Comparison of machine learning methods for financial time series forecasting at the examples of over 10 years of daily and hourly data of DAX 30 and S&P 500
Crossref DOI link: https://doi.org/10.1007/s42001-019-00057-5
Published Online: 2019-11-05
Published Print: 2020-04
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Ersan, Deniz
Nishioka, Chifumi http://orcid.org/0000-0002-1853-3038
Scherp, Ansgar
Text and Data Mining valid from 2019-11-05
Version of Record valid from 2019-11-05
Article History
Received: 17 June 2019
Accepted: 24 October 2019
First Online: 5 November 2019
Compliance with ethical standards
:
: On behalf of all authors, the corresponding author states that there is no conflict of interest.