ICBI 2017

Permanent URI for this collectionhttp://repository.kln.ac.lk/handle/123456789/18303

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Has files: YesSubject: search.filters.subject.Colombo Stock Exchange

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    Behavioral Factors Affecting to Selection of Brokerage Firm in Colombo Stock Exchange by Retail Investors.
    (8th International Conference on Business & Information ICBI – 2017, Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka., 2017) Fernando, C. S. P. K.; Gunasekara, A. L.; Weerasingha, W. D. J. D.; Dasanayake, D. M. A. S. N.
    This study examines the behavioral factors affecting to the selection of a stockbroker by retail customers, referring to the Behavioral Finance theory. This study is driven by two main objectives, to determine the main factors affecting to the selection decision and to identify the importance levels of the behavioral influences on the individual investors when selecting a stock brokerage firm. This research has used primary data collected through a distribution of a structured questioner and as a sample 60 individual investors were chosen using random sampling technique. However, only 47 questionnaires were returned and analyzed using five-point scale method. Exploratory Factor Analysis identified five main factors as Overconfidence and Gambler’s Fallacy Factors, Anchoring and Ability Bias Factors, Market Factors, Herding Factors and Firm Image Factors. The Reliability Test revealed that there is an internal consistency of each factor. Further, the findings suggest that the Firm Image Factor and Market Factor have the highest importance level for the selection decision whereas Herding Factor has lowest importance level.
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    Modeling the Best ARIMA Modeling Approach for Forecasting Market Indices in Colombo Stock Exchange, Sri Lanka.
    (8th International Conference on Business & Information ICBI – 2017, Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka., 2017) Madushani, M. L. P.; Erandi, M. W. A.; Madurangi, L. H. L. S.; Sivaraj, L. B. M.; Weerasinghe, W. D. D.; Jayasundara, D. D. M.; Rathnayaka, R. M. K. T.
    Generally, the movements of the stock prices are highly volatile and make much more dynamics. As a result day by day the large number of companies has been listed on stock exchanges across the world. Under this scenario, examine a suitable model for forecasting stock prices is a biggest challenge in the modern world. The propose of this study is to examine a suitable model for forecasting stock prices in the Colombo Stock Exchange (CSE), Sri Lanka. Since the data has a non-seasonal linear trend, an autoregressive integrated moving average model was used for modeling and forecasting. The empirical results suggested that ARIMA model is more accurate for forecasting ASPI index than other traditional regression methods.