Login
Register
Reset Password
Publish & Distribute
Publishing Solutions
Distribution Solutions
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Blog
Contact
Search
EUR
USD
GBP
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
International Journal of Management and Economics
Volume 56 (2020): Issue 3 (September 2020)
Open Access
Identification of nonlinear determinants of stock indices derived by Random Forest algorithm
Grzegorz Tratkowski
Grzegorz Tratkowski
| Sep 10, 2020
International Journal of Management and Economics
Volume 56 (2020): Issue 3 (September 2020)
About this article
Previous Article
Next Article
Abstract
Article
Figures & Tables
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Article Category:
Empirical Paper
Published Online:
Sep 10, 2020
Page range:
209 - 217
Received:
Jan 28, 2020
Accepted:
Jun 30, 2020
DOI:
https://doi.org/10.2478/ijme-2020-0017
Keywords
determinants
,
Random Forest
,
stock index
,
machine learning
© 2020 Grzegorz Tratkowski, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.