Do clean and dirty cryptocurrencies connect with financial assets differently? The role of economic policy uncertainty

Kun Duan, Yanqi Zhao, Andrew Urquhart, Yingying Huang

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Abstract

This paper analyzes time-varying networks of clean and dirty cryptocurrencies with green and traditional assets through a dynamic connectedness approach established by the time-varying parameter vector autoregressive (TVP-VAR) model. The underlying asymmetry of the dynamic pairwise connectedness when facing uncertainty shocks is further studied through a non-parametric quantile causality method. Our results demonstrate a limited information transmission of volatility from cryptocurrencies to both traditional and green assets, while the connection of clean cryptocurrencies (CI) with the financial system is even weaker compared to that of dirty cryptocurrencies (DI), especially after the COVID-19 pandemic. In contrast, connection within the financial system is found to be relatively closer. Moreover, causal relationships between economic policy uncertainty (EPU) and cryptocurrency-financial asset linkages are generally enhanced after the pandemic onset, while such the causality of uncertainty with DI related asset linkages tends to be even stronger. Most of the above causalities are shown to be negligible during market depression, further implying the sheltering role of the market linkages against uncertainty.
Original languageEnglish
Article number107079
JournalEnergy Economics
Volume127
Issue numberPart A
Early online date6 Oct 2023
DOIs
Publication statusPublished - Nov 2023

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