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

  • Ulas UNLU

    ()

    (Nevsehir University)

  • Birol YILDIZ

    ()

    (Eskisehir Osmangazi University)

  • Abdullah YALAMA

    ()

    (Eskisehir Osmangazi University)

Registered author(s):

    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.

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    File URL: http://eidergisi.istanbul.edu.tr/sayi10/iueis10m3.pdf
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    Article provided by Department of Econometrics, Faculty of Economics, Istanbul University in its journal Istanbul University Econometrics and Statistics e-Journal.

    Volume (Year): 10 (2009)
    Issue (Month): 1 (December)
    Pages: 29-47

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    Handle: RePEc:ist:ancoec:v:10:y:2009:i:1:p:29-47
    Contact details of provider: Web page: http://eidergisi.istanbul.edu.tr

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