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Cited by 308

The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.

Capturing Option Anomalies with a Variance-Dependent Pricing Kernel

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Christoffersen, Peter, Heston, Steven, Jacobs, Kris·2013·Review of Financial Studies

Abstract

We develop a GARCH option model with a variance premium by combining the Heston-Nandi (2000) dynamic with a new pricing kernel that nests Rubinstein (1976) and Brennan (1979). 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 semi-parametric evidence to con firm 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.

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Crossref · 10.1093/rfs/hht033

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Metadata

Authors
Christoffersen, P., Heston, S., & Jacobs, K.
Venue
Review of Financial Studies
Published
2013-06-28
Volume
26
Issue
8
Pages
1963-2006
ISSN
  • 0893-9454 (ISSN-L)
  • 1465-7368
OpenAlex
W3125616152
Cited by
308
References
65
FWCI
44.79
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Capturing Option Anomalies with a Variance-Dependent Pricing Kernel. https://app.cochat.ai/papers/10.1093/rfs/hht033
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Christoffersen, P., Heston, S., & Jacobs, K. (2013). Capturing Option Anomalies with a Variance-Dependent Pricing Kernel. Review of Financial Studies. https://doi.org/10.1093/rfs/hht033

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.