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Cryptocurrencies, Mainstream Asset Classes and Risk Factors: A Study of Connectedness

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  • George Milunovich

Abstract

We investigate connectedness within and across two major groups or assets: i) five popular cryptocurrencies and ii) six major asset classes plus two commonly employed risk factors. Granger causality tests uncover six direct channels of causality from the elements of the mainstream assets/risk factors group to digital assets. There are also two statistically significant causal links going in the other direction. In order to provide some perspective on the magnitude of these linkages we estimate networks from forecast error variance decompositions. The estimated connectedness within the groups is relatively large, whereas the linkages across the two groups are small in comparison.

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  • George Milunovich, 2018. "Cryptocurrencies, Mainstream Asset Classes and Risk Factors: A Study of Connectedness," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 51(4), pages 551-563, December.
    • Handle: RePEc:bla:ausecr:v:51:y:2018:i:4:p:551-563
    DOI: 10.1111/1467-8462.12303
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    Cited by:

    1. Gilles Boevi Koumou, 2020. "Diversification and portfolio theory: a review," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 34(3), pages 267-312, September.
    2. Cameron Cornell & Lewis Mitchell & Matthew Roughan, 2023. "Vector Autoregression in Cryptocurrency Markets: Unraveling Complex Causal Networks," Papers 2308.15769, arXiv.org.
    3. Shahzad, Syed Jawad Hussain & Balli, Faruk & Naeem, Muhammad Abubakr & Hasan, Mudassar & Arif, Muhammad, 2022. "Do conventional currencies hedge cryptocurrencies?," The Quarterly Review of Economics and Finance, Elsevier, vol. 85(C), pages 223-228.
    4. Guizhou Wang & Kjell Hausken, 2022. "Competition between Variable–Supply and Fixed–Supply Currencies," Economies, MDPI, vol. 10(11), pages 1-20, October.
    5. Cameron Cornell & Lewis Mitchell & Matthew Roughan, 2024. "Enhancing Causal Discovery in Financial Networks with Piecewise Quantile Regression," Papers 2408.12210, arXiv.org.
    6. Guizhou Wang & Kjell Hausken, 2022. "The evolution of fixed-supply and variable-supply currencies," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-12, December.
    7. Diana Barro & Antonella Basso & Stefania Funari & Guglielmo Alessandro Visentin, 2024. "The Effects of the Introduction of Volume-Based Liquidity Constraints in Portfolio Optimization with Alternative Investments," Mathematics, MDPI, vol. 12(15), pages 1-26, August.
    8. Zaremba, Adam & Cakici, Nusret & Demir, Ender & Long, Huaigang, 2022. "When bad news is good news: Geopolitical risk and the cross-section of emerging market stock returns," Journal of Financial Stability, Elsevier, vol. 58(C).
    9. Milunovich, George, 2022. "Assessing the connectedness between Proof of Work and Proof of Stake/Other digital coins," Economics Letters, Elsevier, vol. 211(C).
    10. Victoria Dobrynskaya & Mikhail Dubrovskiy, 2022. "Cryptocurrencies Meet Equities: Risk Factors And Asset Pricing Relationships," HSE Working papers WP BRP 86/FE/2022, National Research University Higher School of Economics.

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