Stock market prediction using evolutionary support vector machines : an application to the ASE20 index
Year of publication: |
August-September 2016
|
---|---|
Authors: | Karathanasopoulos, Andreas ; Theofilatos, Konstantinos ; Sermpinis, Georgios ; Dunis, Christian ; Mitra, Sovan ; Stasinakis, Charalampos |
Published in: |
The European journal of finance. - Abingdon, Oxon : Routledge, Taylor & Francis Group, ISSN 1351-847X, ZDB-ID 1282412-4. - Vol. 22.2016, 10/12, p. 1145-1163
|
Subject: | ASE20 stock index | trading | genetic algorithms | support vector machines | leverage | transaction costs | Aktienindex | Stock index | Mustererkennung | Pattern recognition | Evolutionärer Algorithmus | Evolutionary algorithm | Transaktionskosten | Transaction costs | Theorie | Theory | Börsenkurs | Share price | Prognoseverfahren | Forecasting model | Aktienmarkt | Stock market |
-
Chhajer, Parshv, (2022)
-
Mahmoodi, Armin, (2023)
-
Forecasting stock index returns using ARIMA-SVM, ARIMA-ANN and ARIMA-random forest hybrid models
Kumar, Manish, (2014)
- More ...
-
Inflation and Unemployment Forecasting with Genetic Support Vector Regression
Breitner, Michael H., (2014)
-
Inflation and unemployment forecasting with genetic support vector regression
Sermpinis, Georgios, (2014)
-
Sermpinis, Georgios, (2015)
- More ...