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Dependency analysis between Bitcoin and selected global currencies

Author

Listed:
  • Beata Szetela

    (Rzeszow Technical University)

  • Grzegorz Mentel

    (Rzeszow Technical University)

  • Stanislaw Gedek

    (Rzeszow Technical University)

Abstract

In this research we have tried to identify the relationship between the exchange rate for bitcoin to the leading currencies such as Dollar, Euro, British Pound and Chinese Yuan and Polish zloty as well. We have applied ARMA and GARCH models to model and to analyze the condi-tional mean and variance. The appliance of GARCH models have identified some dependency in explanation conditional variance between bitcoin and US Dollar, Euro and Yuan, while AR-MA analysis have shown no relations between bitcoin and other dependent variables.

Suggested Citation

  • Beata Szetela & Grzegorz Mentel & Stanislaw Gedek, 2016. "Dependency analysis between Bitcoin and selected global currencies," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 16, pages 133-144.
    • Handle: RePEc:cpn:umkdem:v:16:y:2016:p:133-144
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    References listed on IDEAS

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    Cited by:

    1. Tomaso Aste, 2019. "Cryptocurrency market structure: connecting emotions and economics," Digital Finance, Springer, vol. 1(1), pages 5-21, November.
    2. Mehmet Levent ERDAS & Abdullah Emre CAGLAR, 2018. "Analysis of the relationships between Bitcoin and exchange rate, commodities and global indexes by asymmetric causality test," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 9, pages 27-45, December.
    3. García-Monleón, Fernando & Danvila-del-Valle, Ignacio & Lara, Francisco J., 2021. "Intrinsic value in crypto currencies," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    4. Aharon, David Yechiam & Qadan, Mahmoud, 2019. "Bitcoin and the day-of-the-week effect," Finance Research Letters, Elsevier, vol. 31(C).
    5. Beata Szetela & Grzegorz Mentel & Yuriy Bilan & Urszula Mentel, 2021. "The relationship between trend and volume on the bitcoin market," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(1), pages 25-42, March.
    6. Manavi, Seyed Alireza & Jafari, Gholamreza & Rouhani, Shahin & Ausloos, Marcel, 2020. "Demythifying the belief in cryptocurrencies decentralized aspects. A study of cryptocurrencies time cross-correlations with common currencies, commodities and financial indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 556(C).
    7. Tatiana Morozova & Ravil Akhmadeev & Liubov Lehoux & Alexei Valerievich Yumashev & Galina Vladimirovna Meshkova & Marina Lukiyanova, 2020. "Crypto asset assessment models in financial reporting content typologies," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(3), pages 2196-2212, March.
    8. Cem Cagri Donmez & Doruk Sen & Ahmet Fatih Dereli & M. Bilal Horasan & Cagri Yildiz & Nergis Feride Kaplan Donmez, 2021. "An Investigation of Fiat Characterization and Evolutionary Dynamics of the Cryptocurrency Market," SAGE Open, , vol. 11(1), pages 21582440219, February.

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    More about this item

    Keywords

    ARMA; Bitcoin; Dependency; GARCH; Variability;
    All these keywords.

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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