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Statistical Modeling of Overconfidence and Speculative Bubbles in China's Stock Market

机译:中国股票市场过度自信和投机泡沫的统计建模

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This paper firstly reveals the internal mechanism of overconfidence and market liquidity positively affecting the stock market speculative bubble and proves the difference in the effect of different degrees of overconfidence and market liquidity on the bubble, and then combines the time-varying transition probability. The Markov Switching Time-Varying Transition Probabilities (MS-TVTP) constructs a dynamic evolution mechanism model of China's stock market bubble (VNS three-zone variable expansion model) that includes investor overconfidence and market liquidity. The results show that the stock market bubble extracted by the VEC model is consistent with the actual. Compared with the 2008 financial crisis, the regional effect of China's stock market bubble before and after the crisis is more obvious. The increase in investors' overconfidence will increase the bubble from the latent zone. The probability of conversion to the expansion zone system, the negative change in market liquidity increases the probability of the foam transitioning from the expansion zone system to the rupture zone system.
机译:本文首先揭示了过度自信和市场流动性对股市投机泡沫产生积极影响的内在机理,并证明了不同程度的过度自信和市场流动性对泡沫的影响是不同的,然后结合了时变过渡概率。马尔可夫切换时变过渡概率(MS-TVTP)构造了中国股市泡沫的动态演化机制模型(VNS三区变量扩展模型),该模型包括投资者过度自信和市场流动性。结果表明,VEC模型提取的股市泡沫与实际相符。与2008年金融危机相比,危机前后中国股市泡沫的区域效应更为明显。投资者过度自信的增加将增加潜在区域的泡沫。转换为膨胀区系统的可能性,市场流动性的负变化增加了泡沫从膨胀区系统过渡到破裂区系统的可能性。

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