Fundamental factor models using machine learning
Year of publication: |
February 2018
|
---|---|
Authors: | Sugitomo, Seisuke ; Minami, Shotaro |
Published in: |
Journal of mathematical finance. - [S.l.] : Scientific Research, ISSN 2162-2434, ZDB-ID 2657377-5. - Vol. 8.2018, 1, p. 111-118
|
Subject: | Multi-Factor Model | Fundamental Factor Model | Support Vector Machine (SVM) | Gradient Boosting Decision Tree (GBDT) | Neural Network (NN) | Artificial Intelligence Finance | Künstliche Intelligenz | Artificial intelligence | Neuronale Netze | Neural networks | Mustererkennung | Pattern recognition | Theorie | Theory | Prognoseverfahren | Forecasting model | Faktorenanalyse | Factor analysis | Entscheidungsbaum | Decision tree |
-
Kapse, Manohar, (2024)
-
Is artificial intelligence really more accurate in predicting bankruptcy?
Letkovský, Stanislav, (2023)
-
Wen, Xiao, (2021)
- More ...
-
Predicting equity price with corporate action events using LSTM-RNN
Minami, Shotaro, (2018)
-
Fundamental Factor Models Using Machine Learning
Sugitomo, Seisuke, (2019)
-
Sugitomo, Seisuke, (2019)
- More ...