首页> 外文期刊>Computational statistics & data analysis >A note on the properties of power-transformed returns in long-memory stochastic volatility models with leverage effect
【24h】

A note on the properties of power-transformed returns in long-memory stochastic volatility models with leverage effect

机译:关于具有杠杆效应的长记忆随机波动率模型中功率转换收益的性质的注释

获取原文
获取原文并翻译 | 示例
           

摘要

The autocorrelation function (acf) of powered absolute returns and their cross-correlations with original returns are derived, for any value of the power parameter, in the context of long-memory stochastic volatility models with leverage effect and Gaussian noises. These autocorrelations and cross-correlations generalize and correct recent results on the acf of squared and absolute returns.
机译:在具有杠杆效应和高斯噪声的长记忆随机波动率模型的情况下,对于功率参数的任何值,都可以推导带电绝对收益及其与原始收益的互相关的自相关函数(acf)。这些自相关和互相关可以根据平方和绝对收益率来概括和纠正最近的结果。

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