Analysis of equity and interest rate returns in South Africa under the context of jump diffusion processes

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dc.contributor.authorMongwe, Wilson Tsakaneen_ZA
dc.date.accessioned2016-01-29T11:00:17Z
dc.date.available2016-01-29T11:00:17Z
dc.date.issued2015en_ZA
dc.descriptionIncludes bibliographical referencesen_ZA
dc.description.abstractOver the last few decades, there has been vast interest in the modelling of asset returns using jump diffusion processes. This was in part as a result of the realisation that the standard diffusion processes, which do not allow for jumps, were not able to capture the stylized facts that return distributions are leptokurtic and have heavy tails. Although jump diffusion models have been identified as being useful to capture these stylized facts, there has not been consensus as to how these jump diffusion models should be calibrated. This dissertation tackles this calibration issue by considering the basic jump diffusion model of Merton (197G) applied to South African equity and interest rate market data. As there is little access to frequently updated volatility surfaces and option price data in South Africa, the calibration methods that are used in this dissertation are those that require historical returns data only. The methods used are the standard Maximum Likelihood Estimation (MLE) approach, the likelihood profiling method of Honore (1998), the Method of Moments Estimation (MME) technique and the Expectation Maximisation (EM) algorithm. The calibration methods are applied to both simulated and empirical returns data. The simulation and empirical studies show that the standard MLE approach sometimes produces estimators which are not reliable as they are biased and have wide confidence intervals. This is because the likelihood function required for the implementation of the MLE method is not bounded. In the simulation studies, the MME approach produces results which do not make statistical sense, such as negative variances, and is thus not used in the empirical analysis. The best method for calibrating the jump diffusion model to the empirical data is chosen by comparing the width of the bootstrap confidence intervals of the estimators produced by the methods. The empirical analysis indicates that the best method for calibrating equity returns is the EM approach and the best method for calibrating interest rate returns is the likelihood profiling method of Honore (1998).en_ZA
dc.identifier.apacitationMongwe, W. T. (2015). <i>Analysis of equity and interest rate returns in South Africa under the context of jump diffusion processes</i>. (Thesis). University of Cape Town ,Faculty of Commerce ,Division of Actuarial Science. Retrieved from http://hdl.handle.net/11427/16600en_ZA
dc.identifier.chicagocitationMongwe, Wilson Tsakane. <i>"Analysis of equity and interest rate returns in South Africa under the context of jump diffusion processes."</i> Thesis., University of Cape Town ,Faculty of Commerce ,Division of Actuarial Science, 2015. http://hdl.handle.net/11427/16600en_ZA
dc.identifier.citationMongwe, W. 2015. Analysis of equity and interest rate returns in South Africa under the context of jump diffusion processes. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Mongwe, Wilson Tsakane AB - Over the last few decades, there has been vast interest in the modelling of asset returns using jump diffusion processes. This was in part as a result of the realisation that the standard diffusion processes, which do not allow for jumps, were not able to capture the stylized facts that return distributions are leptokurtic and have heavy tails. Although jump diffusion models have been identified as being useful to capture these stylized facts, there has not been consensus as to how these jump diffusion models should be calibrated. This dissertation tackles this calibration issue by considering the basic jump diffusion model of Merton (197G) applied to South African equity and interest rate market data. As there is little access to frequently updated volatility surfaces and option price data in South Africa, the calibration methods that are used in this dissertation are those that require historical returns data only. The methods used are the standard Maximum Likelihood Estimation (MLE) approach, the likelihood profiling method of Honore (1998), the Method of Moments Estimation (MME) technique and the Expectation Maximisation (EM) algorithm. The calibration methods are applied to both simulated and empirical returns data. The simulation and empirical studies show that the standard MLE approach sometimes produces estimators which are not reliable as they are biased and have wide confidence intervals. This is because the likelihood function required for the implementation of the MLE method is not bounded. In the simulation studies, the MME approach produces results which do not make statistical sense, such as negative variances, and is thus not used in the empirical analysis. The best method for calibrating the jump diffusion model to the empirical data is chosen by comparing the width of the bootstrap confidence intervals of the estimators produced by the methods. The empirical analysis indicates that the best method for calibrating equity returns is the EM approach and the best method for calibrating interest rate returns is the likelihood profiling method of Honore (1998). DA - 2015 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2015 T1 - Analysis of equity and interest rate returns in South Africa under the context of jump diffusion processes TI - Analysis of equity and interest rate returns in South Africa under the context of jump diffusion processes UR - http://hdl.handle.net/11427/16600 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/16600
dc.identifier.vancouvercitationMongwe WT. Analysis of equity and interest rate returns in South Africa under the context of jump diffusion processes. [Thesis]. University of Cape Town ,Faculty of Commerce ,Division of Actuarial Science, 2015 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/16600en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDivision of Actuarial Scienceen_ZA
dc.publisher.facultyFaculty of Commerceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherMathematical Financeen_ZA
dc.subject.otherActuarial Scienceen_ZA
dc.titleAnalysis of equity and interest rate returns in South Africa under the context of jump diffusion processesen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMPhilen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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