Stability Measurement of Dual Banking System in Indonesia: Markov Switching Approach

Siti Fatimah Zahra, A Ascarya, Nurul Huda

Abstract


Various macro and microeconomic shocks that occur during this time suggest the potential for financial instability. This study attempts to analyze the influence of macro and microeconomic variables of the dual banking stability in Indonesia and compares the stability level of both banking system by using two similar stability measurement models namely the Z-score and Banking Stability Index. The method used in this is a Markov Switching VAR. The results of this study described through two analyze: First, the calculation index of financial stability with Z-score and BSI. Second, results of Markov-Switching prove that the sharia banking system has a higher level of stability compared to the conventional banking system. It means sharia banking is more stable than conventional ones.

DOI: 10.15408/aiq.v10i1.5867

 


Keywords


banking stability; dual banking system; Markov switching method

References


Abiad, A. (2003). Early Warning Systems: A Survey and A regime Switching Approach. IMF Working Papers WP/03/32.

Altaee, H, I. & M. Adam. (2013). Testing the Financial Stability of Banks in GCC Countries: Pre and Post Financial Crisis. International Journal of Business and Social Research. 3 (4) : 93 – 105.

Anisak, N. (2010). Analisa Pengaruh Variabel Makroekonomi Terhadap Stabilitas Perbankan Ganda di Indonesia (Analysis The Effect of Macroeconomic Variables to Dual Banking Stability in Indonesia). (Unpublished Thesis). Bogor : Sekolah Tinggi Ekonomi Islam Tazkia.

Ascarya & D. Yumanita. (2009). Formulasi Indeks Stabilitas Keuangan dan Peran Perbankan Syariah Dalam Sistem Keuangan Ganda di Indonesia (The Formulation of Financial Stability Index and The Role of Islamic Banking in The Indonesian Dual Banking System). Bank Indonesia Working Paper Series 11/2009, PPSK Bank Indonesia.

Čihák, M. & H. Hesse. (2008). Islamic Banks and Financial Stability: An Empirical Analysis, IMF Working Paper WP/08/16.

Djaman, D. (2005). Faktor-faktor yang mempengarhi outstanding kredit dan rasio outstanding non lancar KUK BNI (The Factors That Influence Credit Outstanding and Default Outstanding Ratio of KUK in BNI). (Unpublished Thesis). Jakarta: Universitas Indonesia.

Elbadri, M. (2015). Measuring The Financial Stability of Islamic and Conventional Banks in Turkey. (Unpublished Thesis). North Cyprus : Eastern Mediterranean University.

Ghosh, S. (2011). A Simple Index of Banking Fragility: Application to Indian Data: Reserve Bank of India, Mumbai, India. The Journal of Risk Finance. 12 (2): 112-120.

Houben, A., J. & G. Schinasi. (2004). Toward A Framework For Safeguarding Financial Stability. IMF Working Papers No. WP/04/101, International Capital Markets Department, Washington DC : IMF.

Ichsan, N. (2012). Analisis Stabilitas Perbankan Ganda Di Indonesia Terhadap Guncangan Variabel Makroekonomi : Pendekatan Banking Stability Index Pada Periode Tahun 2005 – 2011 (Analysis of Dual Banking Stability in Indonesia to Macroeconomic Variables Shock: The Approach of Banking Stability Index in Period 2005 – 2011). (Unpublished Thesis). Bogor: STEI Tazkia.

Iskenderoğlu, O. & S. Tomak. (2013). Competition and Stability: An Analysis of the Turkish Banking System. International Journal of Economics and Financial Issues. 3 (3): 752-762.

Iqbal, Z. (1997). Islamic Financial System. Pakistan : Finance and Development.

Kočišová, K. (2014). Banking Stability Index: A Cross-Country Study. Faculty of Economics, Department of Banking and Investments. Košice 04001: 197 – 208. Slovakia: Technical University of Košice.

Krolzig, H. (2006). Impulse-Response Analysis In Markov Switching Vector Autoregressive Models. Economics Department, Canterbury: University Of Kent, Keynes College.

Kusuma, D.B. & J. Duasa. (2017). Building an Early Warning towards The Resilience of Islamic Banking in Indonesia. Al-Iqtishad: Jurnal Ilmu Ekonomi Syariah (Journal of Islamic Economics). 9 (1): 13-32.

Laeven, L. dan Valencia F. (2012). Systemic Banking Crises Database: An Update. IMF Working Paper. WP/12/163.

Levine, R. (2004). Finance and Growth, Theory and Evidence. Working Paper 10766. National Bureau of Economic Research.

Nasution, A. (2003). Masalah-Masalah Sistem Keuangan dan Perbankan Indonesia, Stabilitas Sistem Keuangan : Urgensi, Implikasi Hukum, dan Agenda Ke depan (The Problems in the Indonesia Financial and Banking System, Financial Stability System: Urgency, Legal Implication & The Forthcoming Agenda). Proceeding Seminar Pembangunan Hukum Nasional VIII. Jakarta: Departemen Kehakiman dan HAM RI.

Nurfalah, I. (2015). Deteksi Dini Krisis Perbankan Pada Sistem Keuangan Ganda Di Indonesia: Pendekatan Markov Switching (Early Detection of Banking Crisis in Dual Financial System: The Markov Switching Approach). (Unpublished Thesis). Bogor: STEI Tazkia.

Permatasari, H. (2014). Pemodelan Markov Switching Vector Autoregressive (The Modelling of Markov Switching Vector Autoregressive). (Unpublished Thesis). Semarang : Universitas Diponegoro.

Rahim, S. & R. Zakaria. (2013). Comparison on Stability Between Islamic and Conventional Banks in Malaysia. Journal of Islamic Economics, Banking and Finance. 9 (3): 131 – 149.

Rajhi, W. & A.H. Slim. (2013). Islamic Banks And Financial Stability: A Comparative Empirical Analysis Between Mena And Southeast Asian Countries. Région Et Développement. 37: 150 – 177.

Schinasi, G. (2004). Defining Financial Stability. WP/04/187. Working Paper.

Segoviano, A & C. Goodhart. (2009). Banking Stability Measures. IMF Working Paper.

Shayegani, B. & M.A. Arani. (2012). A Study on the Instability of Banking Sector in Iran Economy. Australian Journal of Basic and Applied Sciences. 6 (1): 213-221.

Simorangkir, I. (2012). Kajian Indikator Peringatan Dini Bank Runs Di Indonesia: Pendekatan Markov-Switching (The Studies of Early Warning System of Bank Runs in Indonesia: The Markov Switching Approach). Working Paper Bank Indonesia.

Swamy, V. (2014). Testing The Interrelatedness Of Banking Stability Measures. Journal of Financial Economic Policy. 6 (1): 25-45.

Untoro., R. Priyo. & A. Widodo. (2014). Kajian Penggunaan Instrumen Sistem Pembayaran Sebagai Leading Indicator Makroekonomi (The Review of The Use of Payment Instruments as Macroeconomic Leading Indicators). Wp/6/2014 Working Paper Bank Indonesia.

Zeman, J. & P. Jurca. (2008). Macro Testing of the Slovak Banking Sector. National Bank of Slovakia Working Paper 1/2008.


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