The frequency of one-day abnormal returns and price fluctuations in the forex
Guglielmo Maria Caporale,
Alex Plastun and
Viktor Oliinyk
Journal of Applied Economics, 2021, vol. 24, issue 1, 401-415
Abstract:
This paper analyses the explanatory power of the frequency of abnormal returns in the FOREX over the period 1994–2019. The following hypotheses are tested: frequency of abnormal returns is asignificant driver of price movements (H1); it does not exhibit seasonal patterns (H2); it is stable over time (H3). For our purposes avariety of statistical methods are applied including ADF, PP and KPSS tests, Granger causality tests, correlation analysis, regression analysis, Probit and Logit regression models. No evidence is found of either seasonal patterns or instability. However, there appears to be astrong positive (negative) relationship between returns in the FOREX and the frequency of positive (negative) abnormal returns. On the whole, the results suggest that the latter is an important driver of price dynamics in the FOREX, is informative about crises and can be the basis of profitable trading strategies, which is inconsistent with market efficiency.
Date: 2021
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/15140326.2021.1953914 (text/html)
Access to full text is restricted to subscribers.
Related works:
Working Paper: The Frequency of One-Day Abnormal Returns and Price Fluctuations in the FOREX (2020) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:recsxx:v:24:y:2021:i:1:p:401-415
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/recs20
DOI: 10.1080/15140326.2021.1953914
Access Statistics for this article
Journal of Applied Economics is currently edited by Jorge M. Streb
More articles in Journal of Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().