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<p>Our study presents an in-depth analysis of the connectedness in returns among five major cryptocurrencies over a span from late 2017 to 2023. Our work introduces novel insights by employing a recently developed bootstrap-after-bootstrap method of Greenwood-Nimmo et al. (Econ Model, 140, 106843, 2024) to establish a link between increases in connectedness and various systematic events. We find that major events—including both market and policy-driven shocks—trigger substantial increases in connectedness, with transmission effects persisting for up to one month. For the period under research, we identify Bitcoin and Ethereum as net return transmitters, mainly to Binance coin and Ripple. Moreover, we find that these transmissions increased by up to 20% for up to one month after the shocks occurred. Furthermore, we incorporate event-driven adjustments in portfolio optimization, quantifying optimal asset weight rebalancing in response to cryptocurrency market shocks. Our findings reveal that during the research period, Cardano and Ripple were the most effective choices in portfolio optimization. The implications of this study are significant for devising strategies in portfolio management and risk hedging, offering valuable guidance for policy formulation in the financial sector.</p>

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Event-driven changes in return connectedness among cryptocurrencies

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年1月14日

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  • Peter Albrecht,
  • Evžen Kočenda

摘要

Our study presents an in-depth analysis of the connectedness in returns among five major cryptocurrencies over a span from late 2017 to 2023. Our work introduces novel insights by employing a recently developed bootstrap-after-bootstrap method of Greenwood-Nimmo et al. (Econ Model, 140, 106843, 2024) to establish a link between increases in connectedness and various systematic events. We find that major events—including both market and policy-driven shocks—trigger substantial increases in connectedness, with transmission effects persisting for up to one month. For the period under research, we identify Bitcoin and Ethereum as net return transmitters, mainly to Binance coin and Ripple. Moreover, we find that these transmissions increased by up to 20% for up to one month after the shocks occurred. Furthermore, we incorporate event-driven adjustments in portfolio optimization, quantifying optimal asset weight rebalancing in response to cryptocurrency market shocks. Our findings reveal that during the research period, Cardano and Ripple were the most effective choices in portfolio optimization. The implications of this study are significant for devising strategies in portfolio management and risk hedging, offering valuable guidance for policy formulation in the financial sector.