Analyzing swings in Bitcoin returns : a comparative study of the LPPL and sentiment-informed random forest models
Year of publication: |
2024
|
---|---|
Authors: | Parra Moyano, José ; Partida, Daniel ; Gessl, Moritz ; Mazumdar, Somnath |
Published in: |
Digital finance : smart data analytics, investment innovation, and financial technology. - [Cham] : Springer Nature Switzerland AG, ISSN 2524-6186, ZDB-ID 2947479-6. - Vol. 6.2024, 3, p. 427-439
|
Subject: | Bitcoin | Cryptocurrencies | LPPL | Machine learning | Sentiment analysis | Virtuelle Währung | Virtual currency | Künstliche Intelligenz | Artificial intelligence | Elektronisches Zahlungsmittel | Electronic payment |
-
Reddit as a prediction tool for crypto-assets
Loredo Camou, Luis Antonio, (2022)
-
Yin, Hao Hua Sun, (2019)
-
Manahov, Viktor, (2021)
- More ...
-
What Managers Need to Know About Data Exchanges
Parra Moyano, José, (2020)
-
What managers need to know about data exchanges
Parra Moyano, José, (2020)
-
A note on the non-proportionality of winning probabilities in Bitcoin
Parra Moyano, José, (2024)
- More ...