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This thesis primarily sets out to investigate the possibility of incorporating autoregressive conditional heteroskedasticity (ARCH) assumptions in an option-valuation model for All Share Index option contracts, as an alternative to the constant variance assumption required by the Black-Scholes optio...
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| Format: | Thesis |
| Language: | English |
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Graduate School of Business (GSB)
2024
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| _version_ | 1867614235501002752 |
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| access_status_str | Open Access |
| author | Miller, Saul |
| author2 | Dorrington, Robert |
| author_browse | Dorrington, Robert Miller, Saul |
| author_facet | Dorrington, Robert Miller, Saul |
| author_sort | Miller, Saul |
| collection | Thesis |
| description | This thesis primarily sets out to investigate the possibility of incorporating autoregressive conditional heteroskedasticity (ARCH) assumptions in an option-valuation model for All Share Index option contracts, as an alternative to the constant variance assumption required by the Black-Scholes option-pricing model. This involves an assessment of whether the log-returns of the ALSI futures (the instruments underling the ALSl option) follow an ARCH process. A secondary objective is to assess the potential for using an ARCH process to model the ALST spot log returns. This could have the following uses:
• Pricing over-the-counter ALSI spot options.
• Using the forecast spot return ARCH volatility as a proxy for the forecast ALSI future log return volatility if they have similarly. This is desirable for pricing options on new futures contracts when there is insufficient historical futures data available to fit an ARCH model.
Evidence of ARCH presence is determined by examining autocorrelation in the square error terms of the log returns. Although some statistically significant autocorrelations were found, the lags which exhibited these significant autocorrelations showed no pattern. Furthermore, lags which exhibited these significant autocorrelations changed over time.
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| format | Thesis |
| id | oai:open.uct.ac.za:11427/40529 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:48:49.352Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Graduate School of Business (GSB) |
| publisherStr | Graduate School of Business (GSB) |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/40529 An Investigation into the suitability of using GARCH process for pricing options on the SAFEX all share index futures contracts Miller, Saul Dorrington, Robert MacDonald, lain Business Science This thesis primarily sets out to investigate the possibility of incorporating autoregressive conditional heteroskedasticity (ARCH) assumptions in an option-valuation model for All Share Index option contracts, as an alternative to the constant variance assumption required by the Black-Scholes option-pricing model. This involves an assessment of whether the log-returns of the ALSI futures (the instruments underling the ALSl option) follow an ARCH process. A secondary objective is to assess the potential for using an ARCH process to model the ALST spot log returns. This could have the following uses: • Pricing over-the-counter ALSI spot options. • Using the forecast spot return ARCH volatility as a proxy for the forecast ALSI future log return volatility if they have similarly. This is desirable for pricing options on new futures contracts when there is insufficient historical futures data available to fit an ARCH model. Evidence of ARCH presence is determined by examining autocorrelation in the square error terms of the log returns. Although some statistically significant autocorrelations were found, the lags which exhibited these significant autocorrelations showed no pattern. Furthermore, lags which exhibited these significant autocorrelations changed over time. 2024-08-16T13:18:42Z 2024-08-16T13:18:42Z 1999 2024-08-16T11:46:37Z Thesis / Dissertation Masters Masters http://hdl.handle.net/11427/40529 eng application/pdf Graduate School of Business (GSB) Faculty of Commerce |
| spellingShingle | Business Science Miller, Saul An Investigation into the suitability of using GARCH process for pricing options on the SAFEX all share index futures contracts |
| thesis_degree_str | Master's |
| title | An Investigation into the suitability of using GARCH process for pricing options on the SAFEX all share index futures contracts |
| title_full | An Investigation into the suitability of using GARCH process for pricing options on the SAFEX all share index futures contracts |
| title_fullStr | An Investigation into the suitability of using GARCH process for pricing options on the SAFEX all share index futures contracts |
| title_full_unstemmed | An Investigation into the suitability of using GARCH process for pricing options on the SAFEX all share index futures contracts |
| title_short | An Investigation into the suitability of using GARCH process for pricing options on the SAFEX all share index futures contracts |
| title_sort | investigation into the suitability of using garch process for pricing options on the safex all share index futures contracts |
| topic | Business Science |
| url | http://hdl.handle.net/11427/40529 |
| work_keys_str_mv | AT millersaul aninvestigationintothesuitabilityofusinggarchprocessforpricingoptionsonthesafexallshareindexfuturescontracts AT millersaul investigationintothesuitabilityofusinggarchprocessforpricingoptionsonthesafexallshareindexfuturescontracts |