2008-2021年康普100指数长跨策略的Black-Scholes和Garch期权模型比较

R. Hendrawan, M. D. A. Hasibuan
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Meanwhile, Black Scholes’s modeling was better on put options with an error rate of 1.9725%. In the 3-month period, GARCH modeling was better, with error rates for call and put options of 10.3882% and 7.4282%, respectively. In non-crisis years, GARCH modeling beat Black Scholes modeling during a one-month period with an error rate of 0.2689%, while Black Scholes modeling was better on put options with an error rate of 0.2943%. In addition, over a 3-month period, Black Scholes modeling performs better, with error rates on call and put options of 0.8821% and 1.0337%, respectively.\nNovelty – The longer the agreement term, the greater the error rate in both option models. The study results revealed that the error rate for the 3-month period was higher than the 1-month period.\nType of Paper: Empirical/ Review\nJEL Classification: G11, G13.\nKeywords: Option; Black Scholes; GARCH; AMSE; Long Straddle\nReference to this paper should be made as follows: Hendrawan, R; Hasibuan, M.D.A. 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引用次数: 0

摘要

目的:本研究旨在通过Black Scholes和GARCH模型研究在危机和非危机情况下对康普100指数的长期跨界策略下合约期权的使用。方法-观察期使用的数据是康普100指数2008年至2021年的收盘价。测试时间为1个月(2008年2月至2021年12月),3个月(2008年4月至2021年12月)。为了得到结果,通过实施多跨策略,比较了两种模型的平均均方误差(AMSE),即百分比数越低,模型越好。在危机期间的一个月内,GARCH模型的表现优于Black Scholes模型,看涨期权的错误率为2.5539%。同时,Black Scholes的模型在看跌期权上表现较好,错误率为1.9725%。在3个月期间,GARCH模型表现较好,看涨期权和看跌期权的错误率分别为10.3882%和7.4282%。在非危机年份,GARCH模型在一个月期间的错误率为0.2689%,优于Black Scholes模型,而Black Scholes模型在看跌期权上的错误率为0.2943%。此外,在3个月的时间内,Black Scholes模型表现更好,看涨期权和看跌期权的错误率分别为0.8821%和1.0337%。新颖性——协议期限越长,两种选择模型的错误率就越大。研究结果显示,3个月的错误率高于1个月的错误率。论文类型:Empirical/ ReviewJEL分类:G11, G13。关键词:选择;布莱克斯科尔斯;GARCH;AMSE;本文的参考文献如下:Hendrawan, R;韩川,M.D.A.(2023)。2008-2021年康普100指数的Black-Scholes期权模型与Garch期权模型的比较研究[j]。评论,7(4),01 - 15。https://doi.org/10.35609/jfbr.2023.7.4 (1)
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of Black-Scholes and Garch Option Models on The Kompas100 Index With a Long Straddle Strategy During 2008-2021
Objective –This study aims to look at the use of contract options through Black Scholes and GARCH modeling on the Kompas100 Index with a long straddle strategy both in crisis and non-crisis. Methodology – The data used for the observation period are the closing price of the Kompas100 Index from 2008 to 2021. The testing lasts one month (from February 2008 to December 2021), and three months (from April 2008 to December 2021). To get the results, the average mean square errors (AMSE) of the two models were compared by implementing the long straddle strategy, meaning that the model is better if the percentage number is lower. Findings – Over a one-month period during the crisis, GARCH modeling performed better than Black Scholes modeling, with an error rate of 2.5539% for call options. Meanwhile, Black Scholes’s modeling was better on put options with an error rate of 1.9725%. In the 3-month period, GARCH modeling was better, with error rates for call and put options of 10.3882% and 7.4282%, respectively. In non-crisis years, GARCH modeling beat Black Scholes modeling during a one-month period with an error rate of 0.2689%, while Black Scholes modeling was better on put options with an error rate of 0.2943%. In addition, over a 3-month period, Black Scholes modeling performs better, with error rates on call and put options of 0.8821% and 1.0337%, respectively. Novelty – The longer the agreement term, the greater the error rate in both option models. The study results revealed that the error rate for the 3-month period was higher than the 1-month period. Type of Paper: Empirical/ Review JEL Classification: G11, G13. Keywords: Option; Black Scholes; GARCH; AMSE; Long Straddle Reference to this paper should be made as follows: Hendrawan, R; Hasibuan, M.D.A. (2023). Comparison of Black-Scholes and Garch Option Models on The Kompas100 Index With a Long Straddle Strategy During 2008-2021, J. Fin. Bank. Review, 7(4), 01 – 15. https://doi.org/10.35609/jfbr.2023.7.4(1)
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