Semi-strong efficient market of Bitcoin and Twitter: An analysis of semantic vector spaces of extracted keywords and light gradient boosting machine models
Author:
Publisher
Elsevier BV
Subject
Economics and Econometrics,Finance
Reference69 articles.
1. Deep learning approach to determine the impact of socio economic factors on bitcoin price prediction;Aggarwal,2019
2. Efficiency, multifractality, and the long-memory property of the bitcoin market: A comparative analysis with stock, currency, and gold markets;Al-Yahyaee;Finance Research Letters,2018
3. A critical investigation of cryptocurrency data and analysis;Alexander;Quantitative Finance,2020
4. The inefficiency of bitcoin revisited: A dynamic approach;Bariviera;Economics Letters,2017
5. Where do we stand in cryptocurrencies economic research? A survey based on hybrid analysis;Bariviera;Journal of Economic Surveys,2021
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1. The Impact of Academic Publications over the Last Decade on Historical Bitcoin Prices Using Generative Models;Journal of Theoretical and Applied Electronic Commerce Research;2024-03-06
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