中、港、美證券市場間的交叉相關(guān)研究
[Abstract]:In the empirical research of finance, the autocorrelation of stock return has been paid more and more attention to, Cutler et al (. 1990), which emphasizes the relationship between "feedback trading" behavior and the autocorrelation of stock market. It creates a new perspective on the autocorrelation of stock return. With the occurrence of the subprime mortgage crisis in the United States in 2007, the global economy has been hit either big or small. Therefore, it is of great theoretical and practical significance to explore the influence of the financial crisis on the Chinese stock market and the characteristics of investors' behavior from the perspective of "feedback trading" behavior. This paper takes the three regional representative stock index returns of China, Hong Kong and the United States as the research object, through the combination of theoretical and empirical analysis, based on the positive feedback trading behavior, the autocorrelation of the stock index returns in each region. The cross-correlation of stock index return among different regions is studied. Through the GARCH-M model, the conditional variance of the stock return in a single market is obtained, and the conditional autocorrelation coefficient between the current stock return and the lag first stock return is obtained. As well as the conditional cross-correlation coefficient and the corresponding conditional variance between the two markets, this paper explores the volatility spillover effect, return spillover effect characteristics and positive feedback trading behavior of the stock market in each region. In order to explore the influence of the 2007 subprime mortgage crisis on the behavior of Chinese stock market traders, especially, this paper divides the three market index data of China, Hong Kong and the United States into two stages before and after the 2007 financial crisis. The correlation and positive feedback trading behavior are studied respectively. The main conclusions are as follows: (1) the volatility of the Chinese stock market is greater than that of the United States and Hong Kong. There is a significant ARCH effect in the three market indices, so the time-varying and clustering of yield fluctuations can be characterized by arch family model. (2) the bivariate GARCH-M model simulates the autocorrelation and cross-correlation of stock markets in China, the United States and Hong Kong. Relatively speaking, the interaction between the US stock market and the Hong Kong stock market is strong, and there is also a certain correlation between the mainland Chinese market and the Hong Kong stock market. The Chinese stock market is affected by the US stock market to a certain extent. (3) the relationship between volatility and autocorrelation coefficient not only has the characteristics of "smile curve", but also has the characteristics of asymmetry. The 2007 financial crisis has had a certain impact on the feedback trading effect in China, the United States and Hong Kong.
【學(xué)位授予單位】:華中科技大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2012
【分類號】:F832.51;F837.12
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