News-based sentiment and bitcoin volatility

Citations

Cited by:

1. Ren, Tingting & Li, Shaofang, 2025. "Stock market forecasting based on machine learning: The role of investor sentiment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 666(C).
2. Ghosh, Indranil & Alfaro-Cortés, Esteban & Gámez, Matías & García-Rubio, Noelia, 2023. "Prediction and interpretation of daily NFT and DeFi prices dynamics: Inspection through ensemble machine learning & XAI," International Review of Financial Analysis, Elsevier, vol. 87(C).
3. He, Yu & Lu, Shanglin & Wei, Ran & Wang, Shixuan, 2024. "Local media sentiment towards pollution and its effect on corporate green innovation," International Review of Financial Analysis, Elsevier, vol. 94(C).
4. Apostolakis, George N., 2024. "Bitcoin price volatility transmission between spot and futures markets," International Review of Financial Analysis, Elsevier, vol. 94(C).
5. Wu, Hanlin & Li, Pan & Cao, Jiawei & Xu, Zijian, 2024. "Forecasting the Chinese crude oil futures volatility using jump intensity and Markov-regime switching model," Energy Economics, Elsevier, vol. 134(C).
6. Gaies, Brahim & Nakhli, Mohamed Sahbi & Sahut, Jean-Michel, 2024. "Unravelling the complex interactions between sentiment of uncertainty and foreign capital flows: Evidence from Brazil and South Korea," Economic Modelling, Elsevier, vol. 141(C).
7. Rudkin, Simon & Rudkin, Wanling & Dłotko, Paweł, 2023. "On the topology of cryptocurrency markets," International Review of Financial Analysis, Elsevier, vol. 89(C).
8. Simona-Vasilica Oprea & Irina Alexandra Georgescu & Adela Bâra, 2024. "Is Bitcoin ready to be a widespread payment method? Using price volatility and setting strategies for merchants," Electronic Commerce Research, Springer, vol. 24(2), pages 1267-1305, June.
9. Sapkota, Niranjan, 2025. "The crypto collapse chronicles: Decoding cryptocurrency exchange defaults," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 99(C).
10. Shen, Dehua & Wu, Yize, 2025. "The role of Guru investor in Bitcoin: Evidence from Kolmogorov-Arnold Networks," Research in International Business and Finance, Elsevier, vol. 75(C).
11. Nguyen, Phuc Lam Thy & Alsakka, Rasha & Mantovan, Noemi, 2023. "Political preferences and stock markets," International Review of Financial Analysis, Elsevier, vol. 90(C).
12. Moser, Stefanie & Brauneis, Alexander, 2023. "Should you listen to crypto YouTubers?," Finance Research Letters, Elsevier, vol. 54(C).
13. Anwer, Zaheer & Farid, Saqib & Khan, Ashraf & Benlagha, Noureddine, 2023. "Cryptocurrencies versus environmentally sustainable assets: Does a perfect hedge exist?," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 418-431.
14. Qiong Dang & Shixian Li, 2022. "Exploring Public Discussions Regarding COVID-19 Vaccinations on Microblogs in China: Findings from Machine Learning Algorithms," IJERPH, MDPI, vol. 19(20), pages 1-16, October.
15. Teterin, M. & Peresetsky, A., 2024. "Google Trends and Bitcoin volatility forecast," Journal of the New Economic Association, New Economic Association, vol. 65(4), pages 118-135.
16. 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.
17. Sapkota, Niranjan & Grobys, Klaus, 2023. "Fear sells: On the sentiment deceptions and fundraising success of initial coin offerings," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 83(C).
18. Elie Bouri & Afees A. Salisu & Rangan Gupta, 2023. "The predictive power of Bitcoin prices for the realized volatility of US stock sector returns," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-22, December.
19. Dorien Herremans & Kah Wee Low, 2022. "Forecasting Bitcoin volatility spikes from whale transactions and CryptoQuant data using Synthesizer Transformer models," Papers 2211.08281, arXiv.org.
20. Benlemlih, Mohammed & El Ouadghiri, Imane & Peillex, Jonathan & Platania, Federico & Toscano Hernandez, Celina, 2024. "Low-carbon movement and stock market uncertainty: Insights from international comparisons between fossil fuel companies," Energy Economics, Elsevier, vol. 136(C).
21. Ghosh, Indranil & Alfaro-Cortés, Esteban & Gámez, Matías & García-Rubio, Noelia, 2024. "Reflections of public perception of Russia-Ukraine conflict and Metaverse on the financial outlook of Metaverse coins: Fresh evidence from Reddit sentiment analysis," International Review of Financial Analysis, Elsevier, vol. 93(C).
22. Ştefan Cristian Gherghina & Liliana Nicoleta Simionescu, 2023. "Exploring the asymmetric effect of COVID-19 pandemic news on the cryptocurrency market: evidence from nonlinear autoregressive distributed lag approach and frequency domain causality," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-58, December.
23. Kao, Yu-Sheng & Day, Min-Yuh & Chou, Ke-Hsin, 2024. "A comparison of bitcoin futures return and return volatility based on news sentiment contemporaneously or lead-lag," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
24. Aslanidis, Nektarios & Bariviera, Aurelio F. & Savva, Christos S., 2024. "Do online attention and sentiment affect cryptocurrencies’ correlations?," Research in International Business and Finance, Elsevier, vol. 71(C).
25. Huynh, Nhan & Phan, Hoa, 2023. "Emotions in the crypto market: Do photos really speak?," Finance Research Letters, Elsevier, vol. 55(PB).
26. Elie Bouri & Afees A. Salisu & Rangan Gupta, 2022. "Bitcoin Prices and the Realized Volatility of US Sectoral Stock Returns," Working Papers 202224, University of Pretoria, Department of Economics.
27. Chen, Yuan & Han, Dongmei & Zhou, Xiaofeng, 2023. "Mining the emotional information in the audio of earnings conference calls : A deep learning approach for sentiment analysis of securities analysts' follow-up behavior," International Review of Financial Analysis, Elsevier, vol. 88(C).
28. Ahn, Yongkil & Kim, Dongyeon, 2023. "Visceral emotions and Bitcoin trading," Finance Research Letters, Elsevier, vol. 51(C).