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 important 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.