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The Effect of Abnormal Turnover on Asymmetric Autoregressive Behavior of Index Returns: Evidence from the Chinese A-share Stock Markets

机译:周转率对股指收益率不对称自回归行为的影响:来自中国A股市场的证据

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This study tests the effect of turnover shocks on the asymmetric autoregressive behavior of index returns. The methodological approach adopted in this study is based on the relationship between market return and trading volume. This study first uses a vector autoregression (VAR) to model two market trading volume series by controlling for the variation associated with the sign and magnitude of both week t and week t−1 or week t+1 market returns. The generated market-adjusted relative turnover (MRTO) series are then plugged into the bivariate asymmetric AR GARCH-t model (asAR-GARCH-t) using weekly data from the Shanghai and Shenzhen A-share stock markets. The results show that turnover shocks have a material effect on asymmetric autoregressive behavior and thus on asymmetric persistence of past returns.
机译:本研究测试了周转冲击对指数收益率不对称自回归行为的影响。本研究采用的方法学方法基于市场回报率与交易量之间的关系。这项研究首先使用向量自回归(VAR)通过控制与t周和t-1周或t + 1周市场收益的符号和大小相关的变化来模拟两个市场交易量序列。然后,使用来自上海和深圳A股市场的每周数据,将生成的市场调整后的相对营业额(MRTO)系列插入双变量非对称AR GARCH-t模型(asAR-GARCH-t)。结果表明,离职冲击对不对称的自回归行为具有重要影响,从而对过去收益的不对称持久性具有重要影响。

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