Title of article
A comparison of global, recurrent and smoothed-piecewise neural models for Istanbul stock exchange (ISE) prediction
Author/Authors
Serdar Yümlü، نويسنده , , Fikret S. Gürgen، نويسنده , , Nesrin Okay، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2005
Pages
11
From page
2093
To page
2103
Keywords
Financial time series (FTS) prediction , Global , Feedback , Smoothed-piecewise neural models , Exponential generalizedautoregressive conditional heteroskedasticity (EGARCH) model , Risk estimation , Volatility
Journal title
PATTERN RECOGNITION LETTERS
Serial Year
2005
Journal title
PATTERN RECOGNITION LETTERS
Record number
251180
Link To Document