Connectedness and portfolio hedging between NFTs segments, American stocks and cryptocurrencies Nexus

被引:8
|
作者
BenMabrouk, Houda [1 ,2 ]
Sassi, Syrine [3 ]
Soltane, Feriel [1 ]
Abid, Ilyes [4 ]
机构
[1] Univ Sousse, IHEC Sousse, Sousse, Tunisia
[2] Univ Sfax, GFC Lab, Sfax, Tunisia
[3] Paris Sch Business, Paris, France
[4] ISC Paris, Paris, France
关键词
Non-fungible tokens (NFTs); Cryptocurrencies; Spillover; Hedging effectiveness; Long short-term memory (LSTM); BITCOIN;
D O I
10.1016/j.irfa.2023.102959
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
The paper examines the dynamic spillover and hedging effectiveness between five main segments of NFTs, which are Collectibles, Art, Game, Metaverse, and Utility, and the other asset classes namely Bitcoin and the American Stocks (S&P500). The study sample covers the period from April 27, 2018 to September 15, 2022. Using a Time Varying connectedness approach through the TVP-VAR model and inspired by the Diebold and Yilmaz spillover index, the results show weak dynamic return spillovers between NFTs and the other assets, indicating that these new digital assets are still relatively decoupled from traditional asset and Bitcoin. We find also that Bitcoin is a major transmitter of spillover whereas Collectibles, Utility and S&P500 are net recipients of spillovers. Using the DCC-GARCH model, we extract the optimal weights, hedge ratios, and hedging effectiveness for the pairwise portfolios composed of S&P500/NFTs and Bitcoin/NFTs. The results indicate that investors and portfolio managers should consider adding NFTs in their portfolios of either S&P500 or Bitcoin to achieve diversification benefits. Finally, for Robustness Checks, we forecast the performance of the hedged versus the unhedged portfolios using the Long Short-Term Memory (LSTM) networks. Our findings confirm almost the results of the hedging effectiveness of NFTs and stem for the superiority of metaverse among these assets to serve as a perfect hedge.
引用
收藏
页数:9
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