Volatility spillover of energy stocks in different periods and clusters based on structural break recognition and network method

This paper investigates the volatility spillover among multiple energy stocks in different periods and clusters (the period of similar fluctuation) by employing the Toeplitz inverse covariance-based clustering method (TICC) and network method. Specifically, we investigate the spillover effect among energy stocks in periods and compare that in the same clusters under different events to reveal the characteristics of spillover networks among...