Investment in Virtual Digital Assets Vis-A-Vis Equity Stock and Commodity: A Post-Covid Volatility Analysis
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DOI: 10.34021/ve.2022.05.02(5)
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References listed on IDEAS
- Baillie, Richard T. & Bollerslev, Tim & Mikkelsen, Hans Ole, 1996.
"Fractionally integrated generalized autoregressive conditional heteroskedasticity,"
Journal of Econometrics, Elsevier, vol. 74(1), pages 3-30, September.
- Tom Doan, "undated". "RATS programs to replicate Baillie, Bollerslev, Mikkelson FIGARCH results," Statistical Software Components RTZ00009, Boston College Department of Economics.
- Marie Briere & Kim Oosterlinck & Ariane Szafarz, 2015.
"Virtual Currency, Tangible Return: Portfolio Diversification with Bitcoins,"
Post-Print CEB, ULB -- Universite Libre de Bruxelles, vol. 16(6), pages 365-373.
- Marie Briere & Kim Oosterlinck & Ariane Szafarz, 2013. "Virtual Currency, Tangible Return: Portfolio Diversification with Bitcoin," Working Papers CEB 13-031, ULB -- Universite Libre de Bruxelles.
- Marie Brière & Kim Oosterlinck & Ariane Szafarz, 2015. "Virtual Currency, Tangible Return: Portfolio Diversification with Bitcoin," Post-Print hal-02315410, HAL.
- Marie Briere & Kim Oosterlinck & Ariane Szafarz, 2015. "Virtual Currency, Tangible Return: Portfolio Diversification with Bitcoins," ULB Institutional Repository 2013/226296, ULB -- Universite Libre de Bruxelles.
- HaiYue Liu & Aqsa Manzoor & CangYu Wang & Lei Zhang & Zaira Manzoor, 2020. "The COVID-19 Outbreak and Affected Countries Stock Markets Response," IJERPH, MDPI, vol. 17(8), pages 1-19, April.
- Ji, Qiang & Zhang, Dayong & Zhao, Yuqian, 2020. "Searching for safe-haven assets during the COVID-19 pandemic," International Review of Financial Analysis, Elsevier, vol. 71(C).
- Tomaso Aste, 2019. "Cryptocurrency market structure: connecting emotions and economics," Papers 1903.00472, arXiv.org.
- Muhammad Ali Nasir & Toan Luu Duc Huynh & Sang Phu Nguyen & Duy Duong, 2019. "Forecasting cryptocurrency returns and volume using search engines," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-13, December.
- Corbet, Shaen & Lucey, Brian & Urquhart, Andrew & Yarovaya, Larisa, 2019. "Cryptocurrencies as a financial asset: A systematic analysis," International Review of Financial Analysis, Elsevier, vol. 62(C), pages 182-199.
- López-Cabarcos, M. Ángeles & Pérez-Pico, Ada M. & Piñeiro-Chousa, Juan & Šević, Aleksandar, 2021. "Bitcoin volatility, stock market and investor sentiment. Are they connected?," Finance Research Letters, Elsevier, vol. 38(C).
- Zhang, Dayong & Hu, Min & Ji, Qiang, 2020. "Financial markets under the global pandemic of COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
- Lynn Batten & Xun Yi, 2019. "Off-line digital cash schemes providing untraceability, anonymity and change," Electronic Commerce Research, Springer, vol. 19(1), pages 81-110, March.
- Tomaso Aste, 2019. "Cryptocurrency market structure: connecting emotions and economics," Digital Finance, Springer, vol. 1(1), pages 5-21, November.
- Thu, Le Ha & Leon-Gonzalez, Roberto, 2021. "Forecasting macroeconomic variables in emerging economies," Journal of Asian Economics, Elsevier, vol. 77(C).
- C. Baek & M. Elbeck, 2015. "Bitcoins as an investment or speculative vehicle? A first look," Applied Economics Letters, Taylor & Francis Journals, vol. 22(1), pages 30-34, January.
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- Proelss, Juliane & Sévigny, Stéphane & Schweizer, Denis, 2023. "GameFi: The perfect symbiosis of blockchain, tokens, DeFi, and NFTs?," International Review of Financial Analysis, Elsevier, vol. 90(C).
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Keywords
autoregressive conditional heteroscedastic model; cryptocurrencies; decentralized financial assets; non-fungible tokens; risk-return analysis;All these keywords.
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