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Modelling of Currency Exchange Rates Using a Binary-Temporal Representation

In: Contemporary Trends in Accounting, Finance and Financial Institutions

Author

Listed:
  • Michał Dominik Stasiak

    (Poznań University of Economic and Business)

Abstract

In the following article a new method for modelling exchange rates with a binary-temporal representation is proposed. The presented model allows for an approximation of change probabilities for course trajectory, depending on the direction and duration of previous change. Model parameters are appointed based on statistical analysis of a binary-temporal representation of 5-year historical tick data for AUD/NZD exchange rate. The main characteristics of the model are parameter’s independence from any superior trends and a possibility of application in algorithms of automatic trade systems.

Suggested Citation

  • Michał Dominik Stasiak, 2018. "Modelling of Currency Exchange Rates Using a Binary-Temporal Representation," Springer Proceedings in Business and Economics, in: Taufiq Choudhry & Jacek Mizerka (ed.), Contemporary Trends in Accounting, Finance and Financial Institutions, pages 97-110, Springer.
    • Handle: RePEc:spr:prbchp:978-3-319-72862-9_8
    DOI: 10.1007/978-3-319-72862-9_8
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    Citations

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    Cited by:

    1. Krzysztof Piasecki & Michał Dominik Stasiak, 2020. "Optimization Parameters of Trading System with Constant Modulus of Unit Return," Mathematics, MDPI, vol. 8(8), pages 1-17, August.
    2. Krzysztof Piasecki & Michał Dominik Stasiak, 2019. "The Forex Trading System for Speculation with Constant Magnitude of Unit Return," Mathematics, MDPI, vol. 7(7), pages 1-23, July.
    3. Michał Dominik Stasiak, 2018. "A study on the influence of the discretisation unit on the effectiveness of modelling currency exchange rates using the binary-temporal representation," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 28(2), pages 57-70.
    4. Michał Dominik Stasiak, 2020. "Candlestick—The Main Mistake of Economy Research in High Frequency Markets," IJFS, MDPI, vol. 8(4), pages 1-15, October.
    5. Michał Dominik Stasiak, 2022. "Algoritmic Trading System Based on State Model for Moving Average in a Binary-Temporal Representation," Risks, MDPI, vol. 10(4), pages 1-15, March.

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