DSpace Repository

Developing a model to identify performance of leisure sector stocks.

Show simple item record

dc.contributor.author Kalani, W.S.H.
dc.contributor.author Jayawickrama, S.J.T.P.
dc.contributor.author Perera, S.S.N.
dc.date.accessioned 2021-03-17T08:05:07Z
dc.date.accessioned 2022-07-07T05:24:40Z
dc.date.available 2021-03-17T08:05:07Z
dc.date.available 2022-07-07T05:24:40Z
dc.date.issued 2016
dc.identifier.uri http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/2021
dc.description.abstract The amount of investment that has gone into new developments and expansions in tourism are immense and has come under much scrutiny of both local and foreign investors. However, the performance of tourism industry is sensitive to both internal and external factors which have made it much difficult to forecast the future performances. This study attempts to develop the out-performing stock performances using binary logistic regression. Qualitative factors which are affected to the stock performance in hotel and travel industry namely, competition, infrastructure development and international proceeding and three financial ratios such as Percentage change of Net Sales (NS), Price to Cash Earnings per Share (PECEPS) and Price to Book value (PEBV) are considered as independent variables to develop this model. The stock performance which is calculated using annual stock return of each company from 2010 to 2014. The companies are categorized in to two classes based on their performance using annual stock return. The sample consists of the 21 listed companies in Colombo Stock Exchange and data collected from 2010 to 2014. The fitted model with mentioned independent variables is able to classify the companies up to 71.4% level of accuracy in to two categories, “good” or “poor”, based on annual stock return. This study can be used by investors, fund managers and investment companies in the leisure sector to enhance their ability to choose out-performing stocks. en_US
dc.language.iso en en_US
dc.publisher University of Jaffna en_US
dc.subject Financial ratios en_US
dc.subject Logistic regression model en_US
dc.subject Qualitative factors en_US
dc.subject Stock Performance en_US
dc.title Developing a model to identify performance of leisure sector stocks. en_US
dc.type Article en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record