
arXiv: 1802.01307
handle: 20.500.14299/157031
In this paper we derive a series expansion for the price of a continuously sampled arithmetic Asian option in the Black-Scholes setting. The expansion is based on polynomials that are orthogonal with respect to the log-normal distribution. All terms in the series are fully explicit and no numerical integration nor any special functions are involved. We provide sufficient conditions to guarantee convergence of the series. The moment indeterminacy of the log-normal distribution introduces an asymptotic bias in the series, however we show numerically that the bias can safely be ignored in practice.
Forthcoming in Quantitative Finance
Mathematics, Interdisciplinary Applications, Economics, asian option, Computational Finance (q-fin.CP), FOS: Economics and business, Quantitative Finance - Computational Finance, Business & Economics, 91G20, 91G60, 60J60, exponential functionals, option pricing, orthogonal polynomials, Social Sciences, Mathematical Methods, Business, Finance, Mathematical Finance (q-fin.MF), Quantitative Finance - Mathematical Finance, gamma, Pricing of Securities (q-fin.PR), valuation, General Economics, Econometrics and Finance, Quantitative Finance - Pricing of Securities, Mathematics, Mathematical Methods In Social Sciences, Finance
Mathematics, Interdisciplinary Applications, Economics, asian option, Computational Finance (q-fin.CP), FOS: Economics and business, Quantitative Finance - Computational Finance, Business & Economics, 91G20, 91G60, 60J60, exponential functionals, option pricing, orthogonal polynomials, Social Sciences, Mathematical Methods, Business, Finance, Mathematical Finance (q-fin.MF), Quantitative Finance - Mathematical Finance, gamma, Pricing of Securities (q-fin.PR), valuation, General Economics, Econometrics and Finance, Quantitative Finance - Pricing of Securities, Mathematics, Mathematical Methods In Social Sciences, Finance
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