Modeling Colombo consumer price index (CCPI) using time series ARIMA model

dc.contributor.author	Alibuhtto, M.C.
dc.contributor.author	Peiris, T.S.G.
dc.date.accessioned	2015-10-29T09:41:36Z
dc.date.available	2015-10-29T09:41:36Z
dc.date.issued	2012-04-10
dc.identifier.isbn	9789556270266
dc.identifier.uri	http://hdl.handle.net/123456789/1206
dc.description.abstract	The monthly Colombo Consumer Price Index (CCPI) is the most widely used tool for measuring changes in the inflation which are important in formulating economic policies and making investment decisions. However, no methodology has been developed so far to predict CCPI at least one month ahead. Using monthly series of CCPI from January 2003 to December 2010, ARIMA (1, 1, and 1) model was identified as the best fitted for the CCPI series. The error series of the fitted model was found to be a white noise process. The model was also tested to an independent data set using CCPI index from January 2011 to May 2011.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Faculty of Management and Commerce, South Eastern University of Sri Lanka	en_US
dc.subject	Colombo Consumer Price Index	en_US
dc.subject	ARIMA	en_US
dc.title	Modeling Colombo consumer price index (CCPI) using time series ARIMA model	en_US
dc.type	Working Paper	en_US