Fuzzy modelling of the Johannesburg Security Exchange overall index

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dc.contributor.advisorGuo, Renkuanen_ZA
dc.contributor.authorMusongole, Chibelushi Maxwell Cen_ZA
dc.date.accessioned2014-09-29T07:23:37Z
dc.date.available2014-09-29T07:23:37Z
dc.date.issued2002en_ZA
dc.descriptionBibliography: leaves 181-206.en_ZA
dc.description.abstractThis thesis focuses on the empirical analysis of the fuzzy feature of the Johannesburg Stock Exchange Overall Index using fuzzy logic techniques. The data for the periods 1985 - 2001 is used in the analysis. Description of the fuzzy feature is crucial to the proper understanding of the movement of the JSE Overall Index and the South African economy. The fuzzy feature of the Johannesburg Security Exchange Overall Index if understood would impact on the financial and economical decisions. A preliminary Fractal analysis is carried out before the fuzzy analysis to investigate the nature of the Johannesburg Security Exchange Overall Index. The Johannesburg Security Exchange Overall Index experiences the Hurst phenomena of long memory for periods of 100 days (approximately three months). Outside the long memory periods, the Johannesburg Security Exchange Overall Index is found to exhibit antipersistent or short-range dependency characteristics. The fuzzy feature of the Johannesburg Security Exchange Overall Index is described by many aspects of fuzzy logic. The analysis of the fuzzy feature is carried out according to time periods of approximately 4 years each of the Johannesburg Security Exchange Overall Index. The index in each time period is partitioned in three fuzzy states: "low", "middle" and "high". The fuzzy states are important in assessing the fuzzy nature of the Johannesburg Security Exchange Overall Index. The partitioning reveals that the fuzzy states of the Johannesburg Security Exchange Overall Index do not possess sharp boundaries. The sizes of the fuzzy states are found to change with time. This reflects changes in the forces behind the dynamics of the index.en_ZA
dc.identifier.apacitationMusongole, C. M. C. (2002). <i>Fuzzy modelling of the Johannesburg Security Exchange overall index</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Statistical Sciences. Retrieved from http://hdl.handle.net/11427/7711en_ZA
dc.identifier.chicagocitationMusongole, Chibelushi Maxwell C. <i>"Fuzzy modelling of the Johannesburg Security Exchange overall index."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Statistical Sciences, 2002. http://hdl.handle.net/11427/7711en_ZA
dc.identifier.citationMusongole, C. 2002. Fuzzy modelling of the Johannesburg Security Exchange overall index. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Musongole, Chibelushi Maxwell C AB - This thesis focuses on the empirical analysis of the fuzzy feature of the Johannesburg Stock Exchange Overall Index using fuzzy logic techniques. The data for the periods 1985 - 2001 is used in the analysis. Description of the fuzzy feature is crucial to the proper understanding of the movement of the JSE Overall Index and the South African economy. The fuzzy feature of the Johannesburg Security Exchange Overall Index if understood would impact on the financial and economical decisions. A preliminary Fractal analysis is carried out before the fuzzy analysis to investigate the nature of the Johannesburg Security Exchange Overall Index. The Johannesburg Security Exchange Overall Index experiences the Hurst phenomena of long memory for periods of 100 days (approximately three months). Outside the long memory periods, the Johannesburg Security Exchange Overall Index is found to exhibit antipersistent or short-range dependency characteristics. The fuzzy feature of the Johannesburg Security Exchange Overall Index is described by many aspects of fuzzy logic. The analysis of the fuzzy feature is carried out according to time periods of approximately 4 years each of the Johannesburg Security Exchange Overall Index. The index in each time period is partitioned in three fuzzy states: "low", "middle" and "high". The fuzzy states are important in assessing the fuzzy nature of the Johannesburg Security Exchange Overall Index. The partitioning reveals that the fuzzy states of the Johannesburg Security Exchange Overall Index do not possess sharp boundaries. The sizes of the fuzzy states are found to change with time. This reflects changes in the forces behind the dynamics of the index. DA - 2002 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2002 T1 - Fuzzy modelling of the Johannesburg Security Exchange overall index TI - Fuzzy modelling of the Johannesburg Security Exchange overall index UR - http://hdl.handle.net/11427/7711 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/7711
dc.identifier.vancouvercitationMusongole CMC. Fuzzy modelling of the Johannesburg Security Exchange overall index. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Statistical Sciences, 2002 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/7711en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Statistical Sciencesen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherStatistical Sciencesen_ZA
dc.titleFuzzy modelling of the Johannesburg Security Exchange overall indexen_ZA
dc.typeDoctoral Thesis
dc.type.qualificationlevelDoctoral
dc.type.qualificationnamePhDen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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