Using US Stock Sectors to Diversify, Hedge, and Provide Safe Havens for NFT Coins

This paper explores risk management strategies for investments in Nonfungible Token (NFT) coins through their diversification within the S&P 500 industry sectors. Given the significant decline in NFT coin values in 2022, understanding these strategies is critical for investors. This study focused on four major NFT coins (Enjin coin (ENJ), MANA, Theta coin (THETA), and the Tezos coin (XTZ)) and employed ETFs representing the major S&P 500 sectors for analysis. Dynamic conditional correlation GARCH models have been used, to estimate correlations between the NFT coins and US industry sector ETFs. Our findings showed that while most S&P 500 sectors offered diversification benefits in the pre-COVID period, all of them did during the COVID period. However, these sectors are generally weak safe havens and poor hedges. Portfolio analysis suggests an optimal NFT coin weighting of 10–30%, based on the Sharpe ratio. This study aims to pave the way for informed decision-making in the dynamic NFT market.

[1]  S. Choi,et al.  Diversification benefits of NFTs for conventional asset investors: Evidence from CoVaR with higher moments and optimal hedge ratios , 2023, Research in International Business and Finance.

[2]  Hyungjin Ko,et al.  Non-fungible tokens: a hedge or a safe haven? , 2023, Applied Economics Letters.

[3]  Huiming Zhu,et al.  Time-frequency Extreme Risk Spillover Network of Cryptocurrency Coins, DeFi Tokens and NFTs , 2022, Finance Research Letters.

[4]  O. Polat,et al.  Dynamic connectedness between non-fungible tokens, decentralized finance, and conventional financial assets in a time-frequency framework , 2022, Pacific-Basin Finance Journal.

[5]  Zhiyuan Zhang,et al.  The hedge and safe haven properties of non-fungible tokens (NFTs): Evidence from the nonlinear autoregressive distributed lag (NARDL) model , 2022, Finance Research Letters.

[6]  Yizhi Wang,et al.  Volatility spillovers across NFTs news attention and financial markets , 2022, International Review of Financial Analysis.

[7]  I. Yousaf,et al.  The relationship between trading volume, volatility and returns of Non-Fungible Tokens: evidence from a quantile approach , 2022, Finance Research Letters.

[8]  Khaled Guesmi,et al.  Dynamic dependence and predictability between volume and return of Non-Fungible Tokens (NFTs): The roles of market factors and geopolitical risks , 2022, Finance Research Letters.

[9]  Hyungjin Ko,et al.  The economic value of NFT: Evidence from a portfolio analysis using mean-variance framework , 2022, Finance Research Letters.

[10]  I. Yousaf,et al.  Static and Dynamic Connectedness Between NFTs, Defi and Other Assets: Portfolio Implication , 2022, SSRN Electronic Journal.

[11]  D. Vidal-Tomás.  The new crypto niche: NFTs, play-to-earn, and metaverse tokens , 2022, Finance Research Letters.

[12]  M. Gubareva,et al.  Covid-19 impact on NFTs and major asset classes interrelations: insights from the wavelet coherence analysis , 2022, Finance Research Letters.

[13]  Lanouar Charfeddine,et al.  Understanding digital bubbles amidst the COVID-19 pandemic: Evidence from DeFi and NFTs , 2021, Finance research letters.

[14]  Ender Demir,et al.  NFTs and asset class spillovers: Lessons from the period around the COVID-19 pandemic , 2021, Finance research letters.

[15]  R. Nekhili,et al.  Hedging Bitcoin with conventional assets , 2021, Borsa Istanbul Review.

[16]  S. Corbet,et al.  Cryptocurrency liquidity and volatility interrelationships during the COVID-19 pandemic , 2021, Finance Research Letters.

[17]  M. Dowling.  Is Non-fungible Token Pricing Driven by Cryptocurrencies? , 2021, Finance Research Letters.

[18]  M. Niranjan,et al.  Construction of Minimum Spanning Trees from Financial Returns using Rank Correlation , 2020, Physica A: Statistical Mechanics and its Applications.

[19]  S. Mitra,et al.  Hedging bitcoin with other financial assets , 2019, Finance Research Letters.

[20]  David Iheke Okorie.  Could stock hedge Bitcoin risk(s) and vice versa? , 2019, Digital Finance.

[21]  S. Corbet,et al.  Exploring the Dynamic Relationships between Cryptocurrencies and Other Financial Assets , 2017 .

[22]  Lars Ivar Hagfors,et al.  On the Hedge and Safe Haven Properties of Bitcoin: Is it Really More than a Diversifier? , 2016 .

[23]  R. Engle.  Dynamic Conditional Correlation , 2002 .

[24]  L. Glosten,et al.  On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks , 1993 .

[25]  B. Lucey,et al.  Examining the Interrelatedness of NFT’s, DeFi Tokens and Cryptocurrencies , 2021, SSRN Electronic Journal.

[26]  E. Robert.  Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models , 2022 .