© 2018 by the author. This paper examines how China's power market reform influences the stock price volatility of listed power companies. We use the Iterative Cumulative Sums of Squares (ICSS) algorithm to identify structural breakpoints in stock prices, then analyze the characteristics of stock price volatility based on the GARCH model and report the impact of power regulation on stock price fluctuations based on the Autoregressive Distributed Lag (ARDL) model. Using data on power stock price index followed by industrial policy issued between 2006 and 2012, we find that: (1) three structural breaks in China's power stock price volatility were related to the promulgation of power market reform policies; (2) industrial policies promote the reduction of power stock price fluctuations and its impact on power stock price volatility is consistent in the long run; and (3) the recent policies related to renewable energy do not have a very significant impact on the power stock market.
