We develop a simple approach to identify economic news and monetary shocks at a high frequency. The approach is used to examine financial market developments in the United States following the Federal Reserve’s May 22, 2013 taper talk suggesting that it would begin winding down its...

This paper analyses the intraday co-movements between returns on several commodity markets and on the stock market in the United States over the 1997-2011 period. By exploiting a new high frequency database, we compute various rolling correlations at (i) 1-hour, (ii) 5-minute, (iii) 10-second,...

Textual analysis is performed in a total of 13145 high frequency (intraday) news: 6536 news from the Dow Jones Newswires and 6609 news from the Thomson Reuters Newswires. Selected news are Euro-periphery (Portugal, Ireland, Italy, Greece, Spain) crisis-related news which contain a number of...

Two forces have reshaped global securities markets in the last decade: Exchanges operate at much faster speeds and the trading landscape has become more fragmented. In order to analyze the positive and normative implications of these evolutions, we study a framework that captures (i)...

When analysing the volatility related to high frequency financial data, mostly non-parametric approaches based on realised or bipower variation are applied. This article instead starts from a continuous time diffusion model and derives a parametric analog at high frequency for it, allowing...

This study assesses how the coronavirus pandemic (COVID-19) affects the intraday multifractal properties of eight European stock markets by using five-minute index data ranging from 1 January 2020 to 23 March 2020. The Hurst exponents are calculated by applying multifractal detrended fluctuation...

The market for cryptocurrencies has experienced extremely turbulent conditions in recent times, and we can clearly identify strong bull and bear market phenomena over the past year. In this paper, we utilise algorithms for detecting turnings points to identify both bull and bear phases in...