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Data mainly used in this research are not observational data of actual phenomena but data generated by simulations. The simulations mean a calculation of a state expressed in a computer changing in sequence. Although there are phenomena which have difficulty in experiments and even observations, it is possible to carry out them in simulations. Even when there is no mathematical or physical formula it is possible to build models reflecting various ideas and carry out the simulation using the models under different conditions. We can address the understanding of the phenomenon by examining the obtained results. In the real world there are phenomena of collective behaviours like bird flocks where many individuals gather. Each individual acts in accordance with each rule. When individuals gather the action of an individual influences the actions of other individuals. Even if the movement of each individual in the aggregation is simple, the collective behaviour is seemingly organized although there is no director and rather complex collective behaviours emerge than we expect. I am interesting in these phenomena. Among the various phenomena emerged from aggregations I am particularly interested in two phenomena, financial market price changes and "group chase and escape" at the moment. I consider the reason why financial market prices such as stock and exchange rate show short-term variabilities and mid and long term trends, where there are many dealers in financial markets. The problem of group chase and escape is a tag where there are many chasers and escapees. Although the individual rule is simple, rather complex collective behaviours emerge.