The efficiency of Bitcoin : a strongly typed genetic programming approach to smart electronic Bitcoin markets
Year of publication: |
2021
|
---|---|
Authors: | Manahov, Viktor ; Urquhart, Andrew |
Published in: |
International review of financial analysis. - Amsterdam [u.a.] : Elsevier, ISSN 1057-5219, ZDB-ID 1133622-5. - Vol. 73.2021, p. 1-14
|
Subject: | Artificial intelligence | Bitcoin trading | Cryptocurrencies | Evolutionary computation | Market efficiency | Smart electronic markets | Electronic Commerce | E-commerce | Virtuelle Währung | Virtual currency | Effizienzmarkthypothese | Efficient market hypothesis | Elektronisches Geld | Electronic money | Künstliche Intelligenz | Elektronisches Handelssystem | Electronic trading | Datensicherheit | Data security | Mathematische Optimierung | Mathematical programming | Computerunterstützung | Computerized method |
-
Informational inefficiency of Bitcoin : a study based on high-frequency data
Zargar, Faisal Nazir, (2019)
-
Yin, Hao Hua Sun, (2019)
-
Is the Bitcoin market efficient? : a literature review
Lengyel-Almos, Krisztina Eva, (2021)
- More ...
-
High‐frequency trading from an evolutionary perspective : Financial markets as adaptive systems
Manahov, Viktor, (2018)
-
High‐frequency trading order cancellations and market quality : Is stricter regulation the answer?
Manahov, Viktor, (2020)
-
Stock market investment and different behavioural patterns : an exploratory study
Argan, Metin, (2021)
- More ...