A Novel Dynamic Model for Ranking Cryptocurrencies in Different Time Horizons Based on Deep Learning and Sentiment Analysis
Author:
Affiliation:
1. School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/6287639/10380310/10555274.pdf?arnumber=10555274
Reference48 articles.
1. The causal relationship between Bitcoin attention and Bitcoin returns: Evidence from the Copula-based Granger causality test
2. Common Risk Factors in Cryptocurrency
3. Consumer-based modeling and ranking of the consumption factors of cryptocurrencies
4. Investigating risk assessment in post-pandemic household cryptocurrency investments: an explainable machine learning approach
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