This study explores the impact of trading activity on both centralized exchanges (CEXs) and decentralized exchanges (DEXs) on information transmission patterns between digital and traditional investment assets. Utilizing a quantile connectedness approach, we analyze the relationships among DEX tokens, CEX tokens, and various assets, including Gold, Oil, Bitcoin, REITs, Equity, Bonds, and the US dollar index. Our results reveal that in the lowest quantile, DEXand CEX tokens primarily receive spillovers, while other assets act as the main transmitters. In contrast, in the upper quantile, DEX and CEX tokens become the primary transmitters of spillovers to other assets. These findings hold significant implications for financial portfolio manage...
We study whether ESG investing may mitigate the risk of contagion among equity mutual funds. More pr...
This study examines potential tail spillovers between insurance tokens and conventional stocks using...
Using a quantile vector autoregressive model to capture return dynamics in extreme market conditions...
This study explores the impact of trading activity on both centralized exchanges (CEXs) and decentra...
In the present paper, we investigate connectedness within cryptocurrency markets as well as across t...
This paper explores a fresh topic about the tail connectedness between decentralized- lending/borrow...
The paper examines the return and volatility transmission between NFTs, Defi assets, and other asset...
International audienceThis article studies contagion effects between traditional financial markets, ...
In recent years, the quick development of blockchain technology and cryptocurrencies had an impact o...
The high volatility of the blockchain markets has driven the attention of investors and market parti...
The cryptocurrencies with small market capitalization are often overlooked despite they can potentia...
The cryptocurrencies with small market capitalization are often overlooked despite they can potentia...
This study investigates the tail risk spillovers between the crude oil market and the stock markets ...
The main focus of this research is to investigate the potential spillover effects between AI-based s...
The recent influence of the meme stock and meme token phenomena have raised new challenges for inves...
We study whether ESG investing may mitigate the risk of contagion among equity mutual funds. More pr...
This study examines potential tail spillovers between insurance tokens and conventional stocks using...
Using a quantile vector autoregressive model to capture return dynamics in extreme market conditions...
This study explores the impact of trading activity on both centralized exchanges (CEXs) and decentra...
In the present paper, we investigate connectedness within cryptocurrency markets as well as across t...
This paper explores a fresh topic about the tail connectedness between decentralized- lending/borrow...
The paper examines the return and volatility transmission between NFTs, Defi assets, and other asset...
International audienceThis article studies contagion effects between traditional financial markets, ...
In recent years, the quick development of blockchain technology and cryptocurrencies had an impact o...
The high volatility of the blockchain markets has driven the attention of investors and market parti...
The cryptocurrencies with small market capitalization are often overlooked despite they can potentia...
The cryptocurrencies with small market capitalization are often overlooked despite they can potentia...
This study investigates the tail risk spillovers between the crude oil market and the stock markets ...
The main focus of this research is to investigate the potential spillover effects between AI-based s...
The recent influence of the meme stock and meme token phenomena have raised new challenges for inves...
We study whether ESG investing may mitigate the risk of contagion among equity mutual funds. More pr...
This study examines potential tail spillovers between insurance tokens and conventional stocks using...
Using a quantile vector autoregressive model to capture return dynamics in extreme market conditions...