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Investment Decision Support on Precious Metal Market with Use of Binary Representation

In: Effective Investments on Capital Markets

Author

Listed:
  • Krzysztof Piasecki

    (Poznan University of Economics)

  • Michał Dominik Stasiak

    (Poznan University of Economics)

  • Żaneta Staszak

    (Poznan University of Technology)

Abstract

In this paper, a detailed analysis of HFT systems’ properties is performed with use of binary exchange rate representation for precious metals: gold and silver. The binary representation is based on transforming tick data into a binary string. In order to assess the probabilities of changes on the researched exchange market, authors use mentioned binary representation. This paper contains an analysis of the following assessment criteria: expected annual number of transaction, systemic probability of success, expected single unitary payment, expected annual unitary payment, transaction risk assessment, single unitary risk bonus, annual unitary risk bonus, expected return rate, expected interest rate, return risk premium and interest risk premium. The research was performed on five-year historical data for precious metals to dollar exchange rates (XAU/USD and XAG/USD), with use of dedicated Mql4 and C++ software created by the authors.

Suggested Citation

  • Krzysztof Piasecki & Michał Dominik Stasiak & Żaneta Staszak, 2019. "Investment Decision Support on Precious Metal Market with Use of Binary Representation," Springer Proceedings in Business and Economics, in: Waldemar Tarczyński & Kesra Nermend (ed.), Effective Investments on Capital Markets, chapter 0, pages 423-438, Springer.
    • Handle: RePEc:spr:prbchp:978-3-030-21274-2_29
    DOI: 10.1007/978-3-030-21274-2_29
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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.

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