Analysis of the volatility’s dependency structure during the subprime crisis

In this article, we test the hypothesis of contagion amongst sectors within the United States’ economy during the subprime crisis. The econometric methodology applied here is based on the dynamic conditional correlation model proposed by Engle (2002). Further, we applied several Lagrange multiplier (LM)-robust tests to test whether there were structural breaks in series’ dependency structures during the period of interest. Events theoretically classified as relevant to the crisis upshots as well as the interactions between the moments of the series were used as indicator functions to the referred structural breaks. The main conclusion of this study is that one can indeed observe contagion within almost all pairs of sectors’ indices. Thus, we conclude that the dependency structure of the sectors of interest has faced structural changes during the years of 2007 and 2008. Hence, diversification strategies as well as the risk analysis inherent to the portfolios’ management may have been drastically affected.     

Information-based contagion and the implications for financial fragility

This paper explores a global game model of information-based financial contagion. By revealing information on a common fundamental factor and thereby affecting the behavior of creditors, the failure of a single firm can trigger the failure of another firm. The model provides a unique equilibrium framework to assess the consequences of contagion and yields some hitherto unnoticed insights. While contagion increases the correlation among the financial failures of different firms, its impact on the incidence of failure is ambiguous. I consider an analytically tractable version of the model in which the effect on the ex ante failure probabilities is exactly zero. Moreover, the impact of contagion increases with the relevance of a common underlying fundamental, but is limited to firms near the brink of success or failure.     

Interest rate pass-through and illiquidity shocks in the US

This study examines the US interest rate pass-through mechanism and considers the illiquidity shocks upon retail interest rate correlations caused by financial crises between 1986 and 2011. We estimate a bi-variable EGARCH model using a dynamic conditional correlation model developed by Engle (2002 Engle, R. F. 2002. Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models. Journal of Business and Economic Statistics, 20: 339–350. [Taylor & Francis Online], [Web of Science ®] , [Google Scholar]) in order to analyze how asymmetric monetary policy influences interest rate pass-through. We test the risks to the dynamic condition and changes in the correlation coefficient. The main empirical results are as follows. First, the long-run interest rate pass-through mechanism is unstable in the US. Second, expected monetary policy impulses are greater than the unexpected ones in the short-run. Finally, according to the one-step and N-step forecast tests, the illiquidity shocks caused by financial crises demonstrate a significant change in retail interest rate risks, but not in correlations between retail interest rates. We conclude that when the interest rate pass-through mechanism is unstable, banks may stop helping each other and will not provide loans to firms and consumers, thereby exhausting the capital of all economic systems. The characteristics of illiquidity enter into the interest rate pass-through mechanism; therefore, the relationship between illiquidity and the interest rate pass-through needs to be investigated.     

企业资金担保链:风险消释、风险传染与风险共享——基于浙江的案例研究

本文对企业资金担保链的风险共享机制进行了分析,结果发现:(1)企业资金担保链组成了一个\"线、环、网\"系统的风险共享体系;(2)其风险消释机制表现为融入资金担保链企业的融资能力比独立企业强;(3)其风险传染机制表现为通过资产负债表渠道、信息传染渠道、投资传染渠道等形式对危机进行传染。本文随后对企业资金担保链的风险共享机制进行了理论提升,研究发现,只有当整体经济环境有利时,资金担保链是有益的;反之,则会导致企业全部陷入困境。     

我国上市商业银行系统性风险中共同风险因素分析

通过实证分析我国14家上市商业银行以及金融指数的收益率的波动情况、相关系数和协方差,分析了我国上市商业银行的系统性风险中的共同风险因素。得到结论:14家上市商业银行对共同风险因素的反应较为一致;与其他上市商业银行相比,共同风险在大型商业银行的系统性风险中所占比重较大;与其他风险相比,大型商业银行对共同外部风险的反应更显著;金融指数能够较好地代表金融风险因素。     

非交易天数对我国股市波动的影响分析

非交易天数对股票收益波动具有显著影响,即两个相邻交易日之间间隔的非交易天数越多,收益的波动性越大.另外我们还发现我国股市中存在着结构性变化和不对称效应,而且市场风险和期望收益之间存在正向关系.     

欧洲碳排放权交易价格机制的实证研究

随着环境问题的日益严峻,作为一种市场化的减排方式—碳排放权交易逐渐受到越来越多的关注,也成为了众多学者研究的重点。以欧洲排放权交易体系为对象,研究其价格形成机制,分析了两阶段EUA价格的走势及其成因,建立了碳排放权交易价格模型,并检验了其适用性;然后分别以欧洲减排的第一阶段和第二阶段为独立样本,进行价格估计和预测。研究发现,EGARCH(1,1)-t模型适合用于EUA价格机制的研究,能够较好地估计和预测减排前两阶段的EUA价格,但是由于政治、交易制度、市场等方面原因,两个阶段的价格形成机制、价格波动性等方面存在较大差异。     

商业银行集团客户信贷风险管理研究

近年来,一系列集团客户先后爆发债务危机,给银行信贷资产带来重大损失和负面影响。本文针对集团客户的风险特征和我国商业银行的管理缺陷,指出集团客户信贷风险的成因,提出加强集团性客户信贷风险管理的对策     

What drives idiosyncratic volatility over time?

We document the patterns of market-wide and firm-specific volatility in the Portuguese stock market over the 1991–2005 period and test several explanations for the behavior of firm-level idiosyncratic volatility. Unlike previous studies we find no evidence of a statistically significant rise in firm-specific volatility. On the contrary, the ratio of firm-specific risk to total risk slightly decreases. We show that this result stems from new listings of large privatized companies that display lower firm-specific risk. Our findings are consistent with the idea that changes in idiosyncratic volatility are related to changes in the composition of the market.

试析内部审计在商业银行风险管理中的作用

目前,随着金融体制改革的日益深化和风险的日益突出,如何控制和管理金融机构风险已成为现代银行管理者面临的重要课题。内部审计能够客观地对组织整体的风险管理进行审查与评价;能够指导银行的风险策略,防止控制过度或不足的缺陷;能够发挥反馈作用,对银行的风险管理起预警功能。     

基于SJC-Copula的商业银行汇率风险的度量及对策分析

自2005年人民币汇率制度改革以来,人民币汇率弹性越来越大,各类金融机构对汇率风险的重视程度也在与日俱增。在此背景下,构建了商业银行汇率风险度量的SJC Copula模型,并以国内商业银行数据进行了实证研究,结果表明商业银行汇率风险的下尾风险较为显著,而上尾相关系数则会因不同的汇率而表现出一定的差异性。基于此,我国商业银行应该加强风险监测,提高风险管理的战略地位,引进汇率风险管理专业人才以及调整银行的币种结构等。