Recent research has shown a variety of computational techniques to describe evolution in an artificial stock market. One can distinguish the techniques based on at which level the learning of agents is modeled. The previous literature describes learning at either individual or social level. The...

This study conducts a high-frequency technical analysis of individual stocks listed on the Tokyo Stock Exchange. We propose novel technical rules that derive the timing of trades according to traditional systemic risks—such as shock-propagation, quote-stuffing, and tail risks—measured by...

Recent empirical research has documented that the state of the limit order book influences stock investors' strategies. Investors place more aggressive orders when the same side of the order book is thicker, and less aggressive orders when it is thinner. We conjecture and demonstrate that this...

This paper discusses the expectation formation process of Japanese stock market professionals and how their expectations are related to larger fluctuations of the TOPIX price than those of economic fundamentals. By utilizing a monthly forecast survey dataset on the TOPIX distributed by QUICK...