Non-fungible tokens (NFTs) revolutionize crypto-landscape, becoming popular among investors and general public. This first-ever study of coherence between returns of NFTs and major assets employs the wavelet approach. The pairwise returns coherence between the considered markets grows throughout the Covid-19. Before the pandemic, NFTs lag behind stocks (2017) and bitcoin (2018), while lead gold (2018). We reveal that the returns coherence between NFTs and other assets is high/low for the two-week-plus/below-to-weeks investment horizons. We refine Aharon and Demir \u27 s (2021) findings stating that NFTs absorbed risk during Covid-19 by demonstrating that this conclusion holds only in the short-run for below-two-weeks horizons
We use wavelet coherence analysis on global COVID-19 fear index and, soft commodities’ spot and futu...
We apply wavelet analyses to study how the Covid-19 fueled panic influenced the volatility of ESG (e...
This study contributes to the debate on safe-haven characteristics of environmental, social, and gov...
We study the relationship between return and volatility of non-fungible tokens (NFT) segments and me...
We use wavelet coherence analysis on global COVID-19 fear index, cryptocurrency market specific impl...
This study adds to the inconclusive debate on safe-haven properties of cryptocurrencies during Covid...
Using wavelet coherence framework on five major cryptocurrencies and three major stock market indice...
We apply wavelet analyses to study how the Covid pandemic influenced the volatility of commodity pri...
This study examines how the COVID-19 pandemic has affected the connectedness between non-fungible to...
© 2020 Elsevier B.V. We apply wavelet analyses to examine the impact of the Covid-19 fueled panic on...
The wavelet approach covering simultaneously the time and frequency domains is employed to study the...
© 2020 John Wiley & Sons, Ltd. We apply wavelet analyses to study the impact of COVID-19 pandemic ...
We investigate how Covid-19 affects the emerging market (EM) bonds by analysing, on a standalone bas...
This study investigates herd effects in 101 cryptocurrencies during the period from January 2015 to ...
This study investigates herds effect in more than 100 cryptocurrencies during the period from Januar...
We use wavelet coherence analysis on global COVID-19 fear index and, soft commodities’ spot and futu...
We apply wavelet analyses to study how the Covid-19 fueled panic influenced the volatility of ESG (e...
This study contributes to the debate on safe-haven characteristics of environmental, social, and gov...
We study the relationship between return and volatility of non-fungible tokens (NFT) segments and me...
We use wavelet coherence analysis on global COVID-19 fear index, cryptocurrency market specific impl...
This study adds to the inconclusive debate on safe-haven properties of cryptocurrencies during Covid...
Using wavelet coherence framework on five major cryptocurrencies and three major stock market indice...
We apply wavelet analyses to study how the Covid pandemic influenced the volatility of commodity pri...
This study examines how the COVID-19 pandemic has affected the connectedness between non-fungible to...
© 2020 Elsevier B.V. We apply wavelet analyses to examine the impact of the Covid-19 fueled panic on...
The wavelet approach covering simultaneously the time and frequency domains is employed to study the...
© 2020 John Wiley & Sons, Ltd. We apply wavelet analyses to study the impact of COVID-19 pandemic ...
We investigate how Covid-19 affects the emerging market (EM) bonds by analysing, on a standalone bas...
This study investigates herd effects in 101 cryptocurrencies during the period from January 2015 to ...
This study investigates herds effect in more than 100 cryptocurrencies during the period from Januar...
We use wavelet coherence analysis on global COVID-19 fear index and, soft commodities’ spot and futu...
We apply wavelet analyses to study how the Covid-19 fueled panic influenced the volatility of ESG (e...
This study contributes to the debate on safe-haven characteristics of environmental, social, and gov...