Volatility Spillover in the Cryptocurrency market: Categorization of the Cryptocurrency Market Based on their Primary Use and the Effects of COVID-19
Master thesis
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Date
2020Metadata
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- Master of Science [1622]
Abstract
Utilizing the generalized spillover index developed by Diebold and Yilmaz (2009,
2012), we investigate the volatility connectedness between an index consisting of
nine selected cryptocurrencies, S&P 500, Gold, and Copper. Furthermore, we
study the connectedness and volatility spillover within the nine cryptocurrencies
in the perspective of the categorization of the cryptocurrency market developed by
Corbet et al. (2020b). To our knowledge, this is the first study investigating the
connectedness between these categories. Lastly, we analyze the initial effect of the
COVID-19 pandemic by using an extended set of data to June 2020 on the
connectedness within the cryptocurrency market. We also test the connectedness
between the cryptocurrency market, S&P 500, and Gold during the same period.
We find that the cryptocurrency market has a weak connectedness with other
financial markets, indicating that most of the volatility comes from within the
cryptocurrency market. When studying the volatility spillover within the
cryptocurrency market, in the perspective of categorizations, our results show that
most of the volatility is within the respective categories. Adding to this, there are
some key differences in the relationship of the categories. Finally, the COVID-19
pandemic increased the volatility and the spillovers across all markets. However,
the effects do not affect the results for the cryptocurrencies substantially.
Description
Masteroppgave(MSc) in Master of Science in Business, Finance - Handelshøyskolen BI, 2020