Uncertainty and Cryptocurrency Returns: A Lesson from Turbulent Times

Research output: Contribution to journalArticlepeer-review

Standard Standard

Uncertainty and Cryptocurrency Returns: A Lesson from Turbulent Times. / Będowska-Sójka, Barbara; Górka, Joanna; Hemmings, Danial et al.
In: International Review of Financial Analysis, Vol. 94, 103330, 07.2024.

Research output: Contribution to journalArticlepeer-review

HarvardHarvard

Będowska-Sójka, B, Górka, J, Hemmings, D & Zaremba, A 2024, 'Uncertainty and Cryptocurrency Returns: A Lesson from Turbulent Times', International Review of Financial Analysis, vol. 94, 103330. https://doi.org/10.1016/j.irfa.2024.103330

APA

Będowska-Sójka, B., Górka, J., Hemmings, D., & Zaremba, A. (2024). Uncertainty and Cryptocurrency Returns: A Lesson from Turbulent Times. International Review of Financial Analysis, 94, Article 103330. https://doi.org/10.1016/j.irfa.2024.103330

CBE

Będowska-Sójka B, Górka J, Hemmings D, Zaremba A. 2024. Uncertainty and Cryptocurrency Returns: A Lesson from Turbulent Times. International Review of Financial Analysis. 94:Article 103330. https://doi.org/10.1016/j.irfa.2024.103330

MLA

Będowska-Sójka, Barbara et al. "Uncertainty and Cryptocurrency Returns: A Lesson from Turbulent Times". International Review of Financial Analysis. 2024. 94. https://doi.org/10.1016/j.irfa.2024.103330

VancouverVancouver

Będowska-Sójka B, Górka J, Hemmings D, Zaremba A. Uncertainty and Cryptocurrency Returns: A Lesson from Turbulent Times. International Review of Financial Analysis. 2024 Jul;94:103330. Epub 2024 Apr 24. doi: 10.1016/j.irfa.2024.103330

Author

Będowska-Sójka, Barbara ; Górka, Joanna ; Hemmings, Danial et al. / Uncertainty and Cryptocurrency Returns: A Lesson from Turbulent Times. In: International Review of Financial Analysis. 2024 ; Vol. 94.

RIS

TY - JOUR

T1 - Uncertainty and Cryptocurrency Returns: A Lesson from Turbulent Times

AU - Będowska-Sójka, Barbara

AU - Górka, Joanna

AU - Hemmings, Danial

AU - Zaremba, Adam

PY - 2024/7

Y1 - 2024/7

N2 - This paper explores the interplay between economic uncertainty and cryptocurrency behaviour. Using data spanning from April 2018 to December 2022, we examine the relationship between ten major cryptocurrencies and a repertoire of uncertainty measures covering geopolitical events, economic policy, and commodity, equity, and bond markets. Cryptocurrency returns exhibit dynamic and positive correlation with stock market and oil volatility, but no significant association with other uncertainty proxies. In terms of volatility spillovers, the transmission from uncertainty indices to cryptocurrency markets is weak, but intensifies during turbulent periods such as the COVID-19 outbreak or the Ukraine war. Overall, while the pricing of cryptocurrencies remains largely disconnected from economic risks, there are doubts cast on their alleged ‘safe haven’ properties.

AB - This paper explores the interplay between economic uncertainty and cryptocurrency behaviour. Using data spanning from April 2018 to December 2022, we examine the relationship between ten major cryptocurrencies and a repertoire of uncertainty measures covering geopolitical events, economic policy, and commodity, equity, and bond markets. Cryptocurrency returns exhibit dynamic and positive correlation with stock market and oil volatility, but no significant association with other uncertainty proxies. In terms of volatility spillovers, the transmission from uncertainty indices to cryptocurrency markets is weak, but intensifies during turbulent periods such as the COVID-19 outbreak or the Ukraine war. Overall, while the pricing of cryptocurrencies remains largely disconnected from economic risks, there are doubts cast on their alleged ‘safe haven’ properties.

KW - cryptocurrency

KW - uncertainty indices

KW - spillovers

KW - networks

KW - COVID-19

KW - Ukrainian war

U2 - 10.1016/j.irfa.2024.103330

DO - 10.1016/j.irfa.2024.103330

M3 - Article

VL - 94

JO - International Review of Financial Analysis

JF - International Review of Financial Analysis

SN - 1057-5219

M1 - 103330

ER -