Abstract
In this paper, we measure the asymmetric volatility spillover among six virtual financial asset (VFA) markets from January 1, 2014, to September 30, 2017, using the volatility spillover index based on a Markov regime-switching vector autoregressive (VAR) model and conduct a static and dynamic analysis under different regimes. The static results show that asymmetric effects of total, internal and net volatility spillover, on average, exist in all six VFA markets under different regimes. The dynamic results show that total, directional, and net spillover have significantly asymmetric effects. Thus, the government should monitor the specific VFA regimes and improve market regulation.
| Original language | English |
|---|---|
| Pages (from-to) | 1293-1311 |
| Number of pages | 19 |
| Journal | Emerging Markets Finance and Trade |
| Volume | 56 |
| Issue number | 6 |
| Early online date | 10 Oct 2019 |
| DOIs | |
| Publication status | Published - 2 May 2020 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- asymmetric effect
- Bitcoin
- Markov regime-switching VAR model
- virtual financial assets
- volatility spillover
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