Please use this identifier to cite or link to this item: http://ir.lib.seu.ac.lk/handle/123456789/1827
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dc.contributor.authorJahufer, A.
dc.contributor.authorImras, A.H.M.
dc.date.accessioned2016-11-21T06:58:38Z
dc.date.accessioned2016-11-23T06:18:59Z-
dc.date.available2016-11-21T06:58:38Z
dc.date.available2016-11-23T06:18:59Z-
dc.date.issued2015-11-25
dc.identifier.citationIn Proceedings of 4th Annual International Research Conference – 2015, on “Innovative Perspective in Business, Finance and Information Management”, pp 223-229.en_US
dc.identifier.isbn978-955-627-065-5
dc.identifier.urihttp://ir.lib.seu.ac.lk/handle/123456789/1827
dc.description.abstractThis study investigates the effects of some important sectors indices such as: Bank Finance & Insurance, Manufacturing, Trading, Hotels & Travels and Services on All Share Price Index (ASPI) in emerging Sri Lankan stock market using monthly data for the period from January 2005 to December 2014. It is aimed to find a suitable multiple regression model for Bank Finance & Insurance, Manufacturing, Trading, Hotels & Travels and Services on ASPI. In this paper, multiple linear regression model, multiple log linear model and multiple first difference of log linear models are analyzed using appropriate statistical tests. The first difference of log linear model is more appropriate to fit ASPI and other important related factors.en_US
dc.language.isoen_USen_US
dc.publisherFaculty of Management and Commerce, South Eastern University of Sri Lanka (SEUSL).en_US
dc.subjectStock marketen_US
dc.subjectASPIen_US
dc.subjectMultiple regressionen_US
dc.titleMultiple regression approach to fit suitable model for all share price index with other important related factorsen_US
dc.typeArticleen_US
Appears in Collections:4th Annual International Research Conference - 2015

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