Abstract
Exchange rate course trajectory can be visualised in a binary representation. Binarization algorithm involves transformation of a course represented by tic data into a respective binary string. Each exchange rate increase by one discretization unit is assigned a binary value 1, and a respective decrease is assigned a 0. Properties and character of the exchange rate course in binary representation, that is, for example, influence of random fluctuations (noise) or relationship between current changes and historical data, are dependent on the appointed discretization unit. In the article a statistical analysis of an exchange rate trajectory for AUD/NZD currency pair in binary representation with different discretization units is presented. The analysis was performed in order to verify possible application of binary representation to create prediction systems based on binary representation state model (BRSM). Data used in performed research consisted of tick data for AUD/NZD from a five-year time period 2012–2017.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
