Modelling stochastic multi-curve basis
| dc.contributor.advisor | Kienitz, Jörg | en_ZA |
| dc.contributor.advisor | McWalter, Thomas | en_ZA |
| dc.contributor.author | Dalton, Rowan | en_ZA |
| dc.date.accessioned | 2018-01-30T10:26:26Z | |
| dc.date.available | 2018-01-30T10:26:26Z | |
| dc.date.issued | 2017 | en_ZA |
| dc.description.abstract | As a consequence of the 2007 financial crisis, the market has shifted towards a multi-curve approach in modelling the prevailing interest rate environment. Currently, there is a reliance on the assumption of deterministic- or constant-basis spreads. This assumption is too simplistic to describe the modern multi-curve environment and serves as the motivation for this work. A stochastic-basis framework, presented by Mercurio and Xie (2012), with one- and two-factor OIS short-rate models is reviewed and implemented in order to analyse the effect of the inclusion of stochastic-basis in the pricing of interest rate derivatives. In order to preclude the existence of negative spreads in the model, a constraint on the spread model parameters is necessary. The inclusion of stochastic-basis results in a clear shift in the terminal distributions of FRA and swap rates. In spite of this, stochastic-basis is found to have a negligible effect on cap/floor and swaption prices for the admissible spread model parameters. To overcome challenges surrounding parameter estimation under the framework, a rudimentary calibration procedure is developed, where the spread model parameters are estimated from historical data; and the OIS rate model parameters are calibrated to a market swaption volatility surface. | en_ZA |
| dc.identifier.apacitation | Dalton, R. (2017). <i>Modelling stochastic multi-curve basis</i>. (Thesis). University of Cape Town ,Faculty of Commerce ,Division of Actuarial Science. Retrieved from http://hdl.handle.net/11427/27102 | en_ZA |
| dc.identifier.chicagocitation | Dalton, Rowan. <i>"Modelling stochastic multi-curve basis."</i> Thesis., University of Cape Town ,Faculty of Commerce ,Division of Actuarial Science, 2017. http://hdl.handle.net/11427/27102 | en_ZA |
| dc.identifier.citation | Dalton, R. 2017. Modelling stochastic multi-curve basis. University of Cape Town. | en_ZA |
| dc.identifier.ris | TY - Thesis / Dissertation AU - Dalton, Rowan AB - As a consequence of the 2007 financial crisis, the market has shifted towards a multi-curve approach in modelling the prevailing interest rate environment. Currently, there is a reliance on the assumption of deterministic- or constant-basis spreads. This assumption is too simplistic to describe the modern multi-curve environment and serves as the motivation for this work. A stochastic-basis framework, presented by Mercurio and Xie (2012), with one- and two-factor OIS short-rate models is reviewed and implemented in order to analyse the effect of the inclusion of stochastic-basis in the pricing of interest rate derivatives. In order to preclude the existence of negative spreads in the model, a constraint on the spread model parameters is necessary. The inclusion of stochastic-basis results in a clear shift in the terminal distributions of FRA and swap rates. In spite of this, stochastic-basis is found to have a negligible effect on cap/floor and swaption prices for the admissible spread model parameters. To overcome challenges surrounding parameter estimation under the framework, a rudimentary calibration procedure is developed, where the spread model parameters are estimated from historical data; and the OIS rate model parameters are calibrated to a market swaption volatility surface. DA - 2017 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2017 T1 - Modelling stochastic multi-curve basis TI - Modelling stochastic multi-curve basis UR - http://hdl.handle.net/11427/27102 ER - | en_ZA |
| dc.identifier.uri | http://hdl.handle.net/11427/27102 | |
| dc.identifier.vancouvercitation | Dalton R. Modelling stochastic multi-curve basis. [Thesis]. University of Cape Town ,Faculty of Commerce ,Division of Actuarial Science, 2017 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/27102 | en_ZA |
| dc.language.iso | eng | en_ZA |
| dc.publisher.department | Division of Actuarial Science | en_ZA |
| dc.publisher.faculty | Faculty of Commerce | en_ZA |
| dc.publisher.institution | University of Cape Town | |
| dc.subject.other | Mathematical Finance | en_ZA |
| dc.title | Modelling stochastic multi-curve basis | en_ZA |
| dc.type | Master Thesis | |
| dc.type.qualificationlevel | Masters | |
| dc.type.qualificationname | MPhil | en_ZA |
| uct.type.filetype | Text | |
| uct.type.filetype | Image | |
| uct.type.publication | Research | en_ZA |
| uct.type.resource | Thesis | en_ZA |
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