EconPapers    
Economics at your fingertips  
 

Ýlk Halka Arzlarda Uzun Dönem Getirilerinin Yapay Sinir Aðlarý ile ÝMKB Ýçin Ampirik Bir Çalýþma

Ulas Unlu (), Birol Yildiz () and Abdullah Yalama ()
Additional contact information
Ulas Unlu: Nevsehir University
Birol Yildiz: Eskisehir Osmangazi University

Istanbul University Econometrics and Statistics e-Journal, 2009, vol. 10, issue 1, 29-47

Abstract: The purpose of this study is to estimate the long run IPO (Initial Public Offerings) returns using artificial neural network (ANN). In wide-ranging literature OLS (Ordinary Least Squares) is commonly preferred to estimate long run IPO returns. This study applies artificial neural network addition to OLS. As a result of comparing the performance of ANN and OLS, ANN has better estimation than OLS for long run IPO returns in Turkey.

Keywords: Initial public offerings; long-run performance; ANN; OLS; ISE (search for similar items in EconPapers)
JEL-codes: C52 G14 G39 (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link)
http://eidergisi.istanbul.edu.tr/sayi10/iueis10m3.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: http://EconPapers.repec.org/RePEc:ist:ancoec:v:10:y:2009:i:1:p:29-47

Access Statistics for this article

More articles in Istanbul University Econometrics and Statistics e-Journal from Department of Econometrics, Faculty of Economics, Istanbul University Contact information at EDIRC.
Series data maintained by Kutluk Kagan Sumer ().

 
Page updated 2017-09-06
Handle: RePEc:ist:ancoec:v:10:y:2009:i:1:p:29-47