Capturing Option Anomalies with a Variance-Dependent Pricing Kernel
成果类型:
Article
署名作者:
Christoffersen, Peter; Heston, Steven; Jacobs, Kris
署名单位:
University of Toronto; Copenhagen Business School; University System of Maryland; University of Maryland College Park; University of Houston System; University of Houston; Tilburg University
刊物名称:
REVIEW OF FINANCIAL STUDIES
ISSN/ISSBN:
0893-9454
DOI:
10.1093/rfs/hht033
发表日期:
2013
页码:
1963
关键词:
STATE-CONTINGENT CLAIMS
stochastic volatility
information-content
MARKET VOLATILITY
risk premia
prices
valuation
implicit
GARCH
MODEL
摘要:
We develop a GARCH option model with a new pricing kernel allowing for a variance premium. While the pricing kernel is monotonic in the stock return and in variance, its projection onto the stock return is nonmonotonic. A negative variance premium makes it U shaped. We present new semiparametric evidence to confirm this U-shaped relationship between the risk-neutral and physical probability densities. The new pricing kernel substantially improves our ability to reconcile the time-series properties of stock returns with the cross-section of option prices. It provides a unified explanation for the implied volatility puzzle, the overreaction of long-term options to changes in short-term variance, and the fat tails of the risk-neutral return distribution relative to the physical distribution.