Granger-Causality analysis of Ghana Universities Staff Superannuation Scheme (GUSSS), KNUST

dc.contributor.authorOwusu, Boakye Robert
dc.date.accessioned2014-10-29T15:48:56Z
dc.date.accessioned2023-04-20T10:26:39Z
dc.date.available2014-10-29T15:48:56Z
dc.date.available2023-04-20T10:26:39Z
dc.date.issued2014-10-29
dc.descriptionA thesis submitted to the Department of Mathematics, Kwame Nkrumah University of Science and Technology in partial fulfillment of the requirement for the Degree of Master of Science Industrial Mathematics College of Science/Institute of Distance Learningen_US
dc.description.abstractThe Ghana Universities Sta Superannuation Scheme (GUSSS) like any other pension scheme has income and expenditure patterns. However, whether in ows Granger-cause out ows or out ows Granger-cause in ows is unknown. This study investigates the state of the scheme, stability and long-term behaviors of the scheme, analyze the Granger-causality of in ows and out ows of funds and struc-ture of the scheme. In line with this objectives, secondary data of monthly in ows and out ows of funds for the period 2003 to 2009 were collected. The data was tted to vector autoregressive (VAR) model of order one(1) and the model param-eters were estimated by ordinary least squares(OLS) methods. It was found that the model variables were stationary after rst di erencing. The system matrix was also found the be stable. The Granger-causality test showed that out ows Granger-cause in ows which means that out ows of funds in the previous month has in uence on the in ows of funds in the current month. Again, the impulse response analysis showed that when one standard deviation shock was put to the error term, the model variables initially uctuated around the zero mean but remained steady and positive in the long-run. We therefore recommend that optimal investment portfolios must be adopted.en_US
dc.description.sponsorshipKNUSTen_US
dc.identifier.urihttps://ir.knust.edu.gh/handle/123456789/6657
dc.language.isoenen_US
dc.titleGranger-Causality analysis of Ghana Universities Staff Superannuation Scheme (GUSSS), KNUSTen_US
dc.typeThesisen_US
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