economic political regulatory legal environmental and technological factors

Economic political regulatory legal environmental and

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economic, political, regulatory, legal, environmental and technological factors while valuing the shares at 5 per cent level. But, there is significant difference between married and single in the case of social factors. In the ANOVA test, it was found out that there is significant difference between the age groups in the case of political regulatory and legal factors and also there is significant difference between occupation in the case of political, regulatory and legal factors, while there is no significant difference in SPERTEL factors between different levels of investors classified on the basis of educational qualification, there is no significant difference in
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STOCK SELECTION PROCESS 19 SPERTEL factors between the places of living at 5% level, and also there is no significant difference in SPERTEL factors between different levels of Income Groups. Hossain & Nasrin (2012) conducted a study on 351 equity investors across nine brokerage houses in Khulna City using factor analysis and mean analysis to explore the components of market structure that may affect the investor decision towards equity shares selection. The study was carried out on 30 variables (items) that acted as the dependent variable against the demographic information and length of trading experience with Dhaka Stock Exchange (DSE), which acted as the independent variable. Those variables were adapted from the relevant literature, personal experience and interviews with investors and six local brokerage houses officials and measured on a five point Likert-type scale of importance ranging from 1 (not important) to 5 (very important). Non-probability (purposive) sampling was chosen for the study and the respondents (351 investors) were asked to complete the questionnaires on the spot. Analyses were computed using SPSS statistical software version 16. Descriptive statistical techniques including mean scores and standard deviation were used to assess the importance of each factor given by investors in investment decision. Factor analysis then was used to determine principal factors that could largely account for 30-variables. Independent sample t-test was conducted to examine whether the mean scores on data differ significantly between male and female investors. ANOVA was used to determine whether the mean scores of the factors differ significantly between the investors with regard to demographic factors and trading experience with DSE. In their study, it was found that company specific attributes or reputation, net asset value and accounting information while selecting stocks were highly emphasized by investors. Similarly, the study also found that accounting information had a significant difference in importance level across
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STOCK SELECTION PROCESS 20 respondents with regard to demographic factors and experience. The study concluded that respondents are giving significantly different degrees of importance to influence of people in selecting a share with regard to their age, occupation, education, and
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