Measuring the accuracy of forecasting using integrated VAR models

المؤلف

al-Murr, Nifin Ali Muhammad

المصدر

[Journal of Financial and Commercial Research]

العدد

المجلد 18، العدد 1 (31 مارس/آذار 2017)، ص ص. 1-24، 24ص.

الناشر

جامعة بورسعيد كلية التجارة

تاريخ النشر

2017-03-31

دولة النشر

مصر

عدد الصفحات

24

التخصصات الرئيسية

العلوم الاقتصادية والمالية وإدارة الأعمال

الملخص EN

This study addressed the problem of prediction integration.

Different weighting methods are applied to different VAR models.

Some economic time series such as unemployment rates, economic growth rates and the general government expenditure series are used to study their effect on each other through the use of VAR , VARX and SVAR models.

An evaluation of the integration between predections is presented.

The results showed that the combined models prediction is better than normal models.

The BICW method is the best combining method.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

al-Murr, Nifin Ali Muhammad. 2017. Measuring the accuracy of forecasting using integrated VAR models. [Journal of Financial and Commercial Research]،Vol. 18, no. 1, pp.1-24.
https://search.emarefa.net/detail/BIM-930881

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

al-Murr, Nifin Ali Muhammad. Measuring the accuracy of forecasting using integrated VAR models. [Journal of Financial and Commercial Research] Vol. 18, no. 1 (2017), pp.1-24.
https://search.emarefa.net/detail/BIM-930881

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

al-Murr, Nifin Ali Muhammad. Measuring the accuracy of forecasting using integrated VAR models. [Journal of Financial and Commercial Research]. 2017. Vol. 18, no. 1, pp.1-24.
https://search.emarefa.net/detail/BIM-930881

نوع البيانات

مقالات

لغة النص

الإنجليزية

رقم السجل

BIM-930881