RISK-TAKING COMPARISON OF ISLAMIC AND CONVENTIONAL BANKS DURING COVID-19 PANDEMIC: INDONESIAN CASE STUDY
Keywords:
Bank risk-taking, Conventional banks, COVID-19 pandemic, Islamic banksAbstract
Indonesia adopts a dual banking system that is Islamic and Conventional which operate sides-by-side. There are 96 Conventional and 14 Islamic banks in Indonesia. During a pandemic, both banks use their strategies to maintain their performance. During Global Financial Crisis (GFC), conventional banks' risk-taking was less inclined when they were faced with lower funding liquidity risk while Islamic Banks tend to be more careful in taking more risk. However, it is unknown what impact will it have on banks in Indonesia during the COVID-19 pandemic. Using Islamic and Conventional banks data in Indonesia, this research analyzed using panel data regression finds that the presence of COVID-19 pandemic affects conventional and Islamic banks' risk-taking behavior, and both banks' risk-taking behavior was found to be different. It is also found that banks’ size has a positive correlation with banks’ risk-taking.
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References
Soldatos, G.T., In/Stability under Ideal Income Tax and Ideal Consumption Tax. Cuadernos de Economía, 2021. 44(125): p. 29-37.DOI: https://doi.org/10.32826/cude.v44i124.115.
Smaoui, H., et al., Funding liquidity risk and banks' risk-taking: Evidence from Islamic and conventional banks. Pacific-Basin Finance Journal, 2020. 64: p. 101436.
Talha, M., et al., Impact of Oil Prices, Energy Consumption and Economic Growth on the Inflation Rate in Malaysia. Cuadernos de Economía, 2021. 44(124): p. 26-32.
Moradi, S. and F.M. Rafiei, A dynamic credit risk assessment model with data mining techniques: evidence from Iranian banks. Financial Innovation, 2019. 5(1): p. 1-27.
Tomé, J.P.M., La acumulación de capital en la periferia. Una propuesta analítica desde la economia política. Cuadernos de Economía, 2020. 43(122): p. 119-130.
Dong, J., et al., Impact of internet finance on the performance of commercial banks in China.International Review of Financial Analysis, 2020. 72: p. 101579.
Bilgin, M.H., et al., Bank credit in uncertain times: Islamic vs. conventional banks. Finance Research Letters, 2021. 39: p. 101563.
Boubakri, N., et al., The stock liquidity of banks: A comparison between Islamic and conventional banks in emerging economies. Emerging Markets Review, 2019. 39: p. 210-224.
Meslier, C., T. Risfandy, and A. Tarazi, Islamic banks’ equity financing, Shariah supervisory board, and banking environments. Pacific-Basin Finance Journal, 2020. 62: p. 101354.
Valencia, G.A.D., Forms of informal financing of informal traders in Colombia Cases: Cúcuta, Ibagué and Villavicencio. Cuadernos de Economía, 2020. 43(123): p. 259-274.
Aysan, A.F., et al., Religiosity versus rationality: Depositor behavior in Islamic and conventional banks. Journal of Comparative Economics, 2018. 46(1): p. 1-19.
Vergara, R.M.A., Methodological approach to the quantitative evaluation of the carrying capacity of urban land: Bogotá (Colombia 2015). Cuadernos de Economía, 2020. 43(123): p. 291-304.
Spuchľáková, E., K. Valašková, and P. Adamko, The credit risk and its measurement, hedging and monitoring. Procedia Economics and finance, 2015. 24: p. 675-681.
Bulbula, D., H. Hakenes, and C. Lambert, What Influences Banks’ Choice of Credit Risk Management Practices. Theory and Evidence. 40: p. 1-14.
İncekara, A. and H. Çetinkaya, Credit risk management: A panel data analysis on the Islamic banks in Turkey. Procedia Computer Science, 2019. 158: p. 947-954.
Drehmann, M. and K. Nikolaou, Funding liquidity risk: definition and measurement. Journal of Banking & Finance, 2013. 37(7): p. 2173-2182.
Martín-Oliver, A., S. Ruano, and V. Salas-Fumás, How does bank competition affect credit risk? Evidence from loan-level data. Economics Letters, 2020. 196: p. 109524.
Cheng, M. and Y. Qu, Does bank FinTech reduce credit risk? Evidence from China. Pacific-Basin Finance Journal, 2020. 63: p. 101398.
Sudrajad, O.Y. and G. Hübner, Empirical evidence on bank market power, business models, stability and performance in the emerging economies. Eurasian Business Review, 2019. 9(2): p. 213-245.
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