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Identification of nonlinear determinants of stock indices derived by Random Forest algorithm Cover

Identification of nonlinear determinants of stock indices derived by Random Forest algorithm

International Journal of Management and Economics
Volume 56 (2020): Issue 3 (September 2020)
By:   
Open Access
|Sep 2020
Authors

Authors

Grzegorz Tratkowski

grzegorz.tratkowski@ue.wroc.pl

Wrocław University of Economics, Wrocław, Poland
DOI: https://doi.org/10.2478/ijme-2020-0017 | Journal eISSN: 2543-5361 | Journal ISSN: 2299-9701
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Language: English
Page range: 209 - 217
Submitted on: Jan 28, 2020
Accepted on: Jun 30, 2020
Published on: Sep 10, 2020
Published by: Warsaw School of Economics
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
determinants,
Random Forest,
stock index,
machine learning
Related subjects:
Business and economics,
Political economics,
Economic theory, systems and structures,
Business management,
Management accounting, financial controlling, cost calculation, investment

© 2020 Grzegorz Tratkowski, published by Warsaw School of Economics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 56 (2020): Issue 3 (September 2020)
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