Does the LEGR ETF have Safe Haven Properties against Cryptocurrencies during the Pandemic? A DCC and Spectral Analysis

Abstract: This study explores dynamic correlation between the LEGR ETF, focused on blockchain technology, and key cryptocurrencies under two protocols: proof-of-work and proof-of-stake. Using a BEKK model, we estimate dynamic conditional correlations (DCCs) between LEGR and cryptocurrencies. Additionally, an ordinary least squares (OLS) approach examines correlation patterns during the pandemic, while wavelet coherence analysis provides insights into co-movements across time and frequency domains. Results reveal a statistically significant inverse relationship between LEGR and most cryptocurrencies (excluding Solana and XRP) during periods of high uncertainty, such as the pandemic, highlighting their role as safe havens. These findings offer critical implications for investors, central banks, and policymakers regarding the LEGR ETF's potential as a secure investment option during times of market instability. Keywords: Cryptocurrency, BEKK-DCC, Spectral Analysis, Safe-Heaven, COVID-19 JEL Classification Number: G11, G15

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-29
DOI
https://doi.org/10.5281/zenodo.15107097
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
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article

Does the LEGR ETF have Safe Haven Properties against Cryptocurrencies during the Pandemic? A DCC and Spectral Analysis

Zenodo (CERN European Organization for Nuclear Research)
Blockchain Technology Applications and Security
article

Does the LEGR ETF have Safe Haven Properties against Cryptocurrencies during the Pandemic? A DCC and Spectral Analysis

article en

Abstract

Abstract: This study explores dynamic correlation between the LEGR ETF, focused on blockchain technology, and key cryptocurrencies under two protocols: proof-of-work and proof-of-stake. Using a BEKK model, we estimate dynamic conditional correlations (DCCs) between LEGR and cryptocurrencies. Additionally, an ordinary least squares (OLS) approach examines correlation patterns during the pandemic, while wavelet coherence analysis provides insights into co-movements across time and frequency domains. Results reveal a statistically significant inverse relationship between LEGR and most cryptocurrencies (excluding Solana and XRP) during periods of high uncertainty, such as the pandemic, highlighting their role as safe havens. These findings offer critical implications for investors, central banks, and policymakers regarding the LEGR ETF's potential as a secure investment option during times of market instability. Keywords: Cryptocurrency, BEKK-DCC, Spectral Analysis, Safe-Heaven, COVID-19 JEL Classification Number: G11, G15

Zenodo (CERN European Organization for Nuclear Research)
University of Ioannina (GR), National and Kapodistrian University of Athens (GR), University of West Attica (GR)
Good health and well-being
Openalex Percentile: Top 45%
Blockchain Technology Applications and Security
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