摘要本杠杆效应反映了股票收益率与其波动率变动之间的负相关关系,它一直是金融研究的核心问题.在高频时间序列数据中,传统的简单相关系数估计是不相合的,为此一些****给出了新的杠杆效应刻画——积分杠杆效应,并给出该杠杆效应的估计量.众所周知,高频数据易受市场微观结构噪音的干扰,其中舍入误差是非常重要、实际中普遍存在的一类.高频数据被舍入误差噪音污染后,本文研究上述****提出的杠杆效应估计量的稳健性,获得杠杆效应估计的相合性及渐近正态性,并用随机模拟对结果进行了验证. | | 服务 | | | 加入引用管理器 | | E-mail Alert | | RSS | 收稿日期: 2017-06-12 | | 基金资助:国家自然科学基金委重点项目(No.71931004)和重大研究计划培育项目(No.92046005),桥梁无损检测四川省高校重点实验室项目(No.2018QZJ01)和四川轻化工大学人才引进项目(No.2019RC10)资助. |
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