基于复杂网络的新能源股票间联动性研究

运用复杂网络方法，建立无向无权网络，考量新能源板块内88支股票间的联动性，结果表明，新能源股票间的收益具有联动性；一些股票在网络中占据重要位置，对于信息在新能源股票网络中传递起重要作用；所构建的网络具有小世界效应和无标度特性，但是幂律指数与大多数现实网络的幂律指数存在差异。鉴此，投资新能源股票，应综合考量市场波动对未来收益的影响，以更好规避投资风险。

A Study of Co-movement for the New Energy Stocks Based on Complex Networks

Using the complex network to establish an undirected and unweighted network, this paper analyzes the co-movement among the 88 stocks within the new energy stocks block. The empirical results show that there is a co-movement in the returns of the new energy stocks;some stocks occupy the important position in the network,for information transfer plays an im-portant role in new energy stocks network;the network constructed has small-world effect and scale-free properties,but the power-law index is not consistent with the power-law index of most real networks.So when investing in new energy stocks,investors should consider the impact of market volatility of future earnings,in order to better avoid investment risks.