We propose an empirical behavioral order-driven (EBOD) model with price limit rules, which consists of an order placement process and an order cancellation process. All the ingredients of the model are determined based on the empirical microscopic regularities in the order flows of stocks traded...

We examine the effect of learning of uninformed traders in a dynamic limit order market with asymmetric and short-lived information. We show that the learning is effective and valuable with respect to information acquisition, forecasting and buy-sell decision accuracies, and profit opportunity...

Using stock market data over 16 years for Chinese stock markets and over 3 years for U.S. stock markets, this study explores the explanatory power of early intraday market-wide up and down movements to the subsequent intraday returns within the same trading day. As compared to the closing of the...