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  4. A statistical risk assessment of Bitcoin and its extreme tail behavior
 

A statistical risk assessment of Bitcoin and its extreme tail behavior

URI
https://arbor.bfh.ch/handle/arbor/38907
Version
Published
Date Issued
2017
Author(s)
Osterrieder, Jörg Robert  
Lorenz, Julian
Type
Article
Language
English
Subjects

Bitcoin

digital currencies

extreme value theory

tail events

risk management

Abstract
We provide an extreme value analysis of the returns of Bitcoin. A particular focus is on the tail risk characteristics and we will provide an in-depth univariate extreme value analysis. Those properties will be compared to the traditional exchange rates of the G10 currencies versus the US dollar. For investors - especially institutional ones - an understanding of the risk characteristics is of utmost importance. So for bitcoin to become a mainstream investable asset class, studying these properties is necessary. Our findings show that the bitcoin return distribution not only exhibits higher volatility than traditional G10 currencies, but also stronger non-normal characteristics and heavier tails. This has implications for risk management, financial engineering (such as bitcoin derivatives) - both from an investor's as well as from a regulator's point of view. To our knowledge, this is the first detailed study looking at the extreme value behaviour of the cryptocurrency Bitcoin.
Subjects
HG Finance
DOI
10.24451/arbor.17400
https://doi.org/10.24451/arbor.17400
Publisher DOI
10.1142/S2010495217500038
Journal
Annals of Financial Economics
ISSN
2010-4952
Publisher URL
https://www.worldscientific.com/doi/10.1142/S2010495217500038
Organization
Institut Applied Data Science & Finance  
Wirtschaft  
Volume
12
Issue
01
Publisher
World Scientific Publishing Company
Submitter
OsterriederJ
Citation apa
Osterrieder, J. R., & Lorenz, J. (2017). A statistical risk assessment of Bitcoin and its extreme tail behavior. In Annals of Financial Economics (Vol. 12, Issue 01). World Scientific Publishing Company. https://doi.org/10.24451/arbor.17400
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