Performance of Option Based Strategy Benchmark Index

Q4 Economics, Econometrics and Finance
Soon Shin Kwon, Byunghoon Kang, Jay M. Chung
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引用次数: 1

Abstract

This paper develops “Strategy Benchmark Index (SBI)” using KOSPI200 options data from January 2004 to March 2017, and then investigates their performances. The SBIs were constructed in the same way as those published daily by CBOE. To effectively analyze the performance of these SBIs, we classified them into four types : (1) Return enhancement SBIs (six indices), (2) Volatility trading SBIs (two indices), (3) Directional trading SBIs (two indices) and (4) Other SBIs (two indices). The return enchancement SBIs include bechmark indices tracking the performance of various covered call strategies and put writing strategies, which are generally used to increase investment returns. The volatility trading SBIs include benchmark indices tracking the performance of well-known volatility trading strategies such as butterfly spread and condor. Benchmark indices tracking the performance of various types of zero-cost collar strategies are classified into the directional trading SBIs. Our empirical results are as follows. First, the risk-adjusted performances of nine SBIs of the total twelve SBIs constructed from KOSPI200 index options has been shown to be great. Second, from a portfolio perspective, some SBIs can be helpful to improve the portfolio performance of CRRA (Constant Relative Risk Aversion) investors. These results imply that passive investment strategies with KOSPI200 index options can provide additional benefits that both equities and bonds do not provide. Third, even when we use the traditional mean-variance framework other than expected utility theory to verify the economic benefit of the SBIs, our empirical results are found to be still valid. In conclusion, our results suggest that some passive investment strategies using KOSPI200 index options would be beneficial to long term investors.
基于期权的战略基准指数的绩效
本文利用2004年1月至2017年3月的KOSPI200期权数据建立了“战略基准指数”,并对其表现进行了调查。SBI的构建方式与CBOE每天发布的相同。为了有效分析这些SBI的表现,我们将其分为四种类型:(1)收益增强SBI(六个指数),(2)波动性交易SBI(两个指数)、(3)定向交易SBI和(4)其他SBI(二个指数)。回报增强SBI包括bechmark指数,用于跟踪各种涵盖的看涨策略和看跌期权写入策略的表现,这些策略通常用于提高投资回报。波动性交易SBI包括跟踪蝴蝶价差和秃鹰等知名波动性交易策略表现的基准指数。跟踪各种类型的零成本项圈策略表现的基准指数被归类为定向交易SBI。我们的实证结果如下。首先,在由KOSPI200指数期权构建的总共12个SBI中,有9个SBI的风险调整后表现非常好。其次,从投资组合的角度来看,一些SBI有助于提高CRRA(恒定相对风险厌恶)投资者的投资组合绩效。这些结果表明,使用KOSPI200指数期权的被动投资策略可以提供股票和债券都无法提供的额外收益。第三,即使我们使用传统的均值-方差框架而不是期望效用理论来验证SBI的经济效益,我们的实证结果仍然有效。总之,我们的研究结果表明,使用KOSPI200指数期权的一些被动投资策略将有利于长期投资者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.30
自引率
0.00%
发文量
13
审稿时长
8 weeks
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