Published date: Sep 28 2022

Journal Title: KnE Social Sciences

Issue title: 4th International Conference on Education and Social Science Research (ICESRE)

Pages: 780–789

DOI: 10.18502/kss.v7i14.12031

Fitri Susilowatifitri.susilowati82@gmail.comFaculty of Business, Universitas PGRI Yogyakarta

Hari PurnamaFaculty of Business, Universitas PGRI Yogyakarta

COVID-19 has had an impact on banking, liquidity and credit. The Financial Services Authority (OJK) has tried to mitigate some of these effects with countercyclical policies as stated in OJK regulation number 11/POJK.03/2020. It is however unclear whether the policy can reduce banking risk in the midst of easing or relaxation policies. This research employed secondary data taken from the Indonesian banking statistics published by OJK. Indicators of bank performance used in the study referred to the policies of the OJK and comprised: capital adequacy ratio, core capital ratio to riskweighted asset, return on assets ratio, operational efficiency ratio, net interest margin ratio, loans to deposits ratio, and liquid assets ratio. The performance index analysis was divided into two periods: January 2017- February 2020 and March 2020 - February 2021. The period was divided to determine the quality of bank performance before and after the stipulation of restructuring policy. The index calculation was carried out by determining the weight based on the dimensions (bank performance indicators). The weight given to each of these indicators was conformed to all indicators. The analysis of the bank performance used the composite index of development calculation. Based on the results, the availability of bank capital affected financial performance. The implementation of countercyclical policies had an impact on bank performance in banks that had greater availability of capital. Banks can evaluate and improve strategies in countercyclical implementation to support national economic recovery.

Keywords: core capital, CAR, CCR to RWA, ROA, OER, NIMR, LDR

[1] Bruin YB, Lequarre AS, McCourt J et al. Initial impacts of global risk mitigation measures taken during the combatting of the COVID-19 pandemic. Safety Science. 2020;128(1);1-8

[2] Kuckertz A, Brändle L, Gaudig A et al. Startups in times of crisis–A rapid response to the COVID-19 pandemic. Journal of Business Venturing Insights. 2020;13(1);1-13

[3] Djalante R, Lassa J, Setiamarga D et al. Review and analysis of current responses to COVID-19 in Indonesia: Period of January to March 2020. Progress in Disaster Science. 2020;6(1);1-9

[4] M. Nicola, Z. Alsafi, C. Sohrabi, et al., “The socio-economic implications of the coronavirus pandemic (COVID-19): A review.,” International Journal of Surgery. vol. 78, no. 1, pp. 185–193, 2020

[5] D. E. BLOOM, D. CADARETTE, and J. SEVILLA, “The Economic Risks and Impacts of Epidemics,” IMF F&D Magazine, Washington, pp. 46–49, 2018.

[6] O. Haroon and S.A.R. Rizvi, “COVID-19: Media coverage and financial markets behavior—A sectoral inquiry.,” Journal of Behavioral and Experimental Finance. vol. 27, no. 1, pp. 1–8, 2020

[7] Karadima M, Louri H. Economic policy uncertainty and non-performing loans: The moderating role of bank concentration. Finance Research Letters. 2021;38(1):1-10. https://doi.org/10.1016/j.frl.2020.101458

[8] Louhichi and Y. Boujelbene, “Credit risk pricing and the rationality of lending decision-making within dual banking systems: A parametric approach.,” Economic Systems. vol. 44, no. 1, pp. 1–10, 2020.

[9] E. Brancaccio, A. Califano, M. Lopreite, and A. Moneta, “Nonperforming loans and competing rules of monetary policy: A statistical identification approach.,” Structural Change and Economic Dynamics. vol. 53, no. June, pp. 127–136, 2020

[10] G. Chortareas, G. Magkonis, and K.-M. Zekente, “Credit risk and the business cycle: What do we know?,” International Review of Financial Analysis. vol. 67, no. 1, pp. 1–10, 2020

[11] De Vito and J.-P. Gómez, “Estimating the COVID-19 cash crunch: Global evidence and policy.,” Journal of Accounting and Public Policy. vol. 39, no. 2, pp. 1–14, 2020

[12] Ghenimi A, Chaibi H, Omri MA. The effects of liquidity risk and credit risk on bank stability: Evidence from the MENA region. Borsa Istanbul Review. 2017;17(4):238-248. https://doi.org/10.1016/j.bir.2017.05.002

[13] S. Mutarindwa, D. Schäfer, and A. Stephan, “The impact of liquidity and capital requirements on lending and stability of African banks.,” Journal of International Financial Markets, Institutions and Money. vol. 67, no. July, pp. 1–10, 2020.

[14] J. Betz, S. Krüger, R. Kellner, and D. Rösch, “Macroeconomic effects and frailties in the resolution of non-performing loans.,” Journal of Banking & Finance. vol. 112, no. March, pp. 1–10, 2020

[15] M. Rubio, “Cross-country spillovers from macroprudential regulation: Reciprocity and leakage.,” Journal of International Money and Finance. vol. 103, no. May, pp. 1–10, 2020

[16] L. Pfeifer and M. Hodula, “A profit-to-provisioning approach to setting the countercyclical capital buffer.,” Economic Systems. vol. 45, no. 1, pp. 1–10, 2021

[17] M. Rubio and F. Yao, “Bank capital, financial stability and Basel regulation in a low interest-rate environment.,” International Review of Economics & Finance. vol. 67, no. May, pp. 378–392, 2020

[18] W.J. Tayler and R. Zilberman, “Macroprudential regulation, credit spreads and the role of monetary policy.,” Journal of Financial Stability. vol. 26, no. October, pp. 144–158, 2016

[19] J.-F. Martínez, M.U. Peiris, and D.P. Tsomocos, “Macroprudential policy analysis in an estimated DSGE model with a heterogeneous banking system: An application to Chile.,” Latin American Journal of Central Banking. vol. 1, no. 1–4, pp. 1–36, 2020

[20] S. Bekiros, R. Nilavongse, and G.S. Uddin, “Bank capital shocks and countercyclical requirements: Implications for banking stability and welfare.,” Journal of Economic Dynamics and Control. vol. 93, no. August, pp. 315–331, 2018

[21] E. Jokivuolle, J. Pesola, and M. Viren, “Why is credit-to-GDP a good measure for setting countercyclical capital buffers?,” Journal of Financial Stability. vol. 18, no. June, pp. 117–126, 2015

[22] Gonzalez RB, Marinho LS. Re-anchoring countercyclical capital buffers: Bayesian estimates and alternatives focusing on credit growth. International Journal of Forecasting. 2017;33(4):1007-1024. https://doi.org/10.1016/j.ijforecast.2017. 04.006

[23] J. Benes and M. Kumhof, “Risky bank lending and countercyclical capital buffers.,” Journal of Economic Dynamics and Control. vol. 58, no. September, pp. 58–80, 2015

[24] V. V. Acharya, A.N. Berger, and R.A. Roman, “Lending implications of U.S. bank stress tests: Costs or benefits?,” Journal of Financial Intermediation. vol. 34, no. April, pp. 58–90, 2018

[25] P. Kynčlová, S. Upadhyaya, and T. Nice, “Composite index as a measure on achieving Sustainable Development Goal 9 (SDG-9) industry-related targets: The SDG-9 index.,” Applied Energy. vol. 265, no. May, pp. 1–14, 2020

[26] T.V.H. Nguyen, S. Ahmed, T. Chevapatrakul, and E. Onali, “Do stress tests affect bank liquidity creation?,” Journal of Corporate Finance. vol. 64, no. October, pp. 1–22, 2020

[27] Fernández, A. Rebucci, and M. Uribe, “Are capital controls countercyclical?,” Journal of Monetary Economics. vol. 76, no. November, pp. 1–14, 2015

[28] F. Ben Bouheni and A. Hasnaoui, “Cyclical behavior of the financial stability of eurozone commercial banks.,” Economic Modelling. vol. 67, no. December, pp. 392– 408, 2017

[29] C. Bustamante and F. Hamann, “Countercyclical reserve requirements in a heterogeneous-agent and incomplete financial markets economy.,” Journal of Macroeconomics. vol. 46, no. December, pp. 55–70, 2015

[30] M. Guerguil, P. Mandon, and R. Tapsoba, “Flexible fiscal rules and countercyclical fiscal policy.,” Journal of Macroeconomics. vol. 52, no. June, pp. 189–220, 2017 DOI