Abakah E.J.A., Abdullah M., Tiwari A.,K., Ullah GM. W. (2024) Asymmetric dynamics between geopolitical conflict sentiment and cryptomarkets. Research in International Business and Finance, 69, 102273 Aharon, D. Y., Demir, E., Lau, C. K. M., & Zaremba, A. (2022). Twitter-Based uncertainty and cryptocurrency returns. Research in International Business and Finance, 59, 101546.
Aharon, D. Y., & Demir, E. (2022). NFTs and asset class spillovers: Lessons from the period around the COVID-19 pandemic. Finance Research Letters, 47, 102515.
Ahmed, W. M. (2020). Is there a risk-return trade-off in cryptocurrency markets? The case of Bitcoin. Journal of Economics and Business, 108, 105886.
Ahn, Y., & Kim, D. (2021). Emotional trading in the cryptocurrency market. Finance Research Letters, 42, 101912.
Almeida, J., & Gonçalves, T. C. (2023). A systematic literature review of investor behavior in the cryptocurrency markets. Journal of Behavioral and Experimental Finance, 100785.
Anamika, Chakraborty, M., & Subramaniam, S. (2023). Does sentiment impact cryptocurrency?. Journal of Behavioral Finance, 24(2), 202-218.
Ante, L. (2022). The non-fungible token (NFT) market and its relationship with Bitcoin and Ethereum. FinTech, 1(3), 216-224.
Antonakakis, N., Chatziantoniou, I., & Gabauer, D. (2019). Cryptocurrency market contagion: market uncertainty, market complexity, and dynamic portfolios. Journal of International Financial Markets, Institutions and Money, 61, 37-51.
Barigozzi, M., Cho, H., & Owens, D. (2024). FNETS: factor-adjusted network estimation and forecasting for high-dimensional time series. Journal of Business & Economic Statistics, 42(3), 890902.
- Battiston, F., Nicosia, V., & Latora, V. (2014). Structural measures for multiplex networks. Physical Review E, 89(3), 032804.
Paper not yet in RePEc: Add citation now
Baur, D. G., & Dimpfl, T. (2018). Asymmetric volatility in cryptocurrencies. Economics Letters, 173, 148-151.
- Black, F. (1976). Studies of stock price volatility changes. In Proceedings of the 1976 Meeting of the Business and Economic Statistics Section; American Statistical Association: Washington, DC, USA, 177-181.
Paper not yet in RePEc: Add citation now
Bollerslev, T. (1986). Generalised autoregressive conditional heteroscedasticity. Journal of Econometrics, 31(3), 307-27.
- Borri, N., Liu, Y., & Tsyvinski, A. (2022). The economics of non-fungible tokens. Available at SSRN.
Paper not yet in RePEc: Add citation now
Bouri, E., Azzi, G., & Dyhrberg, A.H. (2017). On the Return-volatility Relationship in the Bitcoin Market around the Price Crash of 2013. Economics: The Open-Access, Open-Assessment E-Journal, 11 (2017-2), 1-16 Bouri, E., Molnár, P., Azzi, G., Roubaud, D., & Hagfors, L. I. (2017). On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier? Finance Research Letters, 20, 192-198.
Bouri, E., Shahzad, S. J. H., & Roubaud, D. (2019). Co-explosivity in the cryptocurrency market. Finance Research Letters, 29, 178-183.
Bouteska, A., Harasheh, M., & Abedin, M. Z. (2023). Revisiting overconfidence in investment decision-making: Further evidence from the US market. Research in International Business and Finance, 66, 102028.
Chan, L., & Lien, D. (2003). Using high, low, open, and closing prices to estimate the effects of cash settlement on futures prices. International Review of Financial Analysis 12(1), 35-47.
Chowdhury, M. A. F., Abdullah, M., Alam, M., Abedin, M. Z., & Shi, B. (2023). NFTs, DeFi, and other assets efficiency and volatility dynamics: An asymmetric multifractality analysis. International Review of Financial Analysis, 87, 102642.
- Christie, A.A. (1982). The stochastic behavior of common stock variances. Journal of Financial Economics, 10(4), 407-432.
Paper not yet in RePEc: Add citation now
Corbet, S., Goodell, J. W., & Günay, S. (2022). What drives DeFi prices? Investigating the effects of investor attention. Finance Research Letters, 48, 102883.
Corbet, S., Goodell, J. W., Gunay, S., & Kaskaloglu, K. (2023). Are DeFi tokens a separate asset class from conventional cryptocurrencies?. Annals of Operations Research, 1-22.
Diebold, F. X., & Yilmaz, K. (2012). Better to give than to receive: Predictive directional measurement of volatility spillovers. International Journal of forecasting, 28(1), 57-66.
Diebold, F. X., & Yılmaz, K. (2014). On the network topology of variance decompositions: Measuring the connectedness of financial firms. Journal of econometrics, 182(1), 119-134.
Dowling, M. (2022). Fertile LAND: Pricing non-fungible tokens. Finance Research Letters, 44, 102096.
- Floros, C. (2009). Modelling volatility using high, low, open and closing prices: evidence from four S&P indices. International Research Journal of Finance and Economics, 28, 198-206.
Paper not yet in RePEc: Add citation now
- Ghosh, B., Bouri, E., Wee, J.B., & Zulfiqar, N. (2023). Return and volatility properties: Stylized facts from the universe of cryptocurrencies and NFTs. Research in International Business and Finance, 65, Greenwood-Nimmo, M., Nguyen, V. H., & Shin, Y. (2021). Measuring the connectedness of the global economy. International Journal of Forecasting, 37(2), 899-919.
Paper not yet in RePEc: Add citation now
Gurdgiev, C., & O’Loughlin, D. (2020). Herding and anchoring in cryptocurrency markets: Investor reaction to fear and uncertainty. Journal of Behavioral and Experimental Finance, 25, 100271.
Ji, Q., Bouri, E., Lau, C. K. M., & Roubaud, D. (2019). Dynamic connectedness and integration in cryptocurrency markets. International Review of Financial Analysis, 63, 257-272.
- Kakinaka, S., & Umeno, K. (2022). Asymmetric volatility dynamics in cryptocurrency markets on multi-time scales. Research in International Business and Finance, 62, 101754.
Paper not yet in RePEc: Add citation now
Karim, S., Lucey, B. M., Naeem, M. A., & Uddin, G. S. (2022). Examining the interrelatedness of NFTs, DeFi tokens and cryptocurrencies. Finance Research Letters, December 2021, 102696.
Koop, G., Pesaran, M. H., & Potter, S. M. (1996). Impulse response analysis in nonlinear multivariate models. Journal of econometrics, 74(1), 119-147.
Kumar, A., Iqbal, N., Mitra, S. K., Kristoufek, L., & Bouri, E. (2022). Connectedness among major cryptocurrencies in standard times and during the COVID-19 outbreak. Journal of International Financial Markets, Institutions and Money, 77, 101523.
Kumar, S., Patel, R., Iqbal, N., & Gubareva, M. (2023). Interconnectivity among cryptocurrencies, NFTs, and DeFi: evidence from the Russia-Ukraine conflict. The North American Journal of Economics and Finance, 68, 101983.
Mensi, W., Gubareva, M., & Kang, S. H. (2024). Frequency connectedness between DeFi and cryptocurrency markets. The Quarterly Review of Economics and Finance, 93, 12-27.
Mokni, K., Bouteska, A., & Nakhli, M. S. (2022). Investor sentiment and Bitcoin relationship: A quantile-based analysis. The North American Journal of Economics and Finance, 60, 101657.
Nadini, M., Alessandretti, L., Di Giacinto, F., Martino, M., Aiello, L. M., & Baronchelli, A. (2021). Mapping the NFT revolution: market trends, trade networks, and visual features. Scientific reports, 11(1), 1-11.
Nicholas Taleb, N. (2021). Bitcoin, currencies, and fragility. Quantitative Finance, 21(8), 1249-1255.
Okorie, D.I., Bouri, E., & Mazur, M. (2024). NFTs versus conventional cryptocurrencies: A comparative analysis of market efficiency around COVID-19 and the Russia-Ukraine conflict. Quarterly Review of Economics and Finance, 95, 126-151.
Omane-Adjepong, M., & Alagidede, I. P. (2019). Multiresolution analysis and spillovers of major cryptocurrency markets. Research in International Business and Finance, 49, 191-206.
Parkinson, M. (1980). The extreme value method for estimating the variance of the rate of return. Journal of Business 53(1), 61-65.
Pesaran, H. H., & Shin, Y. (1998). Generalized impulse response analysis in linear multivariate models. Economics letters, 58(1), 17-29.
Philippas, D., Rjiba, H., Guesmi, K., & Goutte, S. (2019). Media attention and Bitcoin prices. Finance Research Letters, 30, 37-43.
Qiao, X., Zhu, H., Tang, Y., & Peng, C. (2023). Time-frequency extreme risk spillover network of cryptocurrency coins, DeFi tokens and NFTs. Finance Research Letters, 51,103489.
Umar, Z., Gubareva, M., Teplova, T., & Tran, D. K. (2022b). COVID-19 impact on NFTs and major asset classes interrelations: Insights from the wavelet coherence analysis. Finance Research Letters, 102725.
Umar, Z., Polat, O., Choi, S. Y., & Teplova, T. (2022a) Dynamic connectedness between nonfungible tokens, decentralized finance, and conventional financial assets in a time-frequency framework. Pacific-Basin Finance Journal, 76, 101876.
Wang, G. J., Wan, L., Feng, Y., Xie, C., Uddin, G. S., & Zhu, Y. (2023). Interconnected multilayer networks: Quantifying connectedness among global stock and foreign exchange markets. International Review of Financial Analysis, 86, 102518.
- Wang, Q., Li, R., Wang, Q., & Chen, S. (2021). Non-fungible token (NFT): Overview, evaluation, opportunities and challenges. arXiv preprint arXiv:2105.07447.
Paper not yet in RePEc: Add citation now
Wang, Y. (2022). Volatility spillovers across NFTs news attention and financial markets. International Review of Financial Analysis, 83, 102313.
Wang, Y., Horky, F., Baals, L. J., Lucey, B. M., & Vigne, S. A. (2022). Bubbles all the way down? Detecting and date-stamping bubble behaviours in NFT and DeFi markets. Journal of Chinese Economic and Business Studies, 20(4), 415-436.
Xiang, Y., & Borjigin, S. (2024). Multilayer networks for measuring interconnectedness among global stock markets through the lens of trading volume-price relationship. Global Finance Journal, 101006.
Xu, Q., Zhang, Y., & Zhang, Z. (2021). Tail-risk spillovers in cryptocurrency markets. Finance Research Letters, 38, 101453.
Yi, S., Xu, Z., & Wang, G. J. (2018). Volatility connectedness in the cryptocurrency market: Is Bitcoin a dominant cryptocurrency?. International Review of Financial Analysis, 60, 98-114.
Yousaf, I., & Yarovaya, L. (2022). Static and dynamic connectedness between NFTs, Defi and other assets: Portfolio implication. Global Finance Journal, 53, 100719.
Yousaf, I., Gubareva, M., & Teplova, T. (2023). Connectedness of non-fungible tokens and conventional cryptocurrencies with metals. The North American Journal of Economics and Finance, 68, 101995.
Zhang, L., Bouri, E., & Chen, Y. (2023). Co-jump Dynamicity in the Cryptocurrency Market: A Network Modelling Perspective. Finance Research Letters, 58, 104372.
Zięba, D., Kokoszczyński, R., & Śledziewska, K. (2019). Shock transmission in the cryptocurrency market. Is Bitcoin the most influential?. International Review of Financial Analysis, 64, 102-125. APPENDIX: