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Quanto Adjustments in the Presence of Stochastic Volatility

Quanto Adjustments in the Presence of Stochastic Volatility

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management <strong>of</strong> standard quanto options without a material loss <strong>of</strong> exactness even though only at-<strong>the</strong>-money FX<br />

implied volatilities are used.<br />

6 Conclusion<br />

We have <strong>in</strong>troduced a model for <strong>the</strong> pric<strong>in</strong>g <strong>of</strong> quanto options which features stochastic volatility for <strong>the</strong> underly<strong>in</strong>g.<br />

Closed-form pric<strong>in</strong>g formulas for <strong>the</strong> quanto forward and standard quanto options have been derived for <strong>the</strong><br />

model which facilitate a fast calibration <strong>of</strong> <strong>the</strong> model and an efficient pric<strong>in</strong>g and risk management <strong>of</strong> standard<br />

quanto options without <strong>the</strong> need <strong>of</strong> us<strong>in</strong>g Monte Carlo methods or numerical solutions <strong>of</strong> PDEs. We found that <strong>in</strong><br />

addition to <strong>the</strong> common quanto adjustment <strong>in</strong> <strong>the</strong> drift <strong>of</strong> <strong>the</strong> underly<strong>in</strong>g a quanto adjustment <strong>in</strong> <strong>the</strong> volatility needs<br />

to be considered. The impact <strong>of</strong> this additional quanto adjustment has been studied and shown to be <strong>of</strong> significance<br />

for <strong>the</strong> prices <strong>of</strong> standard quanto options. Fur<strong>the</strong>rmore, we have numerically studied <strong>the</strong> accuracy <strong>of</strong> <strong>the</strong> obta<strong>in</strong>ed<br />

quanto option prices <strong>in</strong> <strong>the</strong> framework <strong>of</strong> a double stochastic volatility model with stochastic volatility for both <strong>the</strong><br />

underly<strong>in</strong>g and <strong>the</strong> FX process. In this study, we have observed that our stochastic volatility model only produced<br />

very small price differences <strong>in</strong> comparison to <strong>the</strong> benchmark prices <strong>of</strong> <strong>the</strong> double stochastic volatility model and<br />

has <strong>the</strong> advantage <strong>of</strong> <strong>of</strong>fer<strong>in</strong>g closed-form solutions. In addition, three commonly used methods for <strong>the</strong> pric<strong>in</strong>g <strong>of</strong><br />

quanto options have been <strong>in</strong>cluded <strong>in</strong> <strong>the</strong> numerical study with <strong>the</strong> observation that <strong>the</strong> standard methods produce<br />

price differences <strong>in</strong> comparison to <strong>the</strong> two stochastic volatility models which are above <strong>the</strong> usual bid/<strong>of</strong>fer spreads<br />

and are due to <strong>the</strong> miss<strong>in</strong>g quanto adjustment <strong>in</strong> <strong>the</strong> volatility.<br />

It is clear that <strong>the</strong> volatility chang<strong>in</strong>g effect <strong>of</strong> <strong>the</strong> additional quanto adjustment does not only have an impact on<br />

standard quanto options but also on exotic quanto options with high vega exposure like barrier options for <strong>in</strong>stance.<br />

In <strong>the</strong> <strong>in</strong>terest <strong>of</strong> brevity, we defer <strong>the</strong> analysis <strong>of</strong> exotic quanto options as well as a more extensive analysis <strong>of</strong> <strong>the</strong><br />

impact <strong>of</strong> <strong>the</strong> FX smile or skew on quanto options to future work.<br />

Alexander Giese is head <strong>of</strong> <strong>the</strong> equity and commodity quant team at UniCredit. He would like to thank Dong Qu, Thomas<br />

Goll, Jan Maruhn, Lionel Viet, Francesco Robertella and two anonymous referees for helpful comments and suggestions.<br />

Email: alexander.giese@unicreditgroup.de<br />

References<br />

[1] G. Dimitr<strong>of</strong>f, A. Szimayer, and A. Wagner. <strong>Quanto</strong> option pric<strong>in</strong>g <strong>in</strong> <strong>the</strong> parsimonious heston model. Berichte des Fraunh<strong>of</strong>er<br />

ITWM, (174), 2009.<br />

[2] F. Gerlich, A. Giese, J.H. Maruhn, and E.W. Sachs. Parameter identification <strong>in</strong> f<strong>in</strong>ancial market models with a feasible<br />

po<strong>in</strong>t sqp algorithm. Journal <strong>of</strong> Computational Optimization and Applications, 2010.<br />

[3] S. L. Heston. A closed-form solution for options with stochastic volatility with applications to bond and currency options.<br />

The Review <strong>of</strong> F<strong>in</strong>ancial Studies, 6(2):327343, 1993.<br />

[4] P. Jäckel. <strong>Quanto</strong> skew. www.jaeckel.org/<strong>Quanto</strong>Skew.pdf, 2009.<br />

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[6] A. Lipton and A. Sepp. <strong>Stochastic</strong> volatility models and kelv<strong>in</strong> waves. Journal <strong>of</strong> Physics A: Ma<strong>the</strong>matical and Theoretical,<br />

41(32), 2008.<br />

[7] R. Lord and C. Kahl. Optimal fourier <strong>in</strong>version <strong>in</strong> semi-analytical option pric<strong>in</strong>g. Journal <strong>of</strong> Computational F<strong>in</strong>ance,<br />

10(4):1–30, 2007.<br />

[8] E. Re<strong>in</strong>er. <strong>Quanto</strong> mechanics. Risk, 5(3):59–63, 1992.<br />

[9] R. Schöbel and J. Zhu. <strong>Stochastic</strong> volatility with an ornste<strong>in</strong>-uhlenbeck process: an extension. European F<strong>in</strong>ance Review,<br />

4:23–46, 1999.<br />

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