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Dynamic Linkages and Economic Role of Leading Cryptocurrencies in an Emerging Market

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  • Maurice Omane-Adjepong

    (University of the Witwatersrand)

  • Imhotep Paul Alagidede

    (University of the Witwatersrand)

Abstract

Motivated by the exponential growth of the cryptocurrency market and the need for more empirical work to understand the dynamics of the young financial market, this paper, through time- and frequency-varying techniques examines the extent of linkages between leading cryptocurrencies and diverse traditional assets of emerging economies. Using variants of the multivariate conditional heteroscedasticity models and a dummy, we assess the economic potential, each for Bitcoin and Ripple, from the perspective of an emerging market investor. The results, from both time and frequency analyses indicate that the two major cryptocurrency assets have not yet coupled with the emerging assets, as weaker to lower-moderate correlations characterise movements of the pairs. Additionally, our results unveil a multifaceted economic benefit of Bitcoin and Ripple, however, this varies across emerging asset classes (forex and equities), country-specific assets, and regional emerging market groupings. The findings hold some implications for investors, regarding portfolio diversification and risk management.

Suggested Citation

  • Maurice Omane-Adjepong & Imhotep Paul Alagidede, 2020. "Dynamic Linkages and Economic Role of Leading Cryptocurrencies in an Emerging Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 27(4), pages 537-585, December.
  • Handle: RePEc:kap:apfinm:v:27:y:2020:i:4:d:10.1007_s10690-020-09306-4
    DOI: 10.1007/s10690-020-09306-4
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    Cited by:

    1. Min Bai & Ly Ho, 2023. "How do gold and oil react to the COVID-19 pandemic: A review," Energy & Environment, , vol. 34(7), pages 2876-2902, November.
    2. Andreas Renard Widarto & Harjum Muharam & Sugeng Wahyudi & Irene Rini Demi Pangestuti, 2022. "ASEAN-5 and Crypto Hedge Fund: Dynamic Portfolio Approach," SAGE Open, , vol. 12(2), pages 21582440221, April.
    3. Balcilar, Mehmet & Ozdemir, Huseyin & Agan, Busra, 2022. "Effects of COVID-19 on cryptocurrency and emerging market connectedness: Empirical evidence from quantile, frequency, and lasso networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    4. Muhammad Owais Qarni & Saiqb Gulzar, 2021. "Portfolio diversification benefits of alternative currency investment in Bitcoin and foreign exchange markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-37, December.
    5. Maurice Omane‐Adjepong & Imhotep Paul Alagidede, 2021. "Modelling Asymmetry and Leverage in Cryptocurrencies and Emerging Financial Markets," Economic Papers, The Economic Society of Australia, vol. 40(2), pages 152-166, June.

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    More about this item

    Keywords

    Cryptocurrency; Emerging assets; RWWC; Diversifier; Hedge; Safe haven;
    All these keywords.

    JEL classification:

    • 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
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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