Dynamic Analysis of Bitcoin Price Under Market News and Sentiments and Government Support Policies
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DOI: 10.1007/s10614-023-10477-1
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- Léo Malherbe & Matthieu Montalban & Nicolas Bédu & Caroline Granier, 2019.
"Cryptocurrencies and Blockchain: Opportunities and Limits of a New Monetary Regime,"
International Journal of Political Economy, Taylor & Francis Journals, vol. 48(2), pages 127-152, April.
- Leo Malherbe & Matthieu Montalban & Caroline Granier & Nicolas Bedu, 2018. "Cryptocurrencies and Blockchain: Opportunities and Limits of a New Monetary Regime," Post-Print hal-02273174, HAL.
- Nicolas Bedu & Caroline Granier & Matthieu Montalban & Leo Malherbe, 2019. "Cryptocurrencies and Blockchain: Opportunities and Limits of a New Monetary Regime," Post-Print hal-02107172, HAL.
- Leo Malherbe & Matthieu Montalban & Caroline Granier & Nicolas Bedu, 2018. "Cryptocurrencies and Blockchain: Opportunities and Limits of a New Monetary Regime," Post-Print hal-02273166, HAL.
- Masafumi Nakano & Akihiko Takahashi & Soichiro Takahashi, 2018. "Bitcoin technical trading with artificial neural network," CARF F-Series CARF-F-441, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Yechen Zhu & David Dickinson & Jianjun Li, 2017. "Erratum to: Analysis on the influence factors of Bitcoin’s price based on VEC model," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 3(1), pages 1-1, December.
- Selgin, George, 2015. "Synthetic commodity money," Journal of Financial Stability, Elsevier, vol. 17(C), pages 92-99.
- Joshua R. Hendrickson & Thomas L. Hogan & William J. Luther, 2016. "The Political Economy Of Bitcoin," Economic Inquiry, Western Economic Association International, vol. 54(2), pages 925-939, April.
- Lahmiri, Salim, 2018. "Minute-ahead stock price forecasting based on singular spectrum analysis and support vector regression," Applied Mathematics and Computation, Elsevier, vol. 320(C), pages 444-451.
- Karishma Chaudhary & Prem Vrat, 2020. "Circular economy model of gold recovery from cell phones using system dynamics approach: a case study of India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(1), pages 173-200, January.
- Parthajit Kayal & Purnima Rohilla, 2021. "Bitcoin in the economics and finance literature: a survey," SN Business & Economics, Springer, vol. 1(7), pages 1-21, July.
- Beate Sauer, 2016. "Virtual Currencies, the Money Market, and Monetary Policy," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 22(2), pages 117-130, May.
- Dean Fantazzini & Nikita Kolodin, 2020.
"Does the Hashrate Affect the Bitcoin Price?,"
JRFM, MDPI, vol. 13(11), pages 1-29, October.
- Fantazzini, Dean & Kolodin, Nikita, 2020. "Does the hashrate affect the bitcoin price?," MPRA Paper 103812, University Library of Munich, Germany.
- Aslanidis, Nektarios & Bariviera, Aurelio F. & Martínez-Ibañez, Oscar, 2019.
"An analysis of cryptocurrencies conditional cross correlations,"
Finance Research Letters, Elsevier, vol. 31(C), pages 130-137.
- Nektarios Aslanidis & Aurelio F. Bariviera & Oscar Martinez-Iba~nez, 2018. "An analysis of cryptocurrencies conditional cross correlations," Papers 1811.08365, arXiv.org, revised Feb 2019.
- Steinmetz, Fred & von Meduna, Marc & Ante, Lennart & Fiedler, Ingo, 2021. "Ownership, uses and perceptions of cryptocurrency: Results from a population survey," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
- Sui, Jianli & Liu, Biying & Li, Zhigang & Zhang, Chengping, 2022. "Monetary and macroprudential policies, output, prices, and financial stability," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 212-233.
- Serdar Ongan & Ismet Gocer, 2021. "Monetary policy uncertainties and demand for money for Japan: Nonlinear ARDL approach," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 26(1), pages 1-12, January.
- Dyhrberg, Anne Haubo, 2016. "Bitcoin, gold and the dollar – A GARCH volatility analysis," Finance Research Letters, Elsevier, vol. 16(C), pages 85-92.
- Yechen Zhu & David Dickinson & Jianjun Li, 2017. "Analysis on the influence factors of Bitcoin’s price based on VEC model," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 3(1), pages 1-13, December.
- C. Alexander & M. Dakos, 2020. "A critical investigation of cryptocurrency data and analysis," Quantitative Finance, Taylor & Francis Journals, vol. 20(2), pages 173-188, February.
- Wang, Lei & Zhu, Taihui, 2021. "Population aging and money demand," Economics Letters, Elsevier, vol. 206(C).
- Duc Huynh, Toan Luu & Burggraf, Tobias & Wang, Mei, 2020. "Gold, platinum, and expected Bitcoin returns," Journal of Multinational Financial Management, Elsevier, vol. 56(C).
- Masafumi Nakano & Akihiko Takahashi & Soichiro Takahashi, 2018. "Bitcoin technical trading with artificial neural network," CARF F-Series CARF-F-430, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Lahmiri, Salim & Bekiros, Stelios, 2019. "Cryptocurrency forecasting with deep learning chaotic neural networks," Chaos, Solitons & Fractals, Elsevier, vol. 118(C), pages 35-40.
- Al Mamun, Md & Uddin, Gazi Salah & Suleman, Muhammad Tahir & Kang, Sang Hoon, 2020. "Geopolitical risk, uncertainty and Bitcoin investment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
- Guesmi, Khaled & Saadi, Samir & Abid, Ilyes & Ftiti, Zied, 2019. "Portfolio diversification with virtual currency: Evidence from bitcoin," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 431-437.
- Young Bin Kim & Jurim Lee & Nuri Park & Jaegul Choo & Jong-Hyun Kim & Chang Hun Kim, 2017. "When Bitcoin encounters information in an online forum: Using text mining to analyse user opinions and predict value fluctuation," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-14, May.
- Frode Kjærland & Aras Khazal & Erlend A. Krogstad & Frans B. G. Nordstrøm & Are Oust, 2018. "An Analysis of Bitcoin’s Price Dynamics," JRFM, MDPI, vol. 11(4), pages 1-18, October.
- Nakano, Masafumi & Takahashi, Akihiko & Takahashi, Soichiro, 2018. "Bitcoin technical trading with artificial neural network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 587-609.
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Keywords
Bitcoin; Cryptocurrencies price; Currency transactions; Predict; System dynamics;All these keywords.
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