IMKB 100 Endeksinin Yapay Sinir Aglari ve Newton Nümerik Arama Modelleri ile Tahmini/Forecasting ISE 100 Indice Using Artificial Neural Networks And Newton Numerical Search Models

Stock market price prediction is fairly important for developing countries such as TURKEY. In this study models were developed using some variables that are relevant to ISE 100 index. These models were tried to predict by using traditional time series, numerical search models and artificial neural n...

Full description

Saved in:
Bibliographic details
Volume: 4
Main Author: Hakan Aygören
Hakan Saritas
Tuncay Morali
Format: Journal Article
Language: English
Place of publication: Antalya Akdeniz University 01.01.2012
published in: Alanya Isletme Fakultesi Dergisi Vol. 4; no. 1; p. 73
Data of publication: 20120101
ISSN: 1309-1522
EISSN: 1309-1530
Online Access: available in Bonn?
Database: ProQuest One Business
ProQuest One Business (Alumni)
Database information Databases - DBIS