We develop a simple agent-based financial market model in which heterogeneous speculators apply technical and fundamental analysis to trade in two different stock markets. Speculators’ strategy/market selections are repeated at each time step and depend on predisposition effects, herding...

We develop a simple agent-based financial market model in which speculators' market entry decisions are subject to herding behavior and market risk. Moreover, speculators' orders depend on price trends, market misalignments and fundamental news. Using a mix of analytical and numerical tools, we...

In this paper, we develop and examine a simple interactive agent‐based model, where the distribution of returns generated from the model takes into account two stylized facts about financial markets： fat tails and volatility clustering. Our results indicate that the risk tolerance of...

By incorporating behavioral sentiment to a model of limit order market, we show that behavioral sentiment not only helps to replicate most of the stylized facts simultaneously in limit order markets, but also plays a unique role in explaining these stylized facts that cannot be explained by...

Many experiments have been conducted on market mispricing, however there is a distinct lack of guidance over how mispricing should be measured. This raises concerns about the sensitivity of mispricing results to variations in the measurement procedure. In this paper, we investigate the...

Mispricing (the difference between prices and their underlying fundamental values) is an important characteristic of markets. The literature on the topic consists of many different measures. This state of affairs is unsatisfactory, since it is not clear to which extent results are sensitive to...