Cryptocurrency volatility, volatility spillovers and the effect of global investor sentiment.
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Date
2021
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Abstract
Cryptocurrencies continue to enjoy attention from investors and policymakers and their
growing usage has fortified this attention. However, it is their volatility and the volatility
spillovers among the cryptocurrencies have been most intriguing. Various factors such as
susceptibility to speculative pressures, uncertainty regarding their valuation, and the lack of
regulation have been forwarded as possible explanations. However, these factors have not fully
explained cryptocurrency volatility and volatility spillovers, suggesting that there could be
other salient factors. In this study, investor sentiment, described as the noise-driven investors'
perception of the risk and cash flows of an asset, was forwarded as one of those salient factors.
Specifically, this study sought to examine the nature of volatility and volatility spillovers
among currencies and their subjectivity to global investor sentiment. Bitcoin, Ethereum and
Ripple and an investor sentiment index constructed from a set of five proxies over a period
spanning February 2018 to August 2021 were employed. For the analysis, the study employed
GARCH models to examine the nature of cryptocurrency volatility, the ADCC-GARCH
framework and the Diebold-Yilmaz spillover index to examine the nature of cryptocurrency
volatility spillovers, and the Toda-Yamamoto model to examine the causality between
cryptocurrencies and investor sentiment.
The study found evidence of significant sentiment effects in both mean and variance equations
of the cryptocurrencies. Similarly, the analysis of comovements and spillovers showed that
there were significant sentiment effects on the phenomena. Failure to account for investor
sentiment could, therefore, lead to poor estimation of volatility and volatility spillovers. The
results have implications for investors, speculators, and policymakers alike. The results
obtained provided an insight on the effect of investor sentiment on cryptocurrency volatility
and showed how the market reacts to the investors' behaviour where their actions influence
volatility. The investors and speculators may then use the insight on sentiment to determine the
market volatility to earn returns accordingly. Further, policymakers can use this to determine
the optimal regulations to prevent excessive volatility in this market. The study, therefore
contributes to the debate on the drivers of cryptocurrency volatility. It also contributes to
literature by introducing a measure of investor sentiment.
Description
Masters Degree. University of KwaZulu-Natal, Durban.