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
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)
References: Add references at CitEc
Citations View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
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 ().