Volatility Interdependence Between Cryptocurrencies, Equity, and Bond Markets

Etienne Harb (), Charbel Bassil, Talie Kassamany () and Roland Baz ()
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Etienne Harb: ESSCA School of Management
Talie Kassamany: Notre Dame University, Faculty of Business Administration and Economics
Roland Baz: Notre Dame University – Main Campus

Computational Economics, 2024, vol. 63, issue 3, No 1, 981 pages

Abstract: Abstract This paper investigates (i) the return-volatility spillover between Bitcoin, Ethereum, Ripple, and Litecoin, (ii) the interdependence between cryptocurrencies’ volatility and the US equity and bond markets’ volatility, and (iii) the impact of the Covid-19 outbreak on the cryptocurrencies’ return-volatility. A two-step estimation approach is considered where Univariate General Autoregressive Conditional Heteroskedastic models are estimated to model the volatility of the four cryptocurrencies then a Simultaneous Equation Model is estimated to model the interconnection between the cryptocurrency volatilities, the US equity and bond markets’ volatility, and Covid-19 outbreak. We show that return-volatility spillovers exist among Bitcoin, Ethereum, and Litecoin while Ripple is the main transmitter of shocks. We find that the cryptocurrency market is detached from the US stock market but not from the US bond market. Finally, we show that a high economic and financial uncertainty in the US stock market due to pandemic outbreaks affects the price of Litecoin, Bitcoin, and Ethereum. However, shocks are short-lived. Our findings have practical implications; as the evidence of volatility spillovers among cryptocurrencies and their relative isolation from the majority of mainstream assets should be factored into the valuation and portfolio diversification strategies of investors. In crisis times such as those induced by Covid-19, investors who seek protection from downward movements in bond markets could benefit from taking a position in Ethereum. Policymakers can also rely on our findings to time their intervention to stabilize markets and control uncertainties inherent to stressful periods.

Keywords: Cryptocurrencies; Volatility spillover; GARCH-SEM; Structural breaks; Pandemics (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10614-022-10318-7

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