Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/43393 
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dc.contributor.authorSalam, Muhammad Abdusen
dc.contributor.authorSalam, Shaziaen
dc.contributor.authorFeridun, Meteen
dc.date.accessioned2007-12-05-
dc.date.accessioned2010-12-16T15:54:51Z-
dc.date.available2010-12-16T15:54:51Z-
dc.date.issued2007-
dc.identifier.urihttp://hdl.handle.net/10419/43393-
dc.description.abstractThis 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.en
dc.language.isoengen
dc.publisher|aColegio de Economistas de A Coruña |cA Coruñaen
dc.relation.ispartofseries|aEconomic Analysis Working Papers |x2007,1en
dc.subject.ddc330en
dc.subject.stwInflationen
dc.subject.stwPrognoseen
dc.subject.stwARMA-Modellen
dc.subject.stwPakistanen
dc.titleModeling and forecasting Pakistan's inflation by using time series ARIMA models-
dc.type|aWorking Paperen
dc.identifier.ppn550986480en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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