首页> 外文期刊>International Review of Economics and Finance >Robust hedging performance and volatility risk in option markets: Application to Standard and Poor's 500 and Taiwan index options
【24h】

Robust hedging performance and volatility risk in option markets: Application to Standard and Poor's 500 and Taiwan index options

机译:期权市场中强大的套期保值表现和波动风险:适用于标准普尔500指数和台湾指数期权

获取原文
获取原文并翻译 | 示例
       

摘要

We investigate daily robust hedging performance with trading costs for markets of Standard and Poor's (S&P) 500 Index options (SPX) and.Taiwan index options (TXO). In addition, we conduct a theoretical analysis to cope with the price limit constraint in TXO. Robust hedging refers to minimal model dependence on a risky asset price. Two hedging categories, including "Model-Free" and "Volatility-Model-Free," are investigated, and nonparametric methods for volatility estimation are considered in our empirical study. In particular, instantaneous volatility is estimated by a proposed nonlinear correction scheme of the Fourier transform method (Malliavin & Mancino, 2009), justified by a simulation study for a local volatility model. We found an asymmetric phenomenon in hedging performance. Hedging portfolios constructed from the "Volatility-Model-Free" category were found to induce much higher Sharpe ratios than those from the "Model-Free" category on SPX, while they were found to perform comparably on TXO. Motivated from the price limit regulation in Taiwan, we further develop a time-scale change method to explain this phenomenon. Asymptotic moment estimates of differences in some hedging portfolios are consistent with our empirical findings. (C) 2015 Elsevier Inc. All rights reserved.
机译:我们使用标准普尔(S&P)500指数期权(SPX)和台湾指数期权(TXO)市场的交易成本调查每日强劲的套期保值表现。此外,我们进行理论分析以应对TXO中的价格限制约束。稳健的对冲是指模型对风险资产价格的最小依赖。研究了两种套期保值类别,包括“无模型”和“无波动模型”,在我们的经验研究中考虑了非参数方法进行波动率估计。尤其是,瞬时波动率是通过提出的傅里叶变换方法的非线性校正方案(Malliavin&Mancino,2009)估算的,并通过对局部波动率模型的仿真研究得到了证明。我们在对冲表现中发现了不对称现象。发现与SPX上的“无模型”类别相比,对冲投资组合的夏普比率要高得多,而在TXO上却表现出较高的夏普比率。根据台湾的限价法规,我们进一步开发了一种时标更改方法来解释这种现象。一些对冲投资组合中的差异的渐近矩估计与我们的经验结果一致。 (C)2015 Elsevier Inc.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号