Does monetary policy fuel bitcoin demand? Event-study evidence from emerging markets
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DOI: 10.1016/j.intfin.2021.101489
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- Ma, Chaoqun & Tian, Yonggang & Hsiao, Shisong & Deng, Liurui, 2022. "Monetary policy shocks and Bitcoin prices," Research in International Business and Finance, Elsevier, vol. 62(C).
- Cheng, Jiyang & Tiwari, Sunil & Khaled, Djebbouri & Mahendru, Mandeep & Shahzad, Umer, 2024. "Forecasting Bitcoin prices using artificial intelligence: Combination of ML, SARIMA, and Facebook Prophet models," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
- Peciulis Tomas & Vasiliauskaite Asta, 2024. "Effect of Monetary Policy Decisions and Announcements on the Price of Cryptocurrencies: An Elastic-Net With Arima Residuals Approach," Economics and Culture, Sciendo, vol. 21(1), pages 77-92.
- Scharnowski, Stefan, 2022. "Central bank speeches and digital currency competition," Finance Research Letters, Elsevier, vol. 49(C).
- Dunbar, Kwamie & Treku, Daniel N., 2024. "Examining the impact of a central bank digital currency on the access to banking," International Review of Financial Analysis, Elsevier, vol. 93(C).
- Chibane, Messaoud & Kuhanathan, Ano, 2023. "Is the fed failing to re-anchor expectations? An analysis of jumps in inflation swaps," Finance Research Letters, Elsevier, vol. 55(PB).
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More about this item
Keywords
Bitcoin; Monetary policy; Emerging economies; Event study; Investor attention;All these keywords.
JEL classification:
- E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
- E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
Statistics
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