Arbeitspapier

Modeling and forecasting Pakistan's inflation by using time series ARIMA models

This study attempts to outline the practical steps which need to be undertaken to use autoregressive integrated moving average (ARIMA) time series models for forecasting Pakistan's inflation. A framework for ARIMA forecasting is drawn up. On the basis of in-sample and out-of-sample forecast it can be concluded that the model has sufficient predictive powers and the findings are well in line with those of other studies. Further, in this study, the main focus is to forecast the monthly inflation on short-term basis, for this purpose, different ARIMA models are used and the candid model is proposed. On the basis of various diagnostic and selection & evaluation criteria the best and accurate model is selected for the short term forecasting of inflation.

Sprache
Englisch

Erschienen in
Series: Economic Analysis Working Papers ; No. 2007,1

Klassifikation
Wirtschaft
Thema
Inflation
Prognose
ARMA-Modell
Pakistan

Ereignis
Geistige Schöpfung
(wer)
Salam, Muhammad Abdus
Salam, Shazia
Feridun, Mete
Ereignis
Veröffentlichung
(wer)
Colegio de Economistas de A Coruña
(wo)
A Coruña
(wann)
2007

Handle
Letzte Aktualisierung
20.09.2024, 08:22 MESZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Salam, Muhammad Abdus
  • Salam, Shazia
  • Feridun, Mete
  • Colegio de Economistas de A Coruña

Entstanden

  • 2007

Ähnliche Objekte (12)