Foreign exchange markets: Price response and spread impact
Juan C. Henao-Londono and
Thomas Guhr
Physica A: Statistical Mechanics and its Applications, 2022, vol. 589, issue C
Abstract:
We carry out a detailed large-scale data analysis of price response functions in the spot foreign exchange market for different years and different time scales. Such response functions provide quantitative information on the deviation from Markovian behavior. The price response functions show an increase to a maximum followed by a slow decrease as the time lag grows, in trade time scale and in physical time scale, for all analyzed years. Furthermore, we use a price increment point (pip) bid–ask spread definition to group different foreign exchange pairs and analyze the impact of the bid–ask spread in the price response functions. We find that large pip bid–ask spreads have a stronger impact on the response. This is similar to what has been found in stock markets.
Keywords: Econophysics; Complex systems; Statistical physics; Price response function; Bid–ask spread impact; Foreign exchange market (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437121008591
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
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:eee:phsmap:v:589:y:2022:i:c:s0378437121008591
DOI: 10.1016/j.physa.2021.126587
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().