Arbeitspapier

Non-linearities, cyber attacks and cryptocurrencies

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 - 28/2/2019. 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.

Sprache
Englisch

Erschienen in
Series: CESifo Working Paper ; No. 7692

Klassifikation
Wirtschaft
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Money and Interest Rates: General
General Financial Markets: General (includes Measurement and Data)
Thema
crypto currencies
cyber attacks
regime switching

Ereignis
Geistige Schöpfung
(wer)
Caporale, Guglielmo Maria
Kang, Woo-Young
Spagnolo, Fabio
Spagnolo, Nicola
Ereignis
Veröffentlichung
(wer)
Center for Economic Studies and ifo Institute (CESifo)
(wo)
Munich
(wann)
2019

Handle
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Caporale, Guglielmo Maria
  • Kang, Woo-Young
  • Spagnolo, Fabio
  • Spagnolo, Nicola
  • Center for Economic Studies and ifo Institute (CESifo)

Entstanden

  • 2019

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