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Higher-order volatility: dynamics and sensitivities

Carey, Alexander (2006): Higher-order volatility: dynamics and sensitivities. Unpublished.

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Abstract

In this addendum to Carey (2005), we draw several more analogies with the Black-Scholes model. We derive the characteristic function of the underlying log process as a function of the volatilities of all orders. Option prices are shown to satisfy an infinite-order version of the Black-Scholes partial differential equation. We find that in the same way that the option sensitivity to the cost of carry is related to delta and vega to gamma in the Black-Scholes model, the option sensitivity to j-th order volatility is related to the j-th order sensitivity to the underlying. Finally, we argue that third-order volatility provides a possible basis for the introduction of a "skew swap" product.

Item Type:MPRA Paper
Language:English
Keywords:higher-order volatility; higher-order moments; characteristic function; Black-Scholes; infinite-order PDE
Subjects:G - Financial Economics > G1 - General Financial Markets > G12 - Asset Pricing; Trading volume; Bond Interest Rates
G - Financial Economics > G1 - General Financial Markets > G13 - Contingent Pricing; Futures Pricing
ID Code:5009
Deposited By:Alexander Carey
Deposited On:23. Sep 2007
Last Modified:07. Nov 2007 04:22
References:

Black, F. and M. Scholes (1973) The pricing of options and corporate liabilities, Journal of Political Economy 81(3), 637-654.

Carey, A. (2005) Higher-order volatility, working paper, SSRN library. http://ssrn.com/abstract=864084

Gardiner, C.W. (1985) Handbook of stochastic methods for physics, chemistry and the natural sciences, 2nd edition, Springer.

Gillespie, D. (1992) Markov processes: an introduction for physical scientists, Academic Press.

Haug, E.G. (1997) The complete guide to option pricing formulas, McGraw-Hill.

Jarrow, R. and A. Rudd (1982) Approximate option valuation for arbitrary stochastic processes, Journal of Financial Economics 10(3), 347-369.

Stuart, A. and K. Ord (1994) Kendall’s advanced theory of statistics (volume 1), 6th edition, Arnold.

Van Kampen, N.G. (1992) Stochastic processes in physics and chemistry, North-Holland.

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