 1994, Bank Regulation and Supervision: What Works Best?, Journal of Financial Intermediation, 13(2): 205-248.
  • Başçı, E. and H. Kara, 2011, Finansal İstikrar ve Para Politikası (in Turkish), İktisat İşletme ve Finans, 26(302): 9-25.
  • Beaton, K., A. Myrvoda and S. Thompson, 2016, Non-Performing Loans in the ECCU: Determinants and Macroeconomic Impact, IMF Working Paper No. 16/229.
  • Belgrave, A., G. Kester and M. Jackman, 2012, Industry Specific Shocks and Non-Performing Loans in Barbados, The Review of Finance and Banking, 4(2): 123-133.
  • Berge, T.O. and K.G. Boye, 2007, An Analysis of Bank’s Problem Loans, Norges Bank Economic Bulletin, 78(2): 65-76.
  • Berger, A.N. and R. DeYoung, 1997, Problem Loans and Cost Efficiency in Commercial Banks, Journal of Banking & Finance, 21(6): 849-870.
  • Berger, A.N. and C.H.S. Bouwman, 2013, How Does Capital Affect Bank Performance during Financial Crises, Journal of Financial Economics, 109(1): 146-176.
  • Blundell, R. and S. Bond, 1998, Initial Conditions and Moment Restrictions in Dynamic Panel Data Models, Journal of Econometrics, 87(1): 115-143.
  • Bofondi, M. and T. Ropele, 2011, Macroeconomic Determinants of Bad Loans: Evidence from Italian Banks, Bank of Italy Occasional Paper No. 89.
  • Boss, M., G. Fenz, J. Pann, C. Puhr, M. Schneider and E. Ubl, 2009, Modeling Credit Risk through the Austrian Business Cycle: An Update of the OeNB Model, Financial Stability Report, Oesterreichische Nationalbank, 17: 85-101.
  • Boudriga, A., N. Boulila and S. Jellouli, 2009, Does Bank Supervision Impact Nonperforming Loans: Cross-Country Determinants Using Aggregate Data, MPRA Paper No. 18068.
  • Breitung, J., 2002, Nonparametric Tests for Unit Roots and Cointegration, Journal of Econometrics, 108(2): 343-363.
  • Breitung, J. and S. Das, 2005, Panel Unit Root Tests under Cross Sectional Dependence, Statistica Neerlandica, 59(4): 414-433.
  • Breuer, J.B., 2006, Problem Bank Loans, Conflicts of Interest, and Institutions, Journal of Financial Stability 2(3): 266-285.
  • Canova, F. and M. Ciccarelli, 2013, Panel Vector Autoregressive Models: A Survey, ECB Working Paper No. 1507.
  • Castro, V., 2013, Macroeconomic Determinants of the Credit Risk in the Banking System: The Case of the GIPSI, Economic Modelling, 31(c): 672-683.
  • CBRT, 2010, Financial Stability Report, December, available at http://www.tcmb.gov.tr/wps/wcm/connect/dae98237-7d57-46fc-9e23-d95c1f191e97/fulltext11.pdf?MOD=AJPERES&CACHEID=ROOTWORKSPACE-dae98237-7d57-46fc-9e23-d95c1f191e97-m3fw7js.
  • Choi, I., 2001, Unit Root Tests for Panel Data, Journal of International Money and Finance, 20(2): 249-272.
  • Cifter, A., S. Yilmazer and E. Cifter, 2009, Analysis of Sectoral Credit Default Cycle Dependency with Wavelet Networks: Evidence from Turkey, Economic Modelling, 26(6): 1382-1388.
  • Demirguc-Kunt, A., 1989, Deposit-Institution Failures: a Review of Empirical Literature, Federal Reserve Bank of Cleveland, Economic Review, 25(4): 2-18.
  • Demirguc-Kunt, A. and E. Detragiache, 1998, The Determinants of Banking Crises in Developing and Developed Countries, IMF Staff Papers, 45(1): 81-109.
  • Erdinç, D. and E. Abazi, 2014, The Determinants of NPLs in Emerging Europe, 2000-2011, Journal of Economics and Political Economy, 1(2): 112-125.
  • Espinoza, R. and A. Prasad, 2010, Nonperforming Loans in the GCC Banking Systems and Their Macroeconomic Effects, IMF Working Paper No. 10/224.
  • Fofack, H., 2005, Non-Performing Loans in Sub-Saharan Africa: Causal Analysis and Macroeconomic Implications, World Bank Policy Research Working Paper No. 3769. Ganioğlu, A. and V. Us, 2014, The Structure of the Turkish Banking Sector before and after the Global Crisis, CBRT Working Paper No. 14/29.
  • García-Marco, T. and M.D. Robles-Fernández, 2008, Risk-Taking Behavior and Ownership in the Banking Industry: The Spanish Evidence, Journal of Economics and Business, 60(4): 332-354.
  • Greenidge, K. and T. Grosvenor, 2010, Forecasting Non-Performing Loans in Barbados, Journal of Business, Finance and Economics in Emerging Economies, 5(1): 79-108.
  • Hadri, K., 2000, Testing for Stationarity in Heterogeneous Panel Data, The Econometrics Journal, 21(3): 148-161.
  • Hamilton, J.D., 1994, Time Series Analysis, Princeton University Press, Princeton, NJ, USA.
  • Hannan, E.J. and B.G. Quinn, 1979, The Determination of the Order of an Autoregression, Journal of the Royal Statistical Society, 41(2): 190-195.
  • Hansen, L., 1982, Large Sample Properties of Generalized Method of Moments Estimators, Econometrica, 50(4): 1029-54.
  • Harris, R.D.F. and E. Tzavalis, 1999, Inference for Unit Roots in Dynamic Panels Where the Time Dimension is Fixed, Journal of Econometrics, 91(2): 201-226.
  • Holtz-Eakin, D., W. Newey and H. Rosen, 1988, Estimating Vector Autoregressions with Panel Data, Econometrica, 56(6): 1371-95.
  • Hu, J.L., Y. Li and Y.H. Chiu, 2004, Ownership and Nonperforming Loans: Evidence from Taiwan’s Banks, The Developing Economies, 42(3): 405-420.
  • Im, K.S., M.H. Pesaran, and Y. Shin, 2003, Testing for Unit Roots in Heterogenous Panels, Journal of Econometrics, 115(1): 53-74.
  • IMF, 2012, Turkey: Selected Issues, IMF Country Report No. 12/339.
  • Jassaud, N. and K. Kang, 2015, A Strategy for Developing a Market for Nonperforming Loans in Italy, IMF Working Paper No. 15/24.
  • Jiménez, G. and J. Saurina, 2006, Credit Cycles, Credit Risk, and Prudential Regulation, International Journal of Central Banking, 2(2): 65-98.
  • Kalluci, I. and O. Kodra, 2010, Macroeconomic Determinants of Credit Risk: The case of Albania, in A. Fullani (ed.), Economic Policies in SEE: Design, Performance and Challenges, Bank of Albania.
  • Kara, H., 2013, Monetary Policy after the Global Crisis, Atlantic Economic Journal, 41(1): 51-73.
  • Keeton, W.R. and C.S. Morris, 1987, Why Do Banks’ Loan Losses Differ?, Federal Reserve Bank of Kansas City, Economic Review, 72(5): 3-21.
  • Khemraj, T. and S. Pasha, 2009, The Determinants of Non-Performing Loans: An Econometric Case Study of Guyana, MPRA Paper No. 53128.
  • Klein, N., 2013, Non-Performing Loans in CESEE: Determinants and Impact on Macroeconomic Performance, IMF Working Paper No. 13/72.
  • Levin, A., C.F. Lin and C.S.J. Chu, 2002, Unit Root Tests in Panel Data: Asymptotic and Finite-Sample Properties, Journal of Econometrics, 108(1): 1-24.
  • Louzis, D.P., A.T. Vouildis and V.L. Metaxas, 2012, Macroeconomic and Bank-Specific Determinants of Non-Performing Loans in Greece: A Comparative Study of Mortgage, Business and Consumer Loan Portfolios, Journal of Banking & Finance, 36(4): 1012-1027.
  • Love, I. and L. Zicchino, 2006, Financial Development and Dynamic Investment Behavior: Evidence from Panel VAR, The Quarterly Review of Economics and Finance, 46(2): 190-210.
  • Love, I. and R.T. Ariss, 2014, Macro-Financial Linkages in Egypt: A Panel Analysis of Economic Shocks and Loan Portfolio Quality, Journal of International Financial Markets, Institutions and Money, 28(C): 158-181.
  • Lütkepohl, H., 2005, New Introduction to Multiple Time Series Analysis, Springer-Verlag GmbH, Heidelberg, Germany.
  • Makri, V., A. Tsagkanos and A. Bellas, 2014, Determinants of Non-Performing Loans: The Case of Eurozone, Panoeconomicus, 61(2): 193-206.
  • Moinescu, B. and A. Codirlaşu, 2012, Assessing the Sectoral Dynamics of Non-performing Loans: Signs from Financial and Real Economy, Theoretical and Applied Economics, XIX(2): 69-80.
  • Nkusu, M., 2011, Nonperforming Loans and Macrofinancial Vulnerabilities in Advanced Economies, IMF Working Paper No. 11/161.
  • Ozili, P.K., 2019, Non-Performing Loans and Financial Development: New Evidence, The Journal of Risk Finance, 20(1), 59-81.
  • Podpiera, J. and L. Weill, 2008, Bad Luck or Bad Management? Emerging Banking Market Experience, Journal of Financial Stability, 4(2): 135-148.
  • Radivojević, N., D. Cvijanović, D. Sekulic, D. Pavlovic, S. Jovic and G. Maksimović, 2019, Econometric Model of Non-Performing Loans Determinants, Physica A: Statistical Mechanics and its Applications, 520(15), 481-488.
  • Reinhart, C. and K. Rogoff, 2011, From Financial Crash to Debt Crisis, American Economic Review, 101(5): 1676-1706.
  • Rinaldi, L. and A. Sanchis-Arellano, 2006, Household Debt Sustainability What Explains Household Non-Performing Loans? An Empirical Analysis, ECB Working Paper No. 57.
  • Rossi, S., M. Schwaiger and G. Winkler, 2008, Linking Managerial Behaviour to Cost and Profit Efficiency in the Banking Sectors of Central and Eastern European Countries, Kredit und Capital, 41(4): 598-629.
  • Salas, V. and J. Saurina, 2002, Credit Risk in Two Institutional Regimes: Spanish Commercial and Savings Banks, Journal of Financial Services Research, 22(3): 203-224.
  • Schwarz, G., 1978, Estimating the Dimension of a Model, The Annals of Statistics, 6(2): 461-464.
  • Selçuk, B., 2010, Küresel Krizin Türk Finans Sektörü Üzerindeki Etkileri (in Turkish), Ekonomi Bilimleri Dergisi, 2(2): 21-27.
  • Siems, T.F. and R.S. Barr, 1994, Predicting Bank Failure Using DEA to Quantify Management Quality, Financial Industry Studies Working Paper No. 94-1.
  • Sinkey, J.F. and M.B. Greenawalt, 1991, Loan-Loss Experience and Risk-Taking Behavior at Large Commercial Banks, Journal of Financial Services Research, 5(1): 43-59.
  • Sorge, M., 2004, Stress-Testing Financial Systems: An Overview of Current Methodologies, BIS Working Papers No. 165.
  • Stern, G.H. and R.J. Feldman, 2004, Too Big To Fail: The Hazards of Bank Bailouts, Brookings Institution Press, Washington, DC, USA.
  • Us, V., 2016, Determinants of Non-Performing Loans in the Turkish Banking Sector: What Has Changed after the Global Crisis?, CBT Research Notes in Economics No. 16/27.
  • , 2017, A Dynamic Approach to Analysing the Effect of the Global Crisis on Nonperforming Loans: Evidence from the Turkish Banking Sector, Applied Economics Letters, 24(3): 186-192.
  • , 2018, The Determinants of Non-Performing Loans before and after the Crisis: Challenges and Policy Implications for Turkish Banks, Emerging Markets Finance and Trade, 54(7): 1608-1622.
  • Whalen, G., 1991, Proportional Hazards Model of Bank Failure: An Examination of Its Usefulness as an Early Warning Tool, Federal Reserve Bank of Cleveland, Economic Review, 27(1): 21-31.
  • Vithessonthi, C., 2016, Deflation, bank credit growth, and non-performing loans: Evidence from Japan, International Review of Financial Analysis, 45(2016): 295-305.
Toplam 76 adet kaynakça vardır.

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Birincil Dil İngilizce
Konular Finans
Bölüm Araştırma Makaleleri
Yazarlar

Vuslat Us Bu kişi benim 0000-0002-9531-4381

Yayımlanma Tarihi 17 Temmuz 2020
Yayımlandığı Sayı Yıl 2020 Cilt: 14 Sayı: 1

Kaynak Göster

APA Us, V. (2020). A Panel VAR Approach on Analyzing Non-Performing Loans in the Turkish Banking Sector. BDDK Bankacılık Ve Finansal Piyasalar Dergisi, 14(1), 1-38. https://doi.org/10.46520/bddkdergisi.789935