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 paper investigates the expectation formation process of Japanese stock market professionals. By utilizing a monthly forecast survey dataset on the TOPIX distributed by QUICK Corporation, we sort forecasters into buy-side and sell-side professionals. We empirically demonstrate that the...

We document the determinants of the expectation heterogeneity of stock price forecasters on TOPIX. Monthly panel data collected by QUICK Corporation in the Nikkei Group via surveys is utilized in the process. We examine the determinants of expectation heterogeneity by categorizing our sample...

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...

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...

We document the determinants of the expectation heterogeneity of stock price forecasters on the TOPIX. Monthly panel data surveyed by QUICK Corporation in the Nikkei Group is utilized in the process. We examine the determinants of expectation heterogeneity by categorizing our sample into...

Our study investigates traders’ order submission strategies with varying market conditions under information asymmetry. It examines how a reduction in tick size affects informed traders’ order choices in response to changes in market conditions and subsequently influences the information...

This paper introduces an order-driven market with heterogeneous investors, who submit limit or market orders according to their own trading rules. The trading rules are repeatedly updated via simple learning and adaptation of the investors. We analyze markets with and without learning and...