Journal of Financial and Quantitative Analysis198722(4), b1-b3open access
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Journal of Financial and Quantitative Analysis198722(1), b1-b4open access
An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Journal of Financial and Quantitative Analysis198722(4), f1-f5open access
An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Journal of Financial and Quantitative Analysis198722(1), f1-f4open access
An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Journal of Financial and Quantitative Analysis198722(2), f1-f4open access
An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Journal of Financial and Quantitative Analysis198722(3), f1-f4open access
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Journal of Financial and Quantitative Analysis198722(2), b1-b3open access
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Journal of Financial and Quantitative Analysis198722(4), 419open access
In this paper, we examine the pricing of European call options on stocks that have variance rates that change randomly. We study continuous time diffusion processes for the stock return and the standard deviation parameter, and we find that one must use the stock and two options to form a riskless hedge. The riskless hedge does not lead to a unique option pricing function because the random standard deviation is not a traded security. One must appeal to an equilibrium asset pricing model to derive a unique option pricing function. In general, the option price depends on the risk premium associated with the random standard deviation. We find that the problem can be simplified by assuming that volatility risk can be diversified away and that changes in volatility are uncorrelated with the stock return. The resulting solution is an integral of the Black-Scholes formula and the distribution function for the variance of the stock price. We show that accurate option prices can be computed via Monte Carlo simulations and we apply the model to a set of actual prices.