Associations rules between sector indices on the Warsaw stock exchange

Abstract

In this paper an Association Rules data mining technique is adopted to explore the co-movement between sector indices listed on the Warsaw Stock Exchange. The sector indices describe various parts of the Polish economy as well as Ukrainian companies and are not as sensitive to individual random events as single companies are. The measures describing discovered rules are calculated and strong rules are selected. Based on the strong rules the relations between parts of the Polish economy are presented. The interesting mutual interrelations between parts of Polish and Ukrainian economies are also observed.