Non-linearities, cyber attacks and cryptocurrencies
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Caporale, Guglielmo
Kang, Woo-Young
Spagnolo, Fabio
Spagnolo, Nicola
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Elsevier BV
Abstract
This paper uses a Markov-switching non-linear specification to analyse the effects of cyber attacks on returns in the case of four cryptocurrencies (Bitcoin, Ethernam, Litecoin and Stellar)
over the period 8/8/2015–2/28/2019. The analysis considers both cyber attacks in general and
those targeting cryptocurrencies in particular, and also uses cumulative measures capturing
persistence. On the whole, the results suggest the existence of significant negative effects of cyber
attacks on the probability for cryptocurrencies to stay in the low volatility regime. This is an
interesting finding, that confirms the importance of gaining a deeper understanding of this form
of crime and of the tools used by cybercriminals in order to prevent possibly severe disruptions to
markets
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Finance Research Letters
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Open Access
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Creative Commons Attribution 4.0 International License
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