Application of Volatility Targeting Strategies within a Black-Scholes Framework

dc.contributor.advisorMahomed, Obeid
dc.contributor.authorVakaloudis, Dmitri
dc.date.accessioned2020-02-25T11:38:35Z
dc.date.available2020-02-25T11:38:35Z
dc.date.issued2019
dc.date.updated2020-02-25T08:18:15Z
dc.description.abstractThe traditional Black-Scholes (BS) model relies heavily on the assumption that underlying returns are normally distributed. In reality however there is a large amount of evidence to suggest that this assumption is weak and that actual return distributions are non-Gaussian. This dissertation looks at algorithmically generating a Volatility Targeting Strategy (VTS) which can be used as an underlying asset. The rationale here is that since the VTS has a constant prespecified level of volatility, its returns should be normally distributed, thus tending closer to an underlying that adheres to the assumptions of BS.
dc.identifier.apacitationVakaloudis, D. (2019). <i>Application of Volatility Targeting Strategies within a Black-Scholes Framework</i>. (). ,Faculty of Commerce ,African Institute of Financial Markets and Risk Management. Retrieved from http://hdl.handle.net/11427/31319en_ZA
dc.identifier.chicagocitationVakaloudis, Dmitri. <i>"Application of Volatility Targeting Strategies within a Black-Scholes Framework."</i> ., ,Faculty of Commerce ,African Institute of Financial Markets and Risk Management, 2019. http://hdl.handle.net/11427/31319en_ZA
dc.identifier.citationVakaloudis, D. 2019. Application of Volatility Targeting Strategies within a Black-Scholes Framework.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Vakaloudis, Dmitri AB - The traditional Black-Scholes (BS) model relies heavily on the assumption that underlying returns are normally distributed. In reality however there is a large amount of evidence to suggest that this assumption is weak and that actual return distributions are non-Gaussian. This dissertation looks at algorithmically generating a Volatility Targeting Strategy (VTS) which can be used as an underlying asset. The rationale here is that since the VTS has a constant prespecified level of volatility, its returns should be normally distributed, thus tending closer to an underlying that adheres to the assumptions of BS. DA - 2019 DB - OpenUCT DP - University of Cape Town KW - Mathematical Finance LK - https://open.uct.ac.za PY - 2019 T1 - Application of Volatility Targeting Strategies within a Black-Scholes Framework TI - Application of Volatility Targeting Strategies within a Black-Scholes Framework UR - http://hdl.handle.net/11427/31319 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/31319
dc.identifier.vancouvercitationVakaloudis D. Application of Volatility Targeting Strategies within a Black-Scholes Framework. []. ,Faculty of Commerce ,African Institute of Financial Markets and Risk Management, 2019 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/31319en_ZA
dc.language.rfc3066eng
dc.publisher.departmentAfrican Institute of Financial Markets and Risk Management
dc.publisher.facultyFaculty of Commerce
dc.subjectMathematical Finance
dc.titleApplication of Volatility Targeting Strategies within a Black-Scholes Framework
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMPhil
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