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1997
DOI: 10.1111/j.1540-6261.1997.tb02749.x
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Empirical Performance of Alternative Option Pricing Models

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 timeseries data, (2) out-of-sampl… Show more

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Cited by 1,749 publications
(1,300 citation statements)
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References 47 publications
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“…Model-implied risk premia allow us to assess the plausibility of our parameter estimates comparing the P and Q measures: Bates (1991) and Bakshi, Cao, and Chen (1997) formulate a simple criterion to check whether a model implies reasonable risk preferences in its generalequilibrium translation -the estimated risk premia should be close to zero. Though there exist large extreme premia of -4 and 50 times the corresponding spread for jumps in η and ±55…”
Section: B Jumpsmentioning
confidence: 99%
“…Model-implied risk premia allow us to assess the plausibility of our parameter estimates comparing the P and Q measures: Bates (1991) and Bakshi, Cao, and Chen (1997) formulate a simple criterion to check whether a model implies reasonable risk preferences in its generalequilibrium translation -the estimated risk premia should be close to zero. Though there exist large extreme premia of -4 and 50 times the corresponding spread for jumps in η and ±55…”
Section: B Jumpsmentioning
confidence: 99%
“…The probability function is then obtained via inverse Fourier transformation. Recently, using this approach, Bakshi, Cao and Chen (1997) develop and test a comprehensive closed-form option pricing formula including jump components of the stock price process, stochastic interest rates, and a square-root based stochastic volatility. Stochastic volatility option pricing models with closed-form solutions include also Bates (1994), and Scott (1997).…”
Section: Introductionmentioning
confidence: 99%
“…and then partially integrating (6.3) yields 4) which is the desired transformation with a function of integration c 1 (t). Additional differentiations of (6.3) produce…”
Section: Transformation To Perfect-square Formmentioning
confidence: 99%