In this paper, we determine whether intraday price dynamics observed on Euronext help characterize market liquidity in real time. We generate 15-minute price movement configurations based on High-Low-Open-Close (HLOC) patterns and measure liquidity in terms of spread, depth, order imbalance,...

This study provides evidence that high-frequency traders (HFTs) identify patterns in past trades and orders that allow them to anticipate and trade ahead of other investors' order flow. Specifically, HFTs' aggressive purchases and sales lead those of other investors, and this effect is stronger...

I examine the relationship between aggregate news sentiment, S&P 500 Index returns, and changes in the implied volatility index (VIX). I find a significant negative contemporaneous relationship between changes in VIX and both news sentiment and stock returns. This relationship is asymmetric...

This paper is built around a simple premise that is based on the theoretical models of Harris and Raviv (1993) and Kandel and Pearson (1995). Complex statements are more difficult to interpret and may be construed in different ways by different agents. This creates heterogeneity of beliefs among...

In a single information transfer setting, we detect both under- and overreactions of stock prices to corporate earnings news. We find that the stock prices of a firm's blockholder underreact to the firm's earnings news but the stock prices of the firm overreact to its blockholder's earnings...

This paper examines the long and short-run relationships between three Central European Economies stock returns (Poland, Hungary and Czech Republic) and their main western economic and trading partner, which is Germany. We obtain evidence of links between macroeconomic variables and stock...

This paper studies the long-run risk embedded in the news about future investment-specific technology (IST). The IST news shock, which reflects future technological improvements in the production of investment goods such as computers, machines, and equipment, causes persistent future consumption...

We characterize how risk evolves during a crisis. Using high-frequency data, we find that the first two principal components (PCs) of the covariance matrix of global asset returns experience large, sudden, and temporary spikes coinciding with well-known crises - Covid-19 pandemic, Global...

This paper introduces a new information density indicator to provide a more comprehensive understanding of price reactions to news and, more specifically, to the sources of jumps in financial markets. Our information density indicator, which measures the abnormal amount of noisy “ticker”...

Over the last decade, it has become increasingly popular to use event studies with intraday asset pricing data to study the effect of macroeconomic events on the economy. The proponents of this approach argue that asset prices react to macroeconomic events very quickly and that if we know the...