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dc.contributor.authorKihiu, Annie M
dc.date.accessioned2012-11-13T12:36:31Z
dc.date.available2012-11-13T12:36:31Z
dc.date.issued2010
dc.identifier.urihttp://erepository.uonbi.ac.ke:8080/handle/123456789/5433
dc.description.abstractThis study aimed at establishing the factors that influence investor confidence in ATS at the NSE. Descriptive research study was used as the research design. The population consisted of MBA students as surrogate investors in the Nairobi Stock Exchange different NSE members. Systematic sampling was employed. The sample size of 50 MBA students was selected. The data used for the research project work was primary data collected from the students, and this was collected using questionnaires. The data analysis was based on quantitative approach using descriptive statistics as well as inferential in nature. The study found that the respondents were satisfied with automated Trading System as it had effective policies designed to promote local exchange growth and development and that it had added Liquidity to the Securities Markets. In addition, the respondents were also satisfied that Automated Trading System had specialized services and expanded product ranges shown However, the respondents were dissatisfied with the effectiveness of regulations and institutions that govern information flows and the security and Management of Automated Trading System. The study further established that the respondents considered maintenance of security, transparency of trading and system operations and maintenance of audit trails as the most important principles considered in relation to ATS operations. The study also found that the factors that influence investor confidence in ATS at the NSE were good transparency, better auditing, low corruption and effective regulations that govern information flows.en_US
dc.language.isoen_USen_US
dc.publisherUniversity of Nairobi, Kenyaen_US
dc.titleFactors influencing investor confidence in automated trading system in the Nairobi Stock Exchangeen_US
dc.title.alternativeThesis (MBA)en_US
dc.typeThesisen_US


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