Static and dynamic connectedness between NFTs, Defi and other assets: Portfolio implication

Aharon, 2021, NFTs and asset class spillovers: Lessons from the period around the COVID-19 pandemic, Financial Research Letters Akyildirim, 2020, The impact of blockchain related name changes on corporate performance, Journal of Corporate Finance, 65, 10.1016/j.jcorpfin.2020.101759 Angerer, 2021, Objective and subjective risks of investing into cryptocurrencies, Finance Research Letters, 40, 10.1016/j.frl.2020.101737 Antonakakis, 2018, Oil volatility, oil and gas firms and portfolio diversification, Energy Economics, 70, 499, 10.1016/j.eneco.2018.01.023 Antonakakis, 2017 Arouri, 2015, World gold prices and stock returns in China: Insights for hedging and diversification strategies, Economic Modelling, 44, 273, 10.1016/j.econmod.2014.10.030 Bouri, 2020, Bitcoin, gold, and commodities as safe havens for stocks: New insight through wavelet analysis, The Quarterly Review of Economics and Finance, 77, 156, 10.1016/j.qref.2020.03.004 Conlon, 2020, Are cryptocurrencies a safe haven for equity markets? An international perspective from the COVID-19 pandemic, Research in International Business and Finance, 54, 10.1016/j.ribaf.2020.101248 Corbet, 2020, Any port in a storm: Cryptocurrency safe-havens during the COVID-19 pandemic, Economics Letters, 194, 10.1016/j.econlet.2020.109377 Corbet, 2018, Exploring the dynamic relationships between cryptocurrencies and other financial assets, Economics Letters, 165, 28, 10.1016/j.econlet.2018.01.004 Corbet, 2019, Cryptocurrencies as a financial asset: A systematic analysis, International Review of Financial Analysis, 62, 182, 10.1016/j.irfa.2018.09.003 Das, 2019, The effect of global crises on stock market correlations: Evidence from scalar regressions via functional data analysis, Structural Change and Economic Dynamics, 50, 132, 10.1016/j.strueco.2019.05.007 Diebold, 2009, Measuring financial asset return and volatility spillovers, with application to global equity markets, The Economic Journal, 119, 158, 10.1111/j.1468-0297.2008.02208.x Diebold, 2012, Better to give than to receive: Predictive directional measurement of volatility spillovers, International Journal of Forecasting, 28, 57, 10.1016/j.ijforecast.2011.02.006 Dowling, 2021, Fertile LAND: Pricing non-fungible tokens, Finance Research Letters, 102096 Dowling, 2021, Is non-fungible token pricing driven by cryptocurrencies?, Finance Research Letters, 102097 Engle, 1995, Multivariate simultaneous generalized ARCH, Econometric Theory, 11, 122, 10.1017/S0266466600009063 Fabozzi, 2002, The legacy of modern portfolio theory, The Journal of Investing, 11, 7, 10.3905/joi.2002.319510 Feng, 2018, Can cryptocurrencies be a safe haven: A tail risk perspective analysis, Applied Economics, 50, 4745, 10.1080/00036846.2018.1466993 Gabauer, 2018, On the transmission mechanism of country-specific and international economic uncertainty spillovers: Evidence from a TVP-VAR connectedness decomposition approach, Economics Letters, 171, 63, 10.1016/j.econlet.2018.07.007 Goodell, 2021, Diversifying equity with cryptocurrencies during COVID-19, International Review of Financial Analysis, 76, 10.1016/j.irfa.2021.101781 Jalal, 2021, A bibliometric review of cryptocurrencies as a financial asset, Technology Analysis & Strategic Management, 1, 10.1080/09537325.2021.1939001 Karim, 2022, Examining the interrelatedness of NFTs, DeFi tokens and cryptocurrencies, Finance Research Letters, 10.1016/j.frl.2022.102696 Koop, 1996, Impulse response analysis in nonlinear multivariate models, Journal of Econometrics, 74, 119, 10.1016/0304-4076(95)01753-4 Korobilis, 2018, Measuring dynamic connectedness with large Bayesian VAR models Kroner, 1998, Modeling asymmetric comovements of asset returns, The Review of Financial Studies, 11, 817, 10.1093/rfs/11.4.817 Kroner, 1993, Time-varying distributions and dynamic hedging with foreign currency futures, Journal of Financial and Quantitative Analysis, 28, 535, 10.2307/2331164 Ku, 2007, On the application of the dynamic conditional correlation model in estimating optimal time-varying hedge ratios, Applied Economics Letters, 14, 503, 10.1080/13504850500447331 Lucey, 2021, The cryptocurrency uncertainty index, Finance Research Letters Maouchi, 2021, Understanding digital bubbles amidst the COVID-19 pandemic: Evidence from DeFi and NFTs, Finance Research Letters, 102584 Mariana, 2021, Are bitcoin and Ethereum safe-havens for stocks during the COVID-19 pandemic?, Finance Research Letters, 38 Melki, 2021, Tracking safe haven properties of cryptocurrencies during the COVID-19 pandemic: A smooth transition approach, Finance Research Letters, 102243 Pesaran, 1998, Generalized impulse response analysis in linear multivariate models, Economics Letters, 58, 17, 10.1016/S0165-1765(97)00214-0 Selmi, 2018, Is bitcoin a hedge, a safe haven or a diversifier for oil price movements? A comparison with gold, Energy Economics, 74, 787, 10.1016/j.eneco.2018.07.007 Shahzad, 2019, Is bitcoin a better safe-haven investment than gold and commodities?, International Review of Financial Analysis, 63, 322, 10.1016/j.irfa.2019.01.002 Shilov, 2021, Evolution of bitcoin as a financial asset, Finance: Theory and Practice, 25, 150 Shu, 2021, The 2021 bitcoin bubbles and crashes—Detection and classification, Stats, 4, 950, 10.3390/stats4040056 Wang, 2019, Is cryptocurrency a hedge or a safe haven for international indices? A comprehensive and dynamic perspective, Finance Research Letters, 31, 1, 10.1016/j.frl.2019.04.031 Yousaf, 2020, Discovering interlinkages between major cryptocurrencies using high-frequency data: New evidence from COVID-19 pandemic, Financial Innovation, 6, 1, 10.1186/s40854-020-00213-1 Zhang, 2017, Forecasting the daily time-varying Beta of European banks during the crisis period: Comparison between GARCH models and the Kalman filter, Journal of Forecasting, 36, 956, 10.1002/for.2442