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Empirical Study on Positive Feedback Trading in Stock Market

机译:股票市场正反馈交易的实证研究

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摘要

Positive Feedback Trading strategies are selling during market declines and buying during market advances. Base on the day-trading data of SSE (Shanghai Stock Exchange) Composite Index and SSE (Shenzhen Stock Exchange) Component index in Chinese Stock market from 1996 to 2005, the method to set up one asymmetry component model (CGARCH) is it estimates positive feedback trading activity of stock market to come. Analyze through empirical study, the impact of feedback trading is to produce negative first order autocorrelation in stock returns, which becomes more negative as the level of volatility rises.And the trading activity of positive feedback is asymmetric when the market rises and drops, the result of the empirical study indicates that drops the trading of positive feedback in time far and violent comparing with the time when the market rises on the market, the obvious lever effect exists.
机译:正面反馈交易策略是在市场下跌期间卖出,在市场上涨期间买入。根据1996年至2005年中国股票市场上证综合指数和深交所成分指数的日间交易数据,建立一个不对称成分模型CGARCH的方法是估计为正。反馈即将到来的股票交易活动。通过实证研究分析,反馈交易的影响是在股票收益中产生负的一阶自相关,当波动率上升时,负自相关变得越来越负。当市场上下波动时,正反馈的交易活动是不对称的,结果实证研究的结果表明,与市场上涨时相比,积极反馈的交易时间远不及市场剧烈,存在明显的杠杆效应。

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