...
首页> 外文期刊>Quantitative Finance >An empirical study of the impact of skewness and kurtosis on hedging decisions
【24h】

An empirical study of the impact of skewness and kurtosis on hedging decisions

机译:偏度和峰度对套期决策影响的实证研究

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

This study uses real price data rather than a simulation approach to investigate how hedging behaviours may change when hedgers consider skewness and excess kurtosis of hedging returns in their decision models. The study involves modelling the time-varying skewness and excess kurtosis of returns. The empirical results show that adding a preference for positively skewed returns to traditional mean-variance models may not lead to more speculative hedging/investment behaviours. Post-hedged return distributions suggest that the third moments of hedged portfolios have probably been well adjusted by mean-variance strategies, rendering three-moment decision models on a par with traditional mean-variance models. Additionally, considering the aversion to excess kurtosis will cause investors to hedge more. The research also provides empirical support for traditional minimum-variance strategies.View full textDownload full textKeywordsFutures hedging, Skewness and kurtosis, SU -normal distributionRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/14697688.2012.696677
机译:这项研究使用真实的价格数据而不是模拟方法来研究当套期保值者在决策模型中考虑套期保值收益的偏斜和过度峰度时,套期保值行为可能会如何变化。该研究涉及对时变偏度和收益超峰度建模。实证结果表明,在传统的均值方差模型中增加偏向于正偏收益的偏好可能不会导致更多的投机对冲/投资行为。对冲后的收益分布表明,被对冲投资组合的第三时刻可能已经通过均值方差策略进行了很好的调整,使得三矩决策模型与传统均值方差模型相当。此外,考虑到对过度峰度的厌恶会导致投资者对冲更多。该研究还为传统的最小方差策略提供了经验支持。查看全文下载全文关键字期货对冲,偏度和峰度,SU-正态分布相关var addthis_config = { technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more“,发布:” ra-4dff56cd6bb1830b“};添加到候选列表链接永久链接http://dx.doi.org/10.1080/14697688.2012.696677

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