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Empirical Study on Long Memory Feature in Chinese Stock Market
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作者 Hongquan Li Chaoqun Ma 《Journal of Systems Science and Information》 2006年第4期673-679,共7页
The notion of long memory, or long-term dependence, has received considerable attention in empirical finance. While many empirical works were done on the detection of long memory in return series, very few investigati... The notion of long memory, or long-term dependence, has received considerable attention in empirical finance. While many empirical works were done on the detection of long memory in return series, very few investigations focused on the market volatility, though the long-term dependence in volatility may lead to some types of volatility persistence as observed in financial markets and affect volatility forecasts and derivative pricing formulas. So, using modified rescaled range analysis and ARFIMA model testing, this study examined long-term dependence in Chinese stock market returns and volatility. The results show that although the returns themselves contain little serial correlation, the variability of returns has significantly long-term dependence. It would be beneficial to encompass long memory structure to assess the behavior of stock prices and research on financial market theory. 展开更多
关键词 arfima model long memory modified rescaled range analysis stock market
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