Toggle Main Menu Toggle Search

Open Access padlockePrints

The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Trading European Central Bank rumours on the EUR-USD exchange rate market

Lookup NU author(s): Baback Roodbar Mohammadi, Dr Hugh Metcalf, Dr Fabrizio Casalin

Downloads


Licence

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Abstract

© 2018 Elsevier Inc. This paper investigates whether the release of market-relevant news in the form of rumours on Twitter can explain the excess of market volatility previously attributed to private information, speculation, and noise traders. We define a simple theoretical model to show that the systematic information content of such rumours should result in detectable price effects in macro-markets. We then pinpoint the arrival of 63 rumours of forthcoming ECB actions over a 420-day sample of one-minute spot EUR-USD rates, and show that there is a real-time, intraday increase in market volatility. This largely unexplored information set can potentially account for significant amounts of unexplained volatility in macro-markets and, therefore, identify a possible explanation of one of the most prominent puzzles in price discovery research.


Publication metadata

Author(s): Roodbar B, Metcalf H, Casalin F

Publication type: Article

Publication status: Published

Journal: International Review of Financial Analysis

Year: 2019

Volume: 61

Pages: 53-70

Print publication date: 01/01/2019

Online publication date: 09/11/2018

Acceptance date: 06/11/2018

Date deposited: 10/01/2019

ISSN (print): 1057-5219

ISSN (electronic): 1873-8079

Publisher: Elsevier

URL: https://doi.org/10.1016/j.irfa.2018.11.001

DOI: 10.1016/j.irfa.2018.11.001


Altmetrics

Altmetrics provided by Altmetric


Share