Volatility spillovers across NFTs news attention and financial markets

Wang, Yizhi 2022. Volatility spillovers across NFTs news attention and financial markets. International review of financial analysis 83 , 102313. 10.1016/j.irfa.2022.102313

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Abstract

The aim of this study is to investigate the volatility spillover connectedness between NFTs attention and financial markets. This paper firstly proposes a new direct proxy for the public’s attention in the NFT market: the non-fungible tokens attention index (NFTsAI), based on 590m news stories from the LexisNexis News & Business database and applies the historical decomposition to assess the historical variations of the NFTsAI. Then the empirical analysis is performed via a TVP-VAR volatility spillover connectedness model. The empirical results show that NFTsAI indicates NFT markets are dominated by cryptocurrency, DeFi, equity, bond, commodity, F.X. and gold markets. And NFT markets are volatility spillover receivers. In addition, NFT assets could impede financial contagion and have significant diversification benefits. Employing a panel pooled OLS regression model as a supplementary analysis and a GARCH-MIDAS model as a robustness test. This study reveals that NFTsAI has sufficient power to explain the return of NFT assets from a fixed effect perspective, and NFTsAI contains useful forecasting information for both short and long-term volatility of NFT markets, separately. The new NFTsAI and the empirical findings contain useful insights for risk-averse investors, portfolio managers, institutional investors, academics and financial policy regulators.

Item Type:	Article
Status:	Published
Schools:	Business (Including Economics)
Publisher:	Elsevier
ISSN:	1057-5219
Date of First Compliant Deposit:	24 May 2023
Date of Acceptance:	15 July 2022
Last Modified:	25 May 2023 10:23
URI:	https://orca.cardiff.ac.uk/id/eprint/159762

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