Finansal İstikrarsızlığın Kamu Bankalarının İstikrarına Etkisi: Bir PMG/ARDL Panel Yaklaşımı

Year 2024, , 297 - 324, 31.01.2024

Mehmet Fatih Aslantaş , Tuncer Yılmaz , Mehmet Fatih Çapanoğlu

https://doi.org/10.17233/sosyoekonomi.2024.01.13

Abstract

Bu makalede, Türkiye ekonomisine özgü bazı makro finansal istikrarsızlık değişkenlerinin kamu sermayeli bankaların finansal istikrar performansı üzerindeki etkisinin incelenmesi amaçlanmıştır. Çalışmada, 2017-2022 dönemi boyunca çeyreklik veriler kullanılmıştır. Çalışmanın eşbütünleşme, uzun ve kısa dönem ampirik amaçlarına ulaşmak için ekonometrik model olarak panel PMG/ARDL tekniği kullanılmıştır. Gelişmekte olan bir ekonomide yapılan bu çalışmanın bulgularında, modelde yer alan finansal istikrarsızlık göstergeleri ile bankaların finansal istikrarları arasında önemli düzeyde bir eşbütünleşmenin varlığına rastlanılmıştır. PMG etki analizlerinde ise, yurtiçi toplam kredi hacmi, kredi risk primi ile takipteki kredilerin oranı göstergelerinin uzun dönemde bankaların istikrarını azalttığı, kısa dönemde ise bankaların bu durumu pozitife dönüştürerek başarılı bir şekilde yönetebildikleri görülmüştür. Son olarak, istikrarsızlığa neden olan göstergelerin hem reel sektör hem de finansal hizmetler sektörü için ekonomik sistemde önemli bir işlev gören bankaların finansal istikrarı üzerinde uzun dönemde negatif bir etkiye ve eşbütünleşik bir ilişki içinde olduğuna dair kanıtlar istatistiksel olarak anlamlı bulunmuştur. Bu bağlamda, bankacılık sektörünün istikrarına yönelik elde edilen kanıtlar, bankacılık sektörüne yönelik politika yapıcılar, akademik çevre, düzenleyiciler ve yatırımcılar içinde çeşitli çıkarımlar sunmaktadır.

Keywords

Finansal İstikrarsızlık, Kamu Bankaları, Finansal İstikrar, PMG/ARDL

The Effect of Financial Instability on the Stability of Public Banks: A PMG/ARDL Panel Approach

Abstract

This paper aims to analyse the impact of some macro-financial instability variables specific to the Turkish economy on the financial stability performance of state-owned banks. The study utilises quarterly data for the period 2017-2022. The panel, PMG/ARDL technique, is used as the econometric model to achieve the study’s cointegration of long-run and short-run empirical objectives. The findings of this study conducted in an emerging economy indicate a significant cointegration between the financial instability indicators in the model and the financial stability of banks. In the PMG impact analysis, it is observed that the indicators of total domestic loan volume, credit risk premium and non-performing loan ratio reduce the stability of banks in the long run, while banks can successfully manage this situation by turning it into a positive in the short run. Finally, there is statistically significant evidence that the indicators that cause instability have a negative impact and a cointegrated relationship in the long run on the financial stability of banks, which play an important function in the economic system for both the real and financial services sectors. In this context, the evidence of the banking sector’s stability has implications for policymakers, academia, regulators and investors in the banking sector.

Keywords

Financial Instability, Public Banks, Financial Stability, PMG/ARDL

References

• Aboura, S. & B. van Roye (2017), “Financial Stress and Economic Dynamics: The Case of France”, International Economics, 149, 57-73.
• Acedański, J. & R. Karkowska (2022), “Instability Spillovers in the Banking Sector: A Spatial Econometrics Approach”, The North American Journal of Economics and Finance, 61, 101694.
• Ahsan, T. & M.A. Qureshi (2022), “The Impact of Islamic Banking Model and Islamic Financial Development on Bank Performance: Evidence from Dual Banking Economies”, International Journal of Islamic and Middle Eastern Finance and Management, 15(3), 602-625.
• Akaike, H. (1974), “A New Look at the Statistical Model Identification”, IEEE Transactions on Automatic Control, 19(6), 716-723.
• Akyol, S. & S. Varlık (2010), “Bir Küresel Kamu Malı Olarak Finansal İstikrar: Eleştirel Değerlendirmeler”, Ekonomik Yaklaşım, 21(75), 141-162.
• Al-Khazali, O.M. & A. Mirzaei (2017), The Impact of Oil Price Movements on Bank Non-Performing Loans: Global Evidence from Oil-Exporting Countries”, Emerging Markets Review, 31, 193-208.
• Allen, A.A. & G. Wood (2006), “Defining and Achieving Financial Stability”, Journal of Financial Stability, 2, 152-172.
• Angelini, P. (2018). “Do High Levels of NPLs Impair Banks’ Credit Allocation”, Notes on Financial Stability and Supervision, 12, 1-9.
• Atellu, A.R. et al. (2021), “Do Bank Regulations Matter for Financial Stability? Evidence from a Developing Economy”, Journal of Financial Regulation and Compliance, 29(5), 514-532.
• Balakrishnan, R. et al. (2011), “The Transmission of Financial Stress from Advanced to Emerging Economies”, Emerging Markets Finance and Trade, 47(sup2), 40-68.
• BDDK (2023), Aylık Bankacılık Sektörü Verileri (Temel Gösterim), <https://www.bddk.org.tr/BultenAylik>, 10.05.2023.
• Beck, T. et al. (2013), “Bank Competition and Stability: Cross-Country Heterogeneity”, Journal of Financial Intermediation, 22(2), 218-244.
• Bolognesi, E. et al. (2020), “Non-Performing Loans and the Cost of Deleveraging: The Italian Experience”, Journal of Accounting and Public Policy, 39(6), 106786.
• Bomfim, A.N. (2022), “Credit Default Swaps”, Finance and Economics Discussion Series 2022-023, Washington: Board of Governors of the Federal Reserve System, 1-25, <https://ssrn.com/abstract=4108364>, 25.04.2023.
• Boyd, J.H. & D.E. Runkle (1993), “Size and Performance of Banking Firms: Testing the Predictions of Theory”, Journal of Monetary Economics, 31(1), 47-67.
• Boyd, J.H. & S.L. Graham (1986), “Risk, Regulation, and Bank Holding Company Expansion into Nonbanking”, Quarterly Review, 10(2), 2-17.
• Breusch, T.S. & A.R. Pagan (1980), “The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics”, The Review of Economic Studies, 47(1), 239-253.
• Bumin, M. (2009), “Kamu Bankalarının Yeniden Yapılandırılması ve Sonuçları”, Bankacılar Dergisi, 70, 18-36.
• Carlson, M. et al. (2014), “Using Policy Intervention to Identify Financial Stress”, International Journal of Finance & Economics, 19(1), 59-72.
• Čihák, M. & H. Hesse (2010), “Islamic Banks and Financial Stability: An Empirical Analysis”, Journal of Financial Services Research, 38(2), 95-113.
• Clark, B. et al. (2023), “Credit Default Swaps and Debt Specialization”, Journal of Financial Intermediation, 54, 101029.
• Cornett, M.M. et al. (2011), “Liquidity Risk Management and Credit Supply in the Financial Crisis”, Journal of Financial Economics, 101(2), 297-312.
• Coşar, K. & N. Köse (2019), “Zamanla Değişen Parametreli Geliştirilmiş Taylor Kuralı: Türkiye için Finansal İstikrarın Rolü”, İstanbul Gelişim Üniversitesi Sosyal Bilimler Dergisi, 6(1), 1-17.
• De Nicolo, M.G. et al. (2006), “Bank Risk-Taking and Competition Revisited: New Theory and New Evidence”, IMF Working Paper WP/06/297.
• Diamond, D.W. & P.H. Dybvig (1983), “Bank Runs, Deposit Insurance, and Liquidity”, Journal of Political Economy, 91(3), 401-419.
• Diamond, D.W. & R.G. Rajan (2001), “Liquidity Risk, Liquidity Creation, and Financial Fragility: A Theory of Banking”, Journal of Political Economy, 109(2), 287-327.
• Dickey, D.A. & W.A. Fuller (1979), “Distribution of the Estimators for Autoregressive Time Series with a Unit Root”, Journal of the American Statistical Association, 74(366a), 427-431.
• Ece, O. & B.D. Çadırcı (2022), “Kredi Portföy Yoğunlaşma Düzeyinin Finansal İstikrar ve Performans Üzerine Etkisi: İkili Bankacılık Sisteminde Karşılaştırmalı Bir Analiz”, İktisat Politikası Araştırmaları Dergisi, 9(2), 523-556.
• Eichengreen, B. et al. (1996), “Contagious Currency Crises”, NBER Working Paper 5681, National Bureau of Economic Research.
• Ekinci, R. & R. Kök (2020), “Avrupa Birliği Bankacılık Endüstrisinde Rekabet ve İstikrar İlişkisi: Ticari Bankalar Üzerine Bir Deneme”, İzmir İktisat Dergisi, 35(4), 879-894.
• Elekdağ, S. et al. (2010), “Finansal Stres ve İktisadi Faaliyet”, Central Bank Review, 10(2), 1-8.
• Geršl, A. & J. Seidler (2010), “Excessive Credit Growth as an Indicator of Financial (in) Stability and Its Use in Macroprudential Policy”, CNB Financial Stability Report, 2010/2011, 112-122.
• Ghosh, A. (2015), “Banking-Industry Specific and Regional Economic Determinants of Non-Performing Loans: Evidence from US States”, Journal of Financial Stability, 20, 93-104.
• Ghosh, A. (2017), “Sector-Specific Analysis of Non-Performing Loans in the US Banking System and Their Macroeconomic Impact”, Journal of Economics and Business, 93, 29-45.
• Göker, Z. (2009), “Küresel Kamusal Bir Mal: Finansal İstikrar”, Akdeniz İ.İ.B.F. Dergisi, (17), 7-22.
• Hair, J. et al. (1995), Multivariate Data Analysis (3rd ed), New York: Macmillan.
• Hakkio, C.S. & W.R. Keeton (2009), “Financial Stress: What is it, How can it be Measured, and Why Does it Matter”, Economic Review, 94(2), 5-50.
• Hannan, T.H. & G.A. Hanweck (1988), “Bank Insolvency Risk and the Market for Large Certificates of Deposit”, Journal of Money, Credit and Banking, 20(2), 203-211.
• Hoque, H. & H. Liu (2023), “Impact of Bank Regulation on Risk of Islamic and Conventional Banks”, International Journal of Finance & Economics, 28, 1025-1062.
• Illing, M. & Y. Liu (2003), “An Index of Financial Stress for Canada”, Bank of Canada Working Papers No.14.
• Im, K.S. et al. (2003), “Testing for Unit Roots in Heterogeneous Panels”, Journal of Econometrics, 115(1), 53-74.
• Investing (2023), Türkiye CDS 3 Yıllık, <https://tr.investing.com/rates-bonds/turkey-cds-3-years-usd-historical-data>, 18.05.2023.
• Ionescu, C. (2012), “The Herd Behavior and The Financial Instability”, Annals of the University of Petroşani, Economics, 12(1), 129-140.
• Johansen, S. (1995), Likelihood-Based Inference in Cointegrated Vector Autoregressive Models, New York: Oxford University Press.
• Kaminsky, G. et al. (1998), “Leading Indicators of Currency Crises”, Staff Papers, 45(1), 1-48.
• Kao, C. (1999), “Spurious Regression and Residual-Based Tests for Cointegration in Panel Data”, Journal of Econometrics, 90(1), 1-44.
• Korkmaz, Ö. & R. Yamak (2015), “Minsky Finansal İstikrarsızlık Hipotezi ve Türkiye Örneği”, Anadolu Üniversitesi Sosyal Bilimler Dergisi, 15(3), 51-70.
• Krkoska, L. (2001), Assessing Macroeconomic Vulnerability in Central Europe”, Post-Communist Economies, 13(1), 41-55.
• Krugman, P. (1979), “A Model of Balance-of-Payments Crises”, Journal of Money, Credit and Banking, 11(3), 311-325.
• Laeven, L. & R. Levine (2009), “Bank Governance, Regulation and Risk Taking”, Journal of Financial Economics, 93(2), 259-275.
• Lepetit, L. & F. Strobel (2013), “Bank Insolvency Risk and Time-Varying Z-Score Measures”, Journal of International Financial Markets, Institutions and Money, 25, 73-87.
• Lepetit, L. & F. Strobel (2015), “Bank Insolvency Risk and Z-Score Measures: A Refinement”, Finance Research Letters, 13, 214-224.
• Levin, A. et al. (2002), “Unit Root Tests in Panel Data: Asymptotic and Finite-Sample Properties”, Journal of Econometrics, 108(1), 1-24.
• Liu, Y. & B. Morley (2012), “Sovereign Credit Default Swaps and the Macroeconomy”, Applied Economics Letters, 19(2), 129-132.
• Longstaff, F.A. et al. (2007), “How Sovereign is Sovereign Credit Risk?”, NBER Working Paper No. 13658.
• Louhichi, A. et al. (2020), “The Regulations-Risk Taking Nexus under Competitive Pressure: What about the Islamic Banking System?”, Research in International Business and Finance, 51, 101074.
• Marois, T. (2022), “A Dynamic Theory of Public Banks (and Why it Matters)”, Review of Political Economy, 34(2), 356-371.
• Menicucci, E. & G. Paolucci (2022), “Gender Diversity and Bank Risk-Taking: An Empirical Investigation in Italy”, Corporate Governance: The International Journal of Business in Society, 22(2), 317-339.
• Midi, H. et al. (2010), “Collinearity Diagnostics of Binary Logistic Regression Model”, Journal of Interdisciplinary Mathematics, 13(3), 253-267.
• Mishkin, F.S. (1997), “The Causes And Propagation of Financial Instability: Lessons for Policy Makers”, in: Proceedings-Economic Policy Symposium-Jackson Hole (55-96), Federal Reserve Bank of Kansas City.
• Miynat, M. et al. (2010), “Bir Küresel Dışsal Maliyet Örneği Olarak Finansal İstikrarsızlıklarla Mücadele Yöntemleri”, Maliye Dergisi, 159, 119-136.
• Naifar, N. (2020), “What Explains the Sovereign Credit Default Swap Spreads Changes in the GCC Region?”, Journal of Risk and Financial Management, 13(10), 245.
• Newey, W.K. & K.D. West (1994), “Automatic Lag Selection in Covariance Matrix Estimation”, The Review of Economic Studies, 61(4), 631-653.
• Odugbesan, J.A. & H. Rjoub (2019), “Relationship among HIV/AIDS Prevalence, Human Capital, Good Governance, and Sustainable Development: Empirical Evidence from Sub-Saharan Africa”, Sustainability, 11(5), 1348.
• Odugbesan, J.A. & H. Rjoub (2020), “Evaluating HIV/Aids Prevalence and Sustainable Development in Sub-Saharan Africa: The role of Health Expenditure”, African Health Sciences, 20(2), 568-578.
• Pedroni, P. (1999), “Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors”, Oxford Bulletin of Economics and Statistics, 61(S1), 653-670.
• Pesaran, M.H. & R. Smith (1995), “Estimating Long-Run Relationships from Dynamic Heterogeneous Panels”, Journal of Econometrics, 68(1), 79-113.
• Pesaran, M.H. (2007), “A Simple Panel Unit Root Test in the Presence of Cross‐Section Dependence”, Journal of Applied Econometrics, 22(2), 265-312.
• Pesaran, M.H. (2021), “General Diagnostic Tests for Cross-Sectional Dependence in Panels”, Empirical Economics, 60(1), 13-50.
• Pesaran, M.H. et al. (1997), Pooled Estimation of Long-Run Relationships in Dynamic Heterogeneous Panels, <https://www.econ.cam.ac.uk/people-files/emeritus/mhp1/jasaold.pdf>, 10.05.2023.
• Pesaran, M.H. et al. (1999), “Pooled Mean Group Estimation of Dynamic Heterogeneous Panels”, Journal of the American Statistical Association, 94(446), 621-634.
• Potters, C. & T. Li, (2023), Variance Inflation Factor (VIF), <https://www.investopedia.com/terms/v/variance-inflation-factor.asp>, 02.08.2023.
• Qiu, L. et al. (2022), “Impact of Credit Default Swaps on Firms’ Operational Efficiency”, Production and Operations Management, 31(9), 3611-3631.
• Saliba, C. et al. (2023), “Does Country Risk Impact the Banking Sectors’ Non-Performing Loans? Evidence from BRICS Emerging Economies”, Financial Innovation, 9(1), 1-30.
• Samet, A. et al. (2018), “Does Public-Private Status Affect Bank Risk Taking? Worldwide Evidence”, Journal of International Financial Markets, Institutions and Money, 53, 287-306.
• Schinasi, G.J. (2004), “Defining Financial Stability”, IMF Working Paper WP/04/187.
• Steiner, K. (2012), “Households’ Exposure to Foreign Currency Loans in Cesee Eu Member States and Croatia”, Focus on European Economic Integration No. Q1/11, 6-24, <https://ssrn.com/abstract=1981910>, 10.05.2023.
• Tabak, B.M. & R.B. Staub (2007), “Assessing Financial Instability: The Case of Brazil”, Research in International Business and Finance, 21, 188-202.
• The Basel Committee on Banking Supervision (2010), Consultative Document: Countercyclical Capital Buffer Proposal, <https://www.bis.org/publ/bcbs172.pdf> 13.05.2023.
• Tokucu, E. (2012), “Hyman Minsky’nin Finansal İstikrarsızlık Hipotezi Çerçevesinde Finansal Krizler ve Çözüm Önerileri”, Ankara Üniversitesi SBF Dergisi, 67(2), 189-212.
• Tunalı-Sarı, H.N. (2023), “Finansal İstikrar ile Finansal Regülasyon Arasındaki İlişkinin Katılım Bankacılığı ve Geleneksel Bankacılık Perspektifinden Değerlendirilmesi: Türkiye İçin Bir Analiz”, Doktora Tezi, Bursa Uludağ Üniversitesi Sosyal Bilimler Enstitüsü.
• Uçarkaya, S. (2006), “Kamu Bankalarının Bankacılık Sistemindeki Rolü”, Uzmanlık Yeterlilik Tezi, T.C. Merkez Bankası Bankacılık ve Finansal Kuruluşlar Genel Müdürlüğü, Ankara.
• Vermeulen, R. et al. (2015), “Financial Stress Indices and Financial Crises”, Open Economies Review, 26, 383-406.
• Wyplosz, C. (1998), International Financial Instability, <https://www.researchgate.net/profile/CharlesWyplosz/publication/242484653_International_Financial_Instability/links/02e>, 18.05.2023.
• Yıldırım, Y. (2017), “Küresel Kamusal Mal Olarak Finansal İstikrar Kavramı”, Sinop Üniversitesi Sosyal Bilimler Dergisi, I(2), 325-344.
• Yılmaz, T. & Ö.U. Bulut (2022), “İktisadi ve İdari Bilimlerde Akademik Analiz ve Tartışmalar”, içinde: M. Göl & O. Özevin (eds.), Belirsizliğin Spekülatif Baskı Endeksi Üzerindeki Asimetrik Etkisi: Türkiye Örneği (2005-2022) (151-181), Gaziantep: Özgür Yayınları.
• Yin, H. (2019), “Bank Globalization and Financial Stability: International Evidence”, Research in International Business and Finance, 49, 207-224.