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Network Forum Investor Sentiment, Sentiment Volatility And Stock Market - An Empirical Analysis Based on Multivariate GARCH-BEKK Model

机译:网络论坛投资者情绪,情感波动性和股市 - 基于多元加粗型号模型的实证分析

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Based on the text of posing on the network forum, we establish a set of keyword dictionary to measure the long and short investors' sentiment effectively, then we investigate the mutual relations between investor sentiment and the trading market through a Multivariable BEKK-GARCH model of abnormal long and short investors sentiment, returns and abnormal trading volume. The results show that abnormal sentiment of long investor has a negative impact on the returns and a positive impact on the abnormal trading volume; While abnormal sentiment of short investor has no impact on the return and a negative impact on the abnormal trading volume. Otherwise, there is the negative volatility effect from abnormal sentiment of long investor to returns and abnormal trading volume, the positive volatility effects from abnormal sentiment of short investor to returns, and no volatility effects from abnormal sentiment of short investor to abnormal trading volume. In addition, network forum investor sentiment is a factor affecting the trading market. The analysis of forum information plays a certain role in presenting market risk and improving efficiency in making investment decision.
机译:基于网络论坛上的文本,我们建立了一套关键词词典,以有效地测量漫长而短的投资者的情绪,然后我们通过多变量的BEKK-GARCH模型调查投资者情绪与交易市场之间的相互关系异常长,投资者情绪,回报和异常交易量。结果表明,长投资者的异常情绪对回报产生负面影响和对异常交易量的积极影响;虽然短投资者的异常情绪对返回没有影响,但对异常交易量的影响产生负面影响。否则,有远离投资者的异常情绪返回和异常交易量的负面波动效应,从短投资者的异常情绪返回的正常波动效应,并没有从短投资者异常情绪到异常交易量的波动效应。此外,网络论坛投资者情绪是影响交易市场的因素。论坛信息的分析在提高市场风险和提高投资决策方面的效率方面发挥着一定的作用。

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