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“Distant or close cousins: Connectedness between cryptocurrencies and traditional currencies volatilities”

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  • Julián Andrada-Félix

    (Department of Quantitative Methods in Economics, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain)

  • Adrian Fernandez-Perez

    (Department of Finance, Auckland University of Technology, Auckland, New Zealand)

  • Simón Sosvilla-Rivero

    (Complutense Institute for Economic Analysis, Universidad Complutense de Madrid.)

Abstract

This paper examines the volatility interconnection between the main cryptocurrencies and traditional currencies during the period of February 2014-September 2018 using both a framework proposed by Diebold and Yilmaz (2014) and the modified approach of Antonakakis and Gabauer (2017). Our results suggest that a 34.43%, of the total variance of the forecast errors is explained by shocks across the eight examined cryptocurrencies and traditional currencies, indicating that the remainder 65.57% of the variation is due to idiosyncratic shocks. Furthermore, we find that volatility connectedness varies over time, with a surge during periods of increasing economic and financial instability. When we aggregate both markets by blocks, we find that the block of traditional currencies and the block of cryptocurrencies are mostly disconnected with periods of mild net volatility spill over between both blocks. Finally, our findings suggest that financial market variables are the main drivers of total connectedness within the traditional currencies, while the cryptocurrency-specific variables are identified as the key determinant for the total connectedness within the traditional currencies and a combination of business cycles and cryptocurrency-specific variables explain the directional volatility connectedness between both blocks.

Suggested Citation

  • Julián Andrada-Félix & Adrian Fernandez-Perez & Simón Sosvilla-Rivero, 2019. "“Distant or close cousins: Connectedness between cryptocurrencies and traditional currencies volatilities”," IREA Working Papers 201912, University of Barcelona, Research Institute of Applied Economics, revised Jul 2019.
  • Handle: RePEc:ira:wpaper:201912
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    Cited by:

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    2. Jens Klose, 2022. "Comparing cryptocurrencies and gold - a system-GARCH-approach," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(4), pages 653-679, December.
    3. Raza, Syed Ali & Ahmed, Maiyra & Aloui, Chaker, 2022. "On the asymmetrical connectedness between cryptocurrencies and foreign exchange markets: Evidence from the nonparametric quantile on quantile approach," Research in International Business and Finance, Elsevier, vol. 61(C).
    4. Donglian Ma & Pengxiang Zhai, 2021. "The Accuracy of the Tick Rule in the Bitcoin Market," SAGE Open, , vol. 11(2), pages 21582440211, May.
    5. Al-Shboul, Mohammad & Assaf, Ata & Mokni, Khaled, 2023. "Does economic policy uncertainty drive the dynamic spillover among traditional currencies and cryptocurrencies? The role of the COVID-19 pandemic," Research in International Business and Finance, Elsevier, vol. 64(C).
    6. Jens Klose, 2021. "Cryptocurrencies and Gold - Similarities and Differences," MAGKS Papers on Economics 202128, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    7. Al-Shboul, Mohammad & Assaf, Ata & Mokni, Khaled, 2022. "When bitcoin lost its position: Cryptocurrency uncertainty and the dynamic spillover among cryptocurrencies before and during the COVID-19 pandemic," International Review of Financial Analysis, Elsevier, vol. 83(C).

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    More about this item

    Keywords

    Exchange rates; Cryptocurrencies; Connectedness; Time-varying parameters; Stepwise regressions. JEL classification:C53; E44; F31; G15.;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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