Adopting the quantile regression model, this paper describes the positive relation between relative order imbalance and intraday futures returns. The positive connection is relatively stronger for lower quantiles of intraday futures returns than for higher quantiles. However, the connection...

With the increased availability of high-frequency financial market data in recent years, the extraction of “realized” volatility (from intraday squared returns) has led to numerous theoretical developments and empirical applications for a wide range of equity and commodity markets. This...

In this paper, we focus on the trade and quote data for the IBM stock traded at the NYSE.We present two different frameworks for analyzing this dataset. First, using regularly sampled observations, we characterize the intraday volatility of the mid-point of the bid-ask quotes by estimating GARCH...

Summary We study the response of the German stock market index DAX to the announcement of macroeconomic business cycle forecasts. Returns are computed using high-frequency data observed for 15-second intervals. Publications of macroeconomic US indicators at 2:30 p.m. (CET) have temporary and...