Exploring the predictability of cryptocurrencies via Bayesian hidden Markov models
Year of publication: |
2022
|
---|---|
Authors: | Koki, Constandina ; Leonardos, Stefanos ; Piliouras, Georgios |
Published in: |
Research in international business and finance. - Amsterdam [u.a.] : Elsevier, ISSN 0275-5319, ZDB-ID 424514-3. - Vol. 59.2022, p. 1-15
|
Subject: | Bitcoin | Bayesian inference | Forecasting | Cryptocurrencies | Ether | Hidden Markov models | Regime switching models | Ripple | Markov-Kette | Markov chain | Bayes-Statistik | Virtuelle Währung | Virtual currency | Prognoseverfahren | Forecasting model | Theorie | Theory | Stochastischer Prozess | Stochastic process |
-
Hachicha, Fatma, (2022)
-
On a regime switching illiquid high volatile prediction model for cryptocurrencies
El-Khatib, Youssef, (2024)
-
Regime switches and commonalities of the cryptocurrencies asset class
Figà-Talamanca, Gianna, (2021)
- More ...
-
Coalitions and voting power in the Greek Parliament of 2012 : a case-study
Koki, Constandina, (2019)
-
PREStO : a systematic framework for blockchain consensus protocols
Leonardos, Stefanos, (2020)
-
Koki, Constandina, (2020)
- More ...