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Cited by 2,707

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Empirical Performance of Alternative Option Pricing Models

Open access
Bakshi, Gurdip, Cao, Charles, Chen, Zhiwu·1997·The Journal of Finance

Abstract

Substantial progress has been made in developing more realistic option pricing models. Empirically, however, it is not known whether and by how much each generalization improves option pricing and hedging. We fill this gap by first deriving an option model that allows volatility, interest rates and jumps to be stochastic. Using S&P 500 options, we examine several alternative models from three perspectives: (1) internal consistency of implied parameters/volatility with relevant time‐series data, (2) out‐of‐sample pricing, and (3) hedging. Overall, incorporating stochastic volatility and jumps is important for pricing and internal consistency. But for hedging, modeling stochastic volatility alone yields the best performance.

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Crossref · 10.1111/j.1540-6261.1997.tb02749.x

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Metadata

Authors
Bakshi, G., Cao, C., & Chen, Z.
Venue
The Journal of Finance
Publisher
Wiley
Published
1997-12
Volume
52
Issue
5
Pages
2003-2049
ISSN
  • 0022-1082 (ISSN-L)
  • 1540-6261
OpenAlex
W2129220488
Cited by
2,707
References
1
FWCI
62.16
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Empirical Performance of Alternative Option Pricing Models. https://app.cochat.ai/papers/10.1111/j.1540-6261.1997.tb02749.x
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Bakshi, G., Cao, C., & Chen, Z. (1997). Empirical Performance of Alternative Option Pricing Models. The Journal of Finance. https://doi.org/10.1111/j.1540-6261.1997.tb02749.x

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.