Recovering Implied Volatility
成果类型:
Article
署名作者:
Kadan, Ohad; Liu, Fang; Tang, Xiaoxiao
署名单位:
Arizona State University; Arizona State University-Tempe; Cornerstone Research; University of Texas System; University of Texas Dallas
刊物名称:
MANAGEMENT SCIENCE
ISSN/ISSBN:
0025-1909
DOI:
10.1287/mnsc.2022.4653
发表日期:
2024
关键词:
options
implied volatility
factor models
摘要:
We propose a methodology for estimating option-implied, forward-looking variances and covariances of assets and portfolios, which may not possess actively traded options. Our approach relies on the observation that, if asset returns follow a factor structure, then the variances and covariances of the factors span the systematic variances and covariances of assets. We implement the methodology empirically and show that our forward-looking moment estimates provide useful implications for the prediction of jumps and for portfolio choice.