Modelling the South African Inter-Bank Interest Rate Market using a Log-Normal Rational Pricing Kernel Model

dc.contributor.advisorTaylor, David
dc.contributor.advisorMahomed, Obeid
dc.contributor.authorHammond, Graeme
dc.date.accessioned2020-03-02T08:55:37Z
dc.date.available2020-03-02T08:55:37Z
dc.date.issued2019
dc.date.updated2020-03-02T08:35:42Z
dc.description.abstractThis dissertation examines the performance of two log-normal rational pricing kernel models and their calibration to the South African Inter-bank interest rate market. We investigate using Monte-Carlo simulation to price caps, floors and swaptions. Model-performance for both models was tested on single-strikes and entire volatility surfaces. Our results show that a one-factor model cannot reproduce the volatility smile present in the caps/floor market but can reproduce the at-the money swaption volatility surface. The two-factor model produces a better calibration to the volatility smile and captures most of the characteristics of the volatility surface.
dc.identifier.apacitationHammond, G. (2019). <i>Modelling the South African Inter-Bank Interest Rate Market using a Log-Normal Rational Pricing Kernel Model</i>. (). ,Faculty of Commerce ,African Institute of Financial Markets and Risk Management. Retrieved from http://hdl.handle.net/11427/31423en_ZA
dc.identifier.chicagocitationHammond, Graeme. <i>"Modelling the South African Inter-Bank Interest Rate Market using a Log-Normal Rational Pricing Kernel Model."</i> ., ,Faculty of Commerce ,African Institute of Financial Markets and Risk Management, 2019. http://hdl.handle.net/11427/31423en_ZA
dc.identifier.citationHammond, G. 2019. Modelling the South African Inter-Bank Interest Rate Market using a Log-Normal Rational Pricing Kernel Model. . ,Faculty of Commerce ,African Institute of Financial Markets and Risk Management. http://hdl.handle.net/11427/31423en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Hammond, Graeme AB - This dissertation examines the performance of two log-normal rational pricing kernel models and their calibration to the South African Inter-bank interest rate market. We investigate using Monte-Carlo simulation to price caps, floors and swaptions. Model-performance for both models was tested on single-strikes and entire volatility surfaces. Our results show that a one-factor model cannot reproduce the volatility smile present in the caps/floor market but can reproduce the at-the money swaption volatility surface. The two-factor model produces a better calibration to the volatility smile and captures most of the characteristics of the volatility surface. DA - 2019 DB - OpenUCT DP - University of Cape Town KW - Mathematical Finance LK - https://open.uct.ac.za PY - 2019 T1 - Modelling the South African Inter-Bank Interest Rate Market using a Log-Normal Rational Pricing Kernel Model TI - Modelling the South African Inter-Bank Interest Rate Market using a Log-Normal Rational Pricing Kernel Model UR - http://hdl.handle.net/11427/31423 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/31423
dc.identifier.vancouvercitationHammond G. Modelling the South African Inter-Bank Interest Rate Market using a Log-Normal Rational Pricing Kernel Model. []. ,Faculty of Commerce ,African Institute of Financial Markets and Risk Management, 2019 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/31423en_ZA
dc.language.rfc3066eng
dc.publisher.departmentAfrican Institute of Financial Markets and Risk Management
dc.publisher.facultyFaculty of Commerce
dc.subjectMathematical Finance
dc.titleModelling the South African Inter-Bank Interest Rate Market using a Log-Normal Rational Pricing Kernel Model
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMPhil
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