Forecasting stock price with ARDL method of one equation cumulative regression methods

Forecasting stock price had been paying attention to many analysts and stockholders. Today, this issue more recent years has been do by new methods but new methods, good enough, not have analysis of description and changes effective variables on stock price whereas all this method rely on regressio...

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Bibliographic Details
Main Authors: محمد حسن قلی زاده, قاسم وحید پور
Format: Article
Language:fas
Published: University of Tehran 2007-05-01
Series:تحقیقات مالی
Subjects:
Online Access:https://jfr.ut.ac.ir/article_27213_63d3e39cf371ffca08951485b6d22649.pdf
Description
Summary:Forecasting stock price had been paying attention to many analysts and stockholders. Today, this issue more recent years has been do by new methods but new methods, good enough, not have analysis of description and changes effective variables on stock price whereas all this method rely on regression bases. ARDL (Autoregression Distributed Lag ) of one equation cumulative regression method obtained estimation using lags from independent variables and dependent variable in model. That related tests included structural fixity test, heteroscedasticity test and autocorrelation test, thus upon that do final estimation and forecasting.
ISSN:1024-8153
2423-5377