Abstract
The paper analyzes the intraday behavior of Czech stock returns using a high-frequency data for three of the most liquid stocks traded on the Prague Stock Exchange. The author employs a quantile regression framework with a seasonality component in order to investigate the effects of intraday seasonality on the variation in the 30-minute sampled intraday returns over the course of the trading day and at different quantiles of the (conditional) returns distribution.