Random regression forest model using technical analysis variables : an application on Turkish banking sector in Borsa Istanbul (BIST)
Senol Emir (Asst. Prof., Faculty of Economics, Istanbul University, Istanbul, Turkey), Hasan Dincer (Assoc.Prof. of Finance, Istanbul Medipol University, School of Business and Management, Istanbul, Turkey), Umit Hacioglu (Assoc.Prof. of Finance, Istanbul Medipol University, School of Business and Management, Istanbul, Turkey), Serhat Yuksel (Asst.Prof. of Economics & Finance, Konya Food & Agriculture University, Faculty of Social Sciences and Humanities, Konya, Turkey)
| Year of publication: |
2016
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|---|---|
| Authors: | Emir, Senol ; Dinçer, Hasan ; Hacıoğlu, Ümit ; Yuksel, Serhat |
| Published in: |
International journal of finance & banking studies : JJFBS. - Istanbul : [Verlag nicht ermittelbar], ISSN 2147-4486, ZDB-ID 2724514-7. - Vol. 5.2016, 3, p. 85-102
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| Subject: | Random Forest Regression | Artificial Neural Networks | Technical Analysis | Banking Sector | Variable Importance | Türkei | Turkey | Bank | Neuronale Netze | Neural networks | Regressionsanalyse | Regression analysis | Prognoseverfahren | Forecasting model | Finanzanalyse | Financial analysis | Theorie | Theory |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.20525/ijfbs.v5i3.461 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011448755