中文摘要：

利用股票的收益率相关性与流动相关性两种度量构建沪深两市的负相关网络,分析两种网络的特征。发现典型的负相关的股票网络构成树,具有无标度特性,形成复杂网络。发现收益率网络与流动性网络变化趋势大致相同,但流动性网络度量包含更多的信息。负相关网络可以有效地发现股市中趋势相悖的股票,有利于加强监管,规避风险。

英文摘要：

The negative correlation network of Shanghai and Shenzhen stock market is constructed by using the correlation of stock returns and flow correlation,and the characteristics of the two networks are analyzed.It is found that the typical negative correlation of the stock network constitutes a complex network,and has the characteristics of scale-free.The change trend of the volatility of the network is roughly the same as that of the liquidity network,but the measurement of the liquidity network contains more information.Negative correlation network can effectively find the stock market trend contrary to the stock,easier to strengthen supervision,to avoid the risk.