{"title":"南非股票背景下GARCH期权定价模型","authors":"PJ Venter, E. Maré","doi":"10.5784/36-1-676","DOIUrl":null,"url":null,"abstract":"In this paper, di\u000berent univariate GARCH option pricing models are applied to the FTSE/JSE Top 40 index to determine the best performing model when modelling the implied South African Volatility Index (SAVI). Three di\u000berent GARCH models (one symmetric and two asymmetric) are considered and three di\u000berent log-likelihood functions are used in the model parameter estimation. Furthermore, the accuracy of each model is tested by comparing the GARCH implied SAVI to the historical SAVI. In addition, the pricing performance of each model is tested by comparing the GARCH implied price to market option prices. The empirical results indicate that the models incorporating asymmetric e\u000bects outperform competing models in terms of pricing performance. \nKey words: Econometrics, nancial markets, pricing, stochastic processes.","PeriodicalId":30587,"journal":{"name":"ORiON","volume":"203 1","pages":"1-17"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"GARCH option pricing models in a South African equity context\",\"authors\":\"PJ Venter, E. Maré\",\"doi\":\"10.5784/36-1-676\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, di\\u000berent univariate GARCH option pricing models are applied to the FTSE/JSE Top 40 index to determine the best performing model when modelling the implied South African Volatility Index (SAVI). Three di\\u000berent GARCH models (one symmetric and two asymmetric) are considered and three di\\u000berent log-likelihood functions are used in the model parameter estimation. Furthermore, the accuracy of each model is tested by comparing the GARCH implied SAVI to the historical SAVI. In addition, the pricing performance of each model is tested by comparing the GARCH implied price to market option prices. The empirical results indicate that the models incorporating asymmetric e\\u000bects outperform competing models in terms of pricing performance. \\nKey words: Econometrics, nancial markets, pricing, stochastic processes.\",\"PeriodicalId\":30587,\"journal\":{\"name\":\"ORiON\",\"volume\":\"203 1\",\"pages\":\"1-17\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-08-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ORiON\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5784/36-1-676\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ORiON","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5784/36-1-676","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
GARCH option pricing models in a South African equity context
In this paper, dierent univariate GARCH option pricing models are applied to the FTSE/JSE Top 40 index to determine the best performing model when modelling the implied South African Volatility Index (SAVI). Three dierent GARCH models (one symmetric and two asymmetric) are considered and three dierent log-likelihood functions are used in the model parameter estimation. Furthermore, the accuracy of each model is tested by comparing the GARCH implied SAVI to the historical SAVI. In addition, the pricing performance of each model is tested by comparing the GARCH implied price to market option prices. The empirical results indicate that the models incorporating asymmetric eects outperform competing models in terms of pricing performance.
Key words: Econometrics, nancial markets, pricing, stochastic processes.