隐含概率密度函数的概要统计及其性质

Damien P.G. Lynch, Nikolaos Panigirtzoglou
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引用次数: 27

摘要

总结期权价格隐含的概率密度函数(pdf)的统计数据可用于评估市场对未来不确定性、不对称性和资产价格极端运动概率的预期。对股指和利率市场的这些统计数据进行时间序列分析,可以提供有关这些市场预期要素的行为、它们的历史分布、相似性和相对稳定性的一些程式化事实。考虑了它们与基础资产价格变动之间的关系。还评估了跨资产和跨国比较以及未来宏观经济和金融变量隐含pdf文件的信息内容。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Summary Statistics of Implied Probability Density Functions and Their Properties
The statistics that summarise probability density functions(pdfs) implied from option prices can be used to assess market expectations about future uncertainty, asymmetry and the probability of extreme movements in asset prices. A time-series analysis of these statistics for equity index and interest rate markets provides some stylised facts about the behaviour of these elements of market expectations, their historical distribution, similarity and relative stability. Relationships between them and movements in underlying asset prices are considered. Cross-asset and cross-country comparisons and the information content of the implied pdfs for future macroeconomic and financial variables are also assessed.
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