Abstract
This study aims to identify banking vulnerabilities and analyze the factors that influence them. The tool used to identify bank vulnerabilities uses modification crisis and default index (C&D Index) while hypothesis testing uses logit regression. Commercial banks in Indonesia from 2008 to 2018 was taken as sample. As a result, in 2008 and 2013 were the most vulnerable conditions for banks in Indonesia. The reason most banks have been identified as vulnerable is due to decreased profits, increased liabilities in foreign currencies and increased Non Performing Loan (NPL). Logit regression test show that banking fragility is negatively related to capital, liquid assets, and financial assets.
Bahasa Abstract
Penelitian ini bertujuan untuk mengidentifikasi kerentanan perbankan dan menguji faktor yang diduga memengaruhinya. Kerentanan bank diidentifikasi menggunakan modifikasi crisis and default index (C&D Index), sedangkan pengujian hipotesis menggunakan regresi logit. Sampel penelitian ini adalah 27 bank komersil di Indonesia periode 2008 sampai 2018. Hasilnya, tahun 2008 dan 2013 adalah kondisi yang paling rentan bagi perbankan di Indonesia. Penyebab sebagian besar bank teridentifikasi rentan adalah karena penurunan profit, peningkatan pinjaman dalam mata uang asing, dan peningkatan Non Performing Loan (NPL). Hasil uji regresi logit menunjukkan kerentanan perbankan di Indonesia berhubungan negatif dengan permodalan bank, aset likuid bank, dan aset keuangan bank.
References
[1] Altman, E. I. (2000). Predicting financial distress of companies: revisiting the Z-score and ZETA models (Thesis, Stern School of Business New York).
[2] Baselga-Pascual, L., Trujillo-Ponce, A., & Cardone- Riportella, C. (2015). Factors influencing bank risk in Europe: Evidence from the financial crisis. The North American Journal of Economics and Finance, 34, 138-166. doi: https://doi.org/10.1016/j.najef.2015.08.004.
[3] Bhattacharya, B.,&Roy, T. N. S. (2009). Forewarning indicator system for banking crisis in India. Diakses 2 Februari 2016 dari https://papers.ssrn.com/sol3/papers.cfm?abstract id= 1906576.
[4] Boyacioglu,M. A., Kara, Y., & Baykan, O¨ . K. (2009). Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: A comparative analysis in the sample of savings deposit insurance fund (SDIF) transferred banks in Turkey. Expert Systems with Applications, 36(2), 3355-3366. doi: https: //doi.org/10.1016/j.eswa.2008.01.003.
[5] Caggiano, G., Calice, P., & Leonida, L. (2014). Early warning systems and systemic banking crises in low income countries: A multinomial logit approach. Journal of Banking & Finance, 47, 258-269. doi: https: //doi.org/10.1016/j.jbankfin.2014.07.002.
[6] Canicio, D., & Blessing, K. (2014). Determinants of bank failures in multiple-currency regime in Zimbabwe (2009–2012). International Journal of Economics and Finance, 6(8), 229-246. doi:10.5539/ijef.v6n8p229.
[7] Cole, R. A., & Wu, Q. (2009). Predicting bank failures using a simple dynamic hazard model. Conference paper. Proceedings of the 22nd Australasian Finance and Banking Conference 2009, pp. 16-18, Sydney 16-18 December, 2009.
[8] Dabos, M., & Sosa-Escudero, W. (2004). Explaining and predicting bank failure using duration models: The case of Argentina after the Mexican crisis. Revista de Analisis Econ´omico, 19(1), 31-49.
[9] Demirguc-Kunt, A., & Detragiache, E. (1998). The determinants of banking crises in developing and developed countries. IMF Staff Papers, 45(1), 81-109. doi: https: //doi.org/10.2307/3867330.
[10] Demirguc-Kunt, Detragiache, E., & Tressel, T. (2008). Banking on the principles: Compliance with Basel Core Principles and bank soundness. Journal Financial Intermediation, 17(4), 511–542. doi: https://doi.org/10.1016/j.jfi.2007.10.003.
[11] Eichengreen, B., & Arteta, C. (2000). Banking crises in emerging markets: Presumptions and evidence. Recent Work, Center for International and Development Economics Research, Institute of Business and Economic Research, UC Berkeley.
[12] Eichengreen, B., Rose, A., &Wyplosz, C. (1996). Contagious Currency Crises. NBER Working Papers, 5681. National Bureau of Economic Research. Diakses 15 Januari 2016 dari https://www.nber.org/papers/w5681.
[13] Gujarati, D. N., & Porter, D. C. (2009). Basic econometrics (5th Edition). McGraw-Hill.
[14] Kaminsky, G. L. (1999). Currency and banking crises: The early warnings of distress. IMF Working Paper WP/99/178. International Monetary Fund. Diakses 3 Maret 2016 dari https://asean.elibrary.imf.org/view/ IMF001/01461-9781451858938/01461-9781451858938/ 01461-9781451858938 A001.xml.
[15] Kane, E. J., & Klingebiel, D. (2004). Alternatives to blanket guarantees for containing a systemic crisis. Journal of Financial Stability, 1(1), 31-63. doi: https: //doi.org/10.1016/j.jfs.2004.06.002.
[16] Kibritcioglu, A. (2002). Excessive risk-taking, banking sector fragility, and banking crises. Office of Research Working Paper, 02-0114. University of Illinois at Urbana-Champaign, College of Business.
[17] Laeven, L., & Valencia, F. (2012). Systemic banking crises database: An update. IMF Working Paper WP/12/163. International Monetary Fund. Diakses 3 Maret 2016 dari https://www.imf.org/en/Publications/WP/Issues/2016/12/ 31/Systemic-Banking-Crises-Database-An-Update-26015.
[18] Lestano, Jacobs, J. & Kuper, G. H.. (2003). Indicators of financial crises do work! An early-warning system for six Asian countries. University of Groningen. Diakses 20 Februari 2016 dari https://www.rug.nl/research/portal/publications/ indicators-of-financial-crises-do-work(aad06c49-1d69-415e- 95de-55740efb2e54).html.
[19] Mannasoo, K., & Mayes, D. G. (2009). Explaining bank distress in Eastern European transition economies. Journal of Banking & Finance, 33(2), 244-253. doi: https: //doi.org/10.1016/j.jbankfin.2008.07.016.
[20] Mayes, D. G. (2004). Who pays for bank insolvency?. Journal of International Money and Finance, 23(3), 515-551. doi: https://doi.org/10.1016/j.jimonfin.2004.01.007.
[21] Mishkin, F. S. (2011). The economics of money, banking, and financial markets (10th Edition). Boston, USA: Pearson Education.
[22] Musdholifah, M. (2015). Using index for predicting banking crisis in six Asian countries. International Journal of Empirical Finance, 4(3), 170-183.
[23] Noy, I. (2004). Financial liberalization, prudential supervision, and the onset of banking crises. Emerging Markets Review, 5(3), 341-359. doi: https: //doi.org/10.1016/j.ememar.2004.05.001.
[24] OJK. (2018). Statistik Perbankan Indonesia - Desember 2018, Volume 17 No. 01. Otoritas Jasa Keuangan. Diakses 20 Februari 2019 dari https://www.ojk.go.id/id/kanal/perbankan/ data-dan-statistik/statistik-perbankan-indonesia/Pages/ Statistik-Perbankan-Indonesia---Desember-2018.aspx.
[25] Poghosyan, T., & Cˇ iha´k, M. (2009). Distress in European Banks: An Analysis Based on a New Dataset. IMF Working Paper WP/09/9. International Monetary Fund. Diakses 20 Februari 2019 dari https://www.imf.org/en/Publications/WP/Issues/2016/12/ 31/Distress-in-European-Banks-An-Analysis-Basedon-a- New-Dataset-22547.
[26] Reinhart, C., Goldstein, M., & Kaminsky, G. (2000). Assessing financial vulnerability, an early warning system for emerging markets: Introduction. MPRA Paper, 13629. Munich Personal RePEc Archive. Diakses 21 Februari 2019 dari https://mpra.ub.uni-muenchen.de/13629/.
[27] Saunders, A., & Cornett, M. M. (2011). Financial institution management: A risk management approach (7th Edition). McGraw-Hill.
[28] Schaeck, K., & Cihak, M. (2007). Banking competition and capital ratios. IMF Working Paper, WP/07/216. International Monetary Fund. Diakses 21 Februari 2019 dari https://www.imf.org/en/Publications/WP/Issues/2016/12/ 31/Banking-Competition-and-Capital-Ratios-21299.
[29] Sevim, C., Oztekin, A., Bali, O., Gumus, S., & Guresen, E. (2014). Developing an early warning system to predict currency crises. European Journal of Operational Research, 237(3), 1095-1104. doi: https://doi.org/10.1016/j.ejor.2014.02.047.
[30] Von Hagen, J., & Ho, T. K. (2003). Twin crises: A reexamination of empirical links. Diakses 21 Februari 2019 dari https://www. gtap.agecon.purdue.edu/resources/download/1386.pdf.
[31] Wong, J.,Wong, T. C.,&Leung, P. (2010). Predicting banking distress in the EMEAP economies. Journal of Financial Stability, 6(3), 169-179. doi: https://doi.org/10.1016/j.jfs.2010.01.001.
[32] Zhuang, J., & Dowling, J. M. (2002). Causes of the 1997 Asian Financial Crisis: What can an early warning system model tell us? ERD Working Paper Series, 26. Asian Development Bank. Diakses 21 Februari 2019 dari https://www.adb.org/publications/ causes-1997-asian-financial-crisis-what-can-early-warningsystem- model-tell-us-0.
Recommended Citation
Wibowo, Wisnu and Zakaria, Amir Ambyah
(2021)
"Kerentanan Perbankan di Indonesia: Pengukuran dan Penyebabnya,"
Jurnal Ekonomi dan Pembangunan Indonesia: Vol. 21:
No.
1, Article 2.
DOI: 10.21002/jepi.2021.01
Available at:
https://scholarhub.ui.ac.id/jepi/vol21/iss1/2