Analysing volatility of Colombo consumer price index using GARCH models

dc.contributor.authorAlibuhtto, M.C
dc.date.accessioned2016-03-18T04:57:59Z
dc.date.available2016-03-18T04:57:59Z
dc.date.issued2014-08-02
dc.description.abstractThe objective of this paper is to analyse and modelling the volatility of Colombo Consumer Price Index (CCPI) in Sri Lanka using monthly data from January 2008 to April 2014. Three types of GARCH models (GARCH, TGARCH and EGARCH) were used for this study. Using various specifications for mean equation, study estimated GARCH (1, 1), TGARCH (1, 1) and EGARCH (1, 1) for CCPI. The estimation results reveal that ARMA (1, 0) - EGARCH (1, 1) comes out to be most appropriate specification for modelling CCPI volatility. The study finds that, no evidence of symmetry in the response of CCPI volatility to negative and positive shocks.en_US
dc.identifier.citationProceedings of 4th International Symposium 2015 on " Emerging Trends and Challenges on Sustainable Development”, p. 60
dc.identifier.isbn978-955-627-053-2
dc.identifier.urihttp://ir.lib.seu.ac.lk/handle/123456789/1456
dc.language.isoen_USen_US
dc.publisherSouth Eastern University of Sri Lanka, University Park, Oluvil #32360, Sri Lankaen_US
dc.subjectCCPIen_US
dc.subjectGARCHen_US
dc.subjectUnit rooten_US
dc.subjectVolatilityen_US
dc.titleAnalysing volatility of Colombo consumer price index using GARCH modelsen_US
dc.typeConference abstracten_US

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