Analysis of the EUR/USD exchange rate in binary-temporal representation
Michał Dominik Stasiak
Additional contact information
Michał Dominik Stasiak: Poznan University of Economics and Business
Research Papers in Economics and Finance, 2017, vol. 2, issue 2, 39-45
Abstract:
An exchange rate between two currencies can be described in a binary representation. The binarization algorithm transforms the exchange rate represented by tick data into a binary string. Each course change equal to a given discretization unit is assigned a binary value indicating the direction of the change. The performed statistical analysis confirms the existence of a correlation between previous course changes and the probability of future direction of the changes. In order to conduct a more detailed analysis of the exchange rate in a binary representation, each shift in the trajectory can be assigned a parameter representing the duration of the change. Depending on the current market dynamics, course trajectory changes may occur at different moments in time. The main goal of the presented research is to verify the existence of any dependences between the duration of a change and the probability of future direction of the change.
Keywords: foreign exchange market; high frequency econometrics; technical analysis; modeling of currency exchange rates (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:
Downloads: (external link)
https://journals.ue.poznan.pl/REF/article/view/51 Abstract page (text/html)
https://journals.ue.poznan.pl/REF/article/download/51/17 Full text (application/pdf)
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:jbl:ref000:v:2:y:2017:i:2:id:51
Access Statistics for this article
More articles in Research Papers in Economics and Finance from Poznań University of Economics and Business
Bibliographic data for series maintained by Anna Bogajewska-Szymańska ().