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Non-linearities, cyber attacks and cryptocurrencies

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Date

Authors

Caporale, Guglielmo
Kang, Woo-Young
Spagnolo, Fabio
Spagnolo, Nicola

Journal Title

Journal ISSN

Volume Title

Publisher

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

Description

Citation

Source

Finance Research Letters

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Entity type

Access Statement

Open Access

License Rights

Creative Commons Attribution 4.0 International License

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