DocumentCode :
2459091
Title :
Research on Volatility Spillover Effects in Financial Markets Based on Copula and Kernel Function
Author :
Ke, Jian ; Wang, Liming ; Murray, Louis ; Xiong, Hui
Author_Institution :
Smurfit Bus. Sch., Univ. Coll. Dublin, Dublin, Ireland
fYear :
2010
fDate :
17-19 Dec. 2010
Firstpage :
402
Lastpage :
405
Abstract :
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.
Keywords :
financial management; risk management; stock markets; Shanghai market; asymmetrical distribution estimation; bivariate Archimedean Copula; copula function; financial markets; financial risk; international financial crisis; kernel smoothing function; marginal density distribution estimation; stock markets; volatility spillover effects; Correlation; Educational institutions; Estimation; Kernel; Smoothing methods; Stock markets; Copula; Financial Risk; Kernel Function; Volatility Spillover Effect;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational and Information Sciences (ICCIS), 2010 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8814-8
Electronic_ISBN :
978-0-7695-4270-6
Type :
conf
DOI :
10.1109/ICCIS.2010.105
Filename :
5709108
Link To Document :
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