In this paper we adopt a nonparametric genetic programming approach to identify the structural changes in the Nikkei spot index and futures price. Due to the dominance of the “normal” period in sample size, the lead-lag relationship identified in the spot-futures system based on conventional methods such as test for Granger causality pertains to the normal period and may not be applicable in the “extreme” period. Using genetic programming we identify the lead-lag relationship based on the chronological ordering of the structural changes in the spot and futures markets. Our results show that in recent periods, major market changes originated from the spot market and then spread over to the futures market.
structural change, operating mechanism, genetic programming
LIEN, Donald; TSE, Yiu Kuen; and CHANG, X. B..
Structural Change and Lead-Lag Relationship between the Nikkei Spot Index and Futures Price: A Genetic Programming Approach. (2002). Research Collection School of Economics.
Available at: http://ink.library.smu.edu.sg/soe_research_all/4