• Denny Irawan
  • Febrio Kacaribu
Keywords: Business Cycle Risk, Credit Cycle, Bank Lending, Financial Risk


The previous financial crisis has revealed the importance of risk in the financial and business cycle within the economy. This paper examines relationship among three cycles in the economy, namely (i) business cycle macro risk, (ii) credit cycle and (iii) risk cycle, and their impacts toward individual bank performance. We examine the responses of individual bank credit cycle and risk cycle toward a shock in business cycle macro risk and its consequence to the bank performance. We use Indonesian data for period of 2005q1 to 2014q4. We use unbalanced panel data of individual banks’ balance sheet with Panel Vector Autoregressive approach based on GMM style estimation by implementing PVAR package developed by Abrigo and Love (2015). The result shows dynamic relationship between business cycle macro risk and financial risk cycles. The study also observes prominent role of risk cycles in driving bank performance. We also show the existence of financial accelerator phenomenon in Indonesian banking system, in which financial cycles precede the business cycle macro risk.


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Abrigo, Michael and Love, Inessa. (2015). Estimation of Panel Vector Autoregression in Stata:
a Package of Programs. University of Hawaii Working Paper.
Acharya, V., & Naqvi, H. (2012). The Seeds of a Crisis: A Theory of Bank Liquidity and Risk Taking
Over the Business Cycle. Journal of Financial Economics, 106, 349-366.
Arellano, M., & Bond, S. (1992). Some Tests of Specification for Panel Data: Monte Carlo Evidence
and Application to Employment Equations. Review of Economics Studies, 58, 277-297.
Baltagi, B. H. (n.d.). Econometric Analysis of Panel Data (Vol. 3). West Sussex, England: John
Wiley & Sons Ltd.
Bank for International Settlement. (2017, January 3). Basel Committee for Banking Supervision.
Retrieved from BIS Website:
Bernanke, S. B., Gertler, M., & Gilchrist, S. (1999). The Financial Accelerator in a Quantitative
Business Cycle Framework. In J. B. Taylor, & M. Woodford, Handbook of Macroeconomics
(Vol. 1, pp. 1341-1393). Elsevier Science B.V.
Bertay, A. C., Demirguc-Kunt, A., & Huizinga, H. (2015). Bank Ownership and Credit Over the
Business Cycle: Is Lending by State Banks Less Procyclical? Journal of Banking and Finance,
50, 326-339.
Blundell, R., & Bond, S. (1998). Initial Conditions and Moment Restrictions in Dynamic Panel
Data Models. Journal of Econometrics, 87, 115-143.
Burns, A. F., & Mithcell, W. C. (1946). Measuring Business Cycle. In N. B. (NBER), Studies in
Business Cycles. New York.
Cameron, A. Colin and Trivedi, Pravin K. (2009). Microeconometrics Using Stata. Texas:
StataCorp LP.
Canova, Fabio and Ciccarelli, Matteo. (2013). Panel Vector Autoregressive Models: A Survey.
European Central Bank Working Paper Series No 1507 / January 2013.
Federal Deposit Insurance Company. (2017, January 3). FDIC. Retrieved from FDIC: https://
Ferri, G., Kalmi, P., & Kerola, E. (2014). Does Bank Ownership Affect Lending Behavior? Evidence
from the Euro Area. Journal of Banking and Finance, 48.
Glen, J., & Mondragon-Velez, C. (2011). Business Cycle Effecs on Commercial Bank Loan
Portfolio Performance in Developing Economies. Review of Development Finance, 150-165.
Guidara, A., Lai, V. S., Soumare, I., & Tchana, T. F. (2013). Banks’ Capital Buffer, Risk and
Performance in the Canadian Banking System: Impact of Business Cycles an Regulatory
Changes. Journal of Banking and Finance, 3373-3387.
Gujarati, D. N., & Porter, D. C. (2009). Basic Econometrics (Vol. 5). Boston: McGraw-Hill Irwin.
Ibrahim, M. H. (2016). Business Cycle and Bank Lending Procyclicality in a Dual Banking System.
Economic Modelling, 55.
Jacobs, J. (1998, February). Econometric Business Cycle Research: An Assessment of Method.
University of Groningen Working Paper.
Kiyotaki, N. (2011, September 1). A Perspective on Modern Bussiness Cycle Theory. FRB
Richmond Economic Quarterly, 97(3), pp. 195-208.
Kydland, F. E., & Prescott, E. C. (1982). Time to Build and Aggregate Fluctuations. Econometrica,
50, 1345-1370.
Minetti, R., & Peng, T. (2013). Lending Constraints, Real Estate Prices and Business Cycle in
Emerging Economies. Journal of Economic Dynamics and Control, 37.
Otoritas Jasa Keuangan. (2017). Surat Edaran OJK Nomor 11/SEOJK.03/2017 Tentang Prinsip
Kehati-hatian bagi Bank Umum yang Melakukan Penyerahan Sebagian Pelaksanaan
Pekerjaan kepada Pihak Lain.
Pramono, B., Hafidz, J., Adamanti, J., Muhajir, M. H., & Alim, M. S. (2015). Dampak Kebijakan
Countercyclical Buffer Terhadap Pertumbuhan Kredit di Indonesia. Working Paper Bank
Psillaki, M., & Mamatzakis, E. (2017). What Drives Bank Performance in Transitions Economies?
The Impact of Reforms and Regulations. Research in International Business and Finance,
Romer, D. (2012). Advanced Macroeconomics. New York: McGraw-Hill.
Tinbergen, J. (1940, February). Econometric Business Cycle Research. The Review of Economic
Studies, 7, 73-90.
Vithessonthi, C., & Tongurai, J. (2016). Financial Market Development, Business Cycle, and Bank
Risk in South America. Research in International Business and Finance, 472-484.
Winata, A., & Viverita. (2013). Analisis Pengaruh Struktur Pendapatan Bank terhadap Market-
Based Performance: Studi Empiris Bank yang Terdaftar pada Bursa Efek Indonesia Periode
2004-2012. Working Paper Fakultas Ekonomi dan Bisnis, Universitas Indonesia.
Windmeijer, F. (2005). A Finite Sample Correction for the Variance of Linear Efficient Two-Step
GMM Estimators. Journal of Econometrics, 126, 25-51.

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How to Cite
Irawan, D., & Kacaribu, F. (2017). TRI-CYCLES ANALYSIS ON BANK PERFORMANCE: PANEL VAR APPROACH. Buletin Ekonomi Moneter Dan Perbankan, 19(4), 403-442.