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典型事实、混合Copula函数与金融市场相依结构研究
典型事实 混合Copula 相依结构
2015/5/11
运用ARFIMA-FIAPARCH-skst模型对沪深300指数和香港恒生指数建立收益-波动模型, 然后结合估计的参数对模型进行修正以确立最终模型, 排除金融市场典型事实对相依关系的影响, 进而运用由Clayton、Frank和Gumbel组成的混合copula模型对相依结构进行建模。研究结果表明:内地市场和香港市场均未观察到显著的杠杆效应;由Clayton、Frank和Gumbel组成的混合Co...
基于Copula模型的商业银行碳金融市场风险整合度量
碳价 汇率 Copula-ARMA-GARCH模型
2015/5/11
目前低碳经济已经成为转变经济发展方式的战略措施之一, 碳金融业务逐渐成为金融机构助力低碳经济发展的重要金融创新领域, 而风险控制问题始终是影响金融创新成败的关键。目前中国的碳金融市场以清洁发展机制(CDM)下商业银行参与的间接金融为主导, 商业银行参与碳金融业务面临国际碳价波动、碳交易结算货币汇率波动等诸多风险, 且多源风险因子之间具有业务共生性和复杂相关性。论文选取2009-2012年美国洲际交...
Involving copula functions in Conditional Tail Expectation
Conditional tail expectation Copulas Dependence concepts Risk measure Capital requirement Heavy-tailed distributions
2012/6/5
We discuss a new notion of risk measures that preserve the property of coherence called Copula Conditional Tail Expectation (CCTE). This measure describes the expected amount of risk that can be exper...
市场异象与风格漂移的动态相依性——基于Copula函数的经验研究
市场异象 风格飘移 尾部相关
2013/12/10
为对中国股票型基金普遍存在的风格错配现象进行有效解释,从市场异象与风格漂移之间的内在逻辑关系出发,利用Copula模型对中国股票市场的价值溢价、规模溢价和动量溢价等主要市场异象与风格漂移之间的动态相依关系进行考察。研究发现:价值溢价、规模溢价与风格漂移之间存在不够显著的动态相依关系,其尾部相关结构以下尾相关为主;动量溢价与风格漂移之间存在显著的动态相依关系和对称的尾部相关性。上述结果说明:中国股票...
Increasing the number of inner replications of multifactor portfolio credit risk simulation in the t-copula model
credit risk expected shortfall extremal dependence geometric shortcut
2011/8/30
We consider the problem of simulating tail loss probabilities and expected losses conditioned on exceeding a large threshold (expected shortfall) for credit portfolios. Instead of the commonly used no...
Perturbed Copula: Introducing the skew effect in the co-dependence
Introducing the skew effect co-dependence
2010/10/18
Gaussian copulas are widely used in the industry to correlate two random variables when there is no prior knowledge about the co-dependence between them. The perturbed Gaussian copula approach allows...
We collect well known and less known facts about the bivariate normal distribution and translate them into copula language. In addition, we prove a very general formula for the bivariate normal copula...
From Finance to Cosmology: The Copula of Large-Scale Structure
cosmology large-scale structure of universe — galaxies clusters
2010/11/2
Any multivariate distribution can be uniquely decomposed into marginal (1-point) distributions,
and a function called the copula, which contains all of the information on correlations between the dis...
提出了套期保值的期货与现货非线性匹配原理和收益率波动预测原理,在最小方差套期保值模型的基础上,借助Copula模型计算体现非线性相关的相关系数,利用GARCH和EWMA模型对期货和现货的标准差进行预测,提高套期保值的有效性.该模型的特点一是利用Copula函数计算中位数相关系数,实现了期货与现货收益率的非线性匹配,保证了当期货价格和现货价格发生较大波动时的相关系数计算的准确性.二是通过套期保值的收...
Production Copula
Copula Correlation Production Function Productivity of Firms Value Added
2010/10/29
Heterogeneity of economic agents is emphasized in a new trend of macroeconomics. Accordingly the new emerging discipline requires one to replace the production function, one of key ideas in the conven...
Correlation breakdown, copula credit default models and arbitrage
Correlation breakdown copula credit default models arbitrage
2010/11/2
The recent ‘correlation breakdown’ in the modeling of credit default swaps,in which model correlations had to exceed 100% in order to reproduce market prices of supersenior tranches, is analyzed and a...
An information theoretic approach to statistical dependence: copula information
An information theoretic statistical dependence copula information
2010/11/3
We discuss the connection between information and copula theories by showing that a copula can be employed to decompose the information content of a multivariate distribution into marginal and depende...
分别使用包含``天数变量''的Log-ACD和Copula模型对股票的连涨和连跌收益率的边缘分布以及二者的联合分布进行了拟合,检验结果表明该模型拟合的效果要优于传统方法.对上证180指数数据做了实证研究,并使用条件VaR对股票连涨连跌收益率进行风险分析,实证结果证明该模型的拟合结果与股市的实际情况是相吻合的.投资者可以依照模型得出的``涨跌风险对比图''分析当前股票市场的涨跌风险对比,从而指导投资...
三种Copula-VaR计算方法与传统VaR方法的比较
2007/8/7
摘 要：金融风险测量VaR方法广泛应用于银行等金融机构，Copula技术以其处理非正态联合分布函数所具有的良好性质逐渐成为国内外研究的热点。本文将Copula理论应用于VaR的计算方法与传统的VaR方法进行比较，通过美元和欧元组合的实证研究，得到基于Copula的VaR方法能够更加有效的测量风险的结论。关键词：Copula；VaR；GARCH；汇率
多金融资产风险价值的Copula计量方法研究
2007/8/7
内容摘要：本文侧重研究多金融资产风险价值(VaR)的计量方法。首先讨论传统的金融资产风险价值VaR计量方法；然后利用Copula联结函数、混合分布和Jacob矩阵构造出多金融资产风险价值的Copula计量方法；最后指出风险价值的Copula计量方法研究的相关问题。关键词：风险价值，Copula联结函数，混合分布，多金融资产，投资管理。