AbstractThis paper studies the exposure and contribution of financial institutions to systemic risks in financi'/> Systemic risk, financial markets, and performance of financial institutions
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Systemic risk, financial markets, and performance of financial institutions

机译:系统性风险,金融市场和金融机构的绩效

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AbstractThis paper studies the exposure and contribution of financial institutions to systemic risks in financial markets. We employ three popular indicators of a financial institution’s exposure to systemic risks: the systemic risk index (SRISK) and marginal expected shortfall (MES) of Brownlees and Engle (Volatility, correlation and tails for systemic risk measurement, Social Science Research Network, Rochester, NY, 2012) and the conditional Value-at-Risk (CoVaR) of Adrian and Brunnermeier (2011). We use a primary database of Taiwan financial institutions for our empirical study. A panel contains data of stock market returns and balance sheets of 31 Taiwan financial institutions for 2005–2014. We focus on systemic risk analysis so as to understand the dynamics of volatility, interdependency, and risk during the recent financial crisis. We then report the time series dynamics and cross sectional rankings of these systemic risk measures. The main results indicate that although these three measures differ in their definition of the contributions to systemic risk, all are quite similar in identifying systemically important financial institutions (SIFIs). Moreover, we find empirical evidence that systemic risk contributions are closely related to certain institution characteristic factors. The results of the Granger causality tests prove that a systemic risk measure is a great alternative tool for monitoring early warning signals of distress in the real economy.
机译: 摘要 本文研究了金融机构对金融市场系统性风险的敞口和贡献。我们采用了金融机构面临的系统性风险的三个流行指标:系统性风险指数(SRISK)和Brownlees和Engle的边际预期缺口(MES)(系统性风险度量的波动率,相关性和尾巴,社会科学研究网络,罗切斯特,纽约,2012年)以及Adrian和Brunnermeier的条件风险价值(CoVaR)(2011年)。我们使用台湾金融机构的主要数据库进行实证研究。一个面板包含2005-2014年台湾31家金融机构的股票市场收益和资产负债表数据。我们专注于系统风险分析,以了解最近一次金融危机期间的波动性,相互依赖性和风险的动态。然后,我们报告这些系统风险度量的时间序列动态和横截面排名。主要结果表明,尽管这三种措施对系统风险贡献的定义不同,但在确定具有系统重要性的金融机构(SIFI)方面都非常相似。此外,我们发现经验证据表明系统性风险贡献与某些机构特征因素密切相关。 Granger因果关系检验的结果证明,系统风险度量是监视实体经济中困境预警信号的一种很好的替代工具。

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