FORECASTING MUTUAL FUND NET ASSET VALUES USING ARTIFICIAL NEURAL NETWORKS

Autor:	Veli Akel, Fikriye Karacameydan
Rok vydání:	2012
Předmět:	jel:G17 Mutual Funds Net Asset Value Artificial Neural Network Financial Forecasting jel:G23
Popis:	This study aims to forecast net asset values of Turkish mutual funds using Artificial Neural Networks (ANN) method. In order to forecast net asset values of 38 mutual funds (19 A type and 19 B type), 6 macro economic variables are used in the period of January 2001-December 2008. Net asset values of mutual funds have been forecasted within the frame of both ANN and regression model and forecasting performances of the methods have been compared. Analysis results reveal that ANN method is capable of forecasting net asset values of mutual funds at a very low error level and seems to outperform regression method.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=od_______645::eefaa318c7cfdf023c996a1fc48bd480 http://www.anadolu.edu.tr/arastirma/hakemli_dergiler/sosyal_bilimler/pdf/2012_2/2012-02-07.pdf Zobrazit plný text záznamu