...
首页> 外文期刊>Applied mathematics and optimization >Small-Time Asymptotics for Gaussian Self-Similar Stochastic Volatility Models
【24h】

Small-Time Asymptotics for Gaussian Self-Similar Stochastic Volatility Models

机译:高斯自相似随机波动率模型的小型渐近学

获取原文
获取原文并翻译 | 示例
           

摘要

We consider the class of Gaussian self-similar stochastic volatility models, and characterize the small-time (near-maturity) asymptotic behavior of the corresponding asset price density, the call and put pricing functions, and the implied volatility. Away from the money, we express the asymptotics explicitly using the volatility process' self-similarity parameter H, and its Karhunen-Loeve characteristics. Several model-free estimators for H result. At the money, a separate study is required: the asymptotics for small time depend instead on the integrated variance's moments of orders 1/2 and 3/2, and the estimator for H sees an affine adjustment, while remaining model-free.
机译:我们考虑了高斯自我类似的随机波动率模型的类,并表征了相应资产价格密度,呼叫和提出定价功能的少时(近期时间)渐近行为,以及隐含的波动性。 远离资金,我们明确地使用波动率进程的自相似参数H明确地表达渐近学,及其Karhunen-Loeve特征。 用于H结果的几种无模型估算。 在这笔钱下,需要一个单独的研究:渐近的渐近依赖于综合方案的订单1/2和3/2的时刻,并且H的估计器看到仿射调整,同时剩余无模型调整。

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