This study provides an explanation for the emergence of power laws in asset trading volume and returns. We consider a two-state model with binary actions, where traders infer other traders' private signals regarding the value of an asset from their actions and adjust their own behavior...

This study provides an explanation for the emergence of power laws in asset trading volume and returns. We consider a two‐state model with binary actions, where traders infer other traders' private signals regarding the value of an asset from their actions and adjust their own behavior...

We investigate retailers' price setting behavior using a unique dataset containing by-the-second records of prices offered by closely competing retailers on a major Japanese price comparison website. First, we find that, when the average price of a product across retailers falls rapidly, the...

We investigate retailers' price setting behavior, and in particular strategic interaction between retailers, using a unique dataset containing by-the-second records of prices offered by competing retailers on a major Japanese price comparison website. First, we find that, when the average price...

This study seeks to explain the emergence of fat-tailed distributions of trading volumes and asset returns in financial markets. We use a rational expectations form of the herding model. In the model, traders infer other traders' private signals regarding the value of an asset by observing their...

This study provides an explanation for the emergence of power laws in asset trading volume and returns. We consider a two-state model with binary actions, where traders infer other traders' private signals regarding the value of an asset from their actions and adjust their own behavior...

Using a simultaneous-move herding model of rational traders who infer other traders' private information on the value of an asset by observing their aggre- gate actions, this study seeks to explain the emergence of fat-tailed distributions of transaction volumes and asset returns in financial...