印尼银行业系统性风险的衡量:条件风险价值模型的应用

Signifikan Pub Date : 2017-06-30 DOI:10.15408/SJIE.V6I2.5296
Harjum Muharam, Erwin Erwin
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引用次数: 6

摘要

系统性风险是指金融系统崩溃的风险,这将导致金融系统无法正常运行。衡量金融机构,尤其是银行的系统性风险至关重要,因为银行极易受到金融危机的影响。在本研究中,为了估计条件风险值(CoVaR),使用了分位数回归。本研究样本中有9家银行的总资产为印尼最大。在本研究中,使用Spearman相关性和Kendall Tau检验VaR和ΔCoVaR之间的相关性。有五家银行的VaR和ΔCoVaR之间存在显著相关性,而样本中的其他四家银行没有显著相关性。然而,相关系数低于0.50,这表明VaR和CoVaR之间的相关性较弱。DOI:10.15408/jie.v6i2.5296
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Measuring Systemic Risk of Banking in Indonesia: Conditional Value at Risk Model Application
Systemic risk is a risk of collapse of the financial system that would cause the financial system is not functioning properly. Measurement of systemic risk in the financial institutions, especially banks are crucial, because banks are highly vulnerable to financial crisis. In this study, to estimate the conditional value-at-risk (CoVaR) used quantile regression. Samples in this study of 9 banks have total assets of the largest in Indonesia. Testing the correlation between VaR and ΔCoVaR in this study using Spearman correlation and Kendall's Tau. There are five banks that have a significant correlation between VaR and ΔCoVaR, meanwhile four others banks in the sample did not have a significant correlation. However, the correlation coefficient is below 0.50, which indicates that there is a weak correlation between VaR and CoVaR. DOI: 10.15408/sjie.v6i2.5296
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发文量
30
审稿时长
8 weeks
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