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dc.contributor.authorRathnayaka, RM Kapila Tharanga
dc.contributor.authorJianguo, Wei
dc.contributor.authorNagahawatta, SC
dc.date.accessioned2018-06-05T14:33:46Z
dc.date.available2018-06-05T14:33:46Z
dc.date.issued2014
dc.identifier.urihttp://ir.kdu.ac.lk/handle/345/1616
dc.descriptionarticle full texten_US
dc.description.abstractCapital Investments in stock market is the easiest and fastest way for building healthy financial foundation for our future life. As a result, stock markets have become more institutionalized in the past few decades and have been advanced as the main forms of investments for numerous organizations as well as individuals for arranging large investment funds to the general public. Present study mainly focuses an attempt to develop a suitable model based on Geometric Brownian Motion (GBM) to estimate the short-term share price behaviours in the Colombo Stock Exchange (CSE), Sri Lanka based on daily price indices data from January to December, 2013. Furthermore, a time series technique such as ARIMA was used to compare the results.en_US
dc.language.isoenen_US
dc.subjectGBMen_US
dc.subjectArima and Mapeen_US
dc.titleA Review on Geometric Brownian Motion for Forecasting the Daily Share Prices in CSEen_US
dc.typeArticle Full Texten_US
dcterms.bibliographicCitationRathnayaka, R. K. T., Jianguo, W. and Nagahawatta, S. (2014) ‘A Review on Geometric Brownian Motion for Forecasting the Daily Share Prices in CSE’, in KDU International Research Symposium Proceedings. General Sir John Kotelawala Defence University, pp. 210–215. Available at: http://ir.kdu.ac.lk/handle/345/1616.
dc.identifier.journalKDU IRCen_US
dc.identifier.issueFOMSHen_US
dc.identifier.pgnos210-215en_US


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