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Research on Volatility Spillover Effects in Financial Markets Based on Copula and Kernel Function

机译:基于Copula和Kernel函数的金融市场波动性溢出效应研究

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摘要

In the current international financial crisis, investors are closely watching that how deeply China's market is affected by the financial crisis and its role in stabilizing the global financial situation. In this paper, we have tested spillover effects in financial risk between the Shanghai market and the other main stock markets. We use the kernel smoothing function to estimate the marginal density distribution, and use the bivariate Archimedean Copula to estimate the asymmetrical distribution. The main findings are that Shanghai market is not significantly affected by New York market, and that it cannot exert on significant influence on New York market.
机译:在目前的国际金融危机中,投资者密切关注中国的市场如何受到金融危机的影响,以及其在稳定全球财务状况方面的作用。在本文中,我们测试了上海市场与其他主要股市之间的金融风险溢出效应。我们使用内核平滑功能来估计边际密度分布,并使用Bivariate Archimedean Copula来估计不对称分布。主要研究结果是上海市场受到纽约市场的显着影响,而且它对纽约市场无法施加重大影响力。

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