动态负载驱动波动串的VAR建模

R. Brüggemann, W. Härdle, Julius Mungo, Carsten Trenkler
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引用次数: 20

摘要

期权的隐含波动率作为执行价格和到期时间的函数形成波动率面。交易者根据这个高维面动态价格。最近的发展采用半参数模型在有限维函数空间中近似隐含波动面(IVS),允许这些动态的低维因子表示。本文利用向量自回归(VAR)框架研究了因子加载时间序列的随机特性,并分析了这些因子与经济指标的动态关系。版权所有作者2008。牛津大学出版社出版。版权所有。有关许可,请发电子邮件:journals.permissions@oxfordjournals.org,牛津大学出版社。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
VAR Modeling for Dynamic Loadings Driving Volatility Strings
The implied volatility of an option as a function of strike price and time to maturity forms a volatility surface. Traders price according to the dynamics of this high dimensional surface. Recent developments that employ semiparametric models approximate the implied volatility surface (IVS) in a finite dimensional function space, allowing for a low dimensional factor representation of these dynamics. This paper presents an investigation into the stochastic properties of the factor loading time series using the vector autoregressive (VAR) framework and analyzes the dynamic relationship of these factors with economic indicators. Copyright The Author 2008. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org., Oxford University Press.
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