Connectedness of non-fungible tokens and conventional cryptocurrencies with metals
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DOI: 10.1016/j.najef.2023.101995
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- Mensi, Walid & Sensoy, Ahmet & Aslan, Aylin & Kang, Sang Hoon, 2019. "High-frequency asymmetric volatility connectedness between Bitcoin and major precious metals markets," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
- Diebold, Francis X. & Yılmaz, Kamil, 2014.
"On the network topology of variance decompositions: Measuring the connectedness of financial firms,"
Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
- Francis X. Diebold & Kamil Yilmaz, 2011. "On the Network Topology of Variance Decompositions: Measuring the Connectedness of Financial Firms," NBER Working Papers 17490, National Bureau of Economic Research, Inc.
- Francis X. Diebold & Kamil Yilmaz, 2011. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Working Papers 11-45, Federal Reserve Bank of Philadelphia.
- Francis X. Diebold & Kamil Yılmaz, 2011. "On the Network Topology of Variance Decompositions: Measuring the Connectedness of Financial Firms," PIER Working Paper Archive 11-031, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Francis X. Diebold & Kamil Yilmaz, 2011. "On the Network Topology of Variance Decompositions: Measuring the Connectedness of Financial Firms," Koç University-TUSIAD Economic Research Forum Working Papers 1124, Koc University-TUSIAD Economic Research Forum.
- Kumar, Anoop S. & Anandarao, S., 2019. "Volatility spillover in crypto-currency markets: Some evidences from GARCH and wavelet analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 448-458.
- Qureshi, Saba & Aftab, Muhammad & Bouri, Elie & Saeed, Tareq, 2020. "Dynamic interdependence of cryptocurrency markets: An analysis across time and frequency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 559(C).
- Katsiampa, Paraskevi & Corbet, Shaen & Lucey, Brian, 2019. "High frequency volatility co-movements in cryptocurrency markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 62(C), pages 35-52.
- Kroner, Kenneth F & Ng, Victor K, 1998. "Modeling Asymmetric Comovements of Asset Returns," The Review of Financial Studies, Society for Financial Studies, vol. 11(4), pages 817-844.
- Wang, Jying-Nan & Lee, Yen-Hsien & Liu, Hung-Chun & Hsu, Yuan-Teng, 2023. "Dissecting returns of non-fungible tokens (NFTs): Evidence from CryptoPunks," The North American Journal of Economics and Finance, Elsevier, vol. 65(C).
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Cited by:
- Elie Bouri & Matteo Foglia & Sayar Karmakar & Rangan Gupta, 2024. "Return-Volatility Nexus in the Digital Asset Class: A Dynamic Multilayer Connectedness Analysis," Working Papers 202432, University of Pretoria, Department of Economics.
- Patel, Ritesh & Gubareva, Mariya & Chishti, Muhammad Zubair, 2024. "Assessing the connectedness between cryptocurrency environment attention index and green cryptos, energy cryptos, and green financial assets," Research in International Business and Finance, Elsevier, vol. 70(PA).
- Okorie, David Iheke & Bouri, Elie & Mazur, Mieszko, 2024. "NFTs versus conventional cryptocurrencies: A comparative analysis of market efficiency around COVID-19 and the Russia-Ukraine conflict," The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 126-151.
- Al-Omoush, Khaled Saleh & Gomez-Olmedo, Ana M. & Funes, Andrés Gómez, 2024. "Why do people choose to continue using cryptocurrencies?," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
- Abrar, Afsheen & Naeem, Muhammad Abubakr & Karim, Sitara & Lucey, Brian M. & Vigne, Samuel A., 2024. "Shining in or fading out: Do precious metals sparkle for cryptocurrencies?," Resources Policy, Elsevier, vol. 90(C).
- Nagl, Maximilian, 2024. "Intricacy of cryptocurrency returns," Economics Letters, Elsevier, vol. 239(C).
- John Kingsley Woode & Anokye M. Adam & Peterson Owusu Junior & Anthony Adu-Asare Idun, 2024. "Industrial metal and cryptocurrency market plummets: Interdependence, policy uncertainty, or investor sentiments?," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 51(4), pages 1001-1040, December.
- Ali, Shoaib & Umar, Muhammad & Gubareva, Mariya & Vo, Xuan Vinh, 2024. "Extreme connectedness between NFTs and US equity market: A sectoral analysis," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 299-315.
- Sila, Jan & Kocenda, Evzen & Kristoufek, Ladislav & Kukacka, Jiri, 2024.
"Good vs. bad volatility in major cryptocurrencies: The dichotomy and drivers of connectedness,"
Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 96(C).
- Jan Sila & Evzen Kocenda & Ladislav Kristoufek & Jiri Kukacka, 2023. "Good vs. Bad Volatility in Major Cryptocurrencies: The Dichotomy and Drivers of Connectedness," Working Papers IES 2023/24, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jul 2023.
- Mensi, Walid & Gubareva, Mariya & Kang, Sang Hoon, 2024. "Frequency connectedness between DeFi and cryptocurrency markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 93(C), pages 12-27.
- Yousaf, Imran & Pham, Linh & Goodell, John W., 2024. "Dynamic spillovers between leading cryptocurrencies and derivatives tokens: Insights from a quantile VAR approach," International Review of Financial Analysis, Elsevier, vol. 94(C).
- Ghosh, Bikramaditya & Pham, Linh & Gubareva, Mariya & Teplova, Tamara, 2023. "Energy transition metals and global sentiment: Evidence from extreme quantiles," Resources Policy, Elsevier, vol. 86(PA).
- Abakah, Emmanuel Joel Aikins & Hossain, Sahib & Abdullah, Mohammad & Goodell, John W., 2024. "Global uncertainty factors and price connectedness between US electricity and blockchain markets: Findings from an R-square connectedness approach," Finance Research Letters, Elsevier, vol. 59(C).
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More about this item
Keywords
Non-fungible tokens (NFTs); Cryptocurrencies; Static and dynamic connectedness; Return and volatility spillovers; Precious and non-precious metals; COVID-19; Optimal weights and hedge ratios;All these keywords.
JEL classification:
- F3 - International Economics - - International Finance
- G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
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