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Homoskedastis or Heteroskedastis Volatility Model for Option Pricing?

机译:Homoskedastis或Heteroskedastis选项定价的波动模型吗?

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The purpose of this research is to compare the accuracy of Black-Scholes Option Model and GARCH option models for Stock option utilizing data from Astra, BCA, Indofood and Telkom at the Indonesian Stock Exchange. The intraday stock return of Astra, BCA, Indofood and Telkom exhibits an overwhelming presence of volatility clustering, suggesting that GARCH model has an effect which best corresponds with the actual price. The best model is constructed using ARIMA model and the best lag in GARCH model is extracted. The finding from this research show that by comparing the average percentage mean squared errors of the GARCH Option Model and the Black-Scholes Option Model, the former was found more accurate than the latter. GARCH Model relatively improves average percentage mean squared errors of Black-Scholes Model; one month option shows a twenty eight point ten percent improvement, two month option shows twenty three point thirty percent and three month option shows twenty percent.
机译:本研究的目的是利用Astra,BCA,Indofood和Telkom的数据,比较Black-Scholes选项模型和GARCH选项模型的准确性,利用来自印度尼西亚证券交易所的Astra,BCA,Indoofood和Telkom的数据。 Astra,BCA,Indofood和Telkom的盘中股票回报呈现出挥发性聚类的压倒性,表明GARCH模型具有与实际价格相对应的效果。使用Arima模型构建了最佳模型,提取了GARCH模型中的最佳滞后。本研究的发现表明,通过比较GARCH选项模型和Black-Scholes选项模型的平均百分比平均平均误差,前者被发现比后者更准确。 GARCH模型相对提高了Black-Scholes模型的平均平均方形误差;一个月选项显示了二十八分十个改进,两个月选项显示二十三点30%,三个月的选择显示了20%。

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