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Portfolio diversification with virtual currency: Evidence from bitcoin

Guesmi, Khaled, Saadi, Samir, Abid, Ilyes, Ftiti, Zied·2019·International Review of Financial Analysis

Abstract

The paper investigates the proprieties of Bitcoin in the financial markets. Specifically, we explore the conditional cross effects and volatility spillover between Bitcoin and financial indicators using different multivariate GARCH specifications. The nature of interaction between Bitcoin and financial variables and their transmission mechanisms are taken into account when analyzing the diversification and hedging effectiveness across gold asset and stock market. Our findings suggest that all models confirm the significant returns and volatility spillovers. More importantly, we find that VARMA (1,1)-DCC-GJR-GARCH is the best-fit model for modeling the joint dynamics of a variety of financial assets. We also show that a short position in the Bitcoin market allows hedging the risk investment for all different financial assets. Finally, hedging strategies involving gold, oil, equities and Bitcoin reduce considerably the portfolio's risk, as compared to the risk of the portfolio made up of gold, oil and equities only.

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Crossref · 10.1016/j.irfa.2018.03.004

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Metadata

Authors
Guesmi, K., Saadi, S., Abid, I., & Ftiti, Z.
Venue
International Review of Financial Analysis
Publisher
Elsevier BV
Published
2019-05
Volume
63
Pages
431-437
ISSN
1057-5219 (ISSN-L)
OpenAlex
W2793906868
Cited by
631
References
29
FWCI
78.97
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Portfolio diversification with virtual currency: Evidence from bitcoin. https://app.cochat.ai/papers/10.1016/j.irfa.2018.03.004
The paper
Guesmi, K., Saadi, S., Abid, I., & Ftiti, Z. (2019). Portfolio diversification with virtual currency: Evidence from bitcoin. International Review of Financial Analysis. https://doi.org/10.1016/j.irfa.2018.03.004

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.