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Quanto Adjustments in the Presence of Stochastic Volatility

Quanto Adjustments in the Presence of Stochastic Volatility

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Figure 2: Implied volatilities for different correlation values<br />

We denote <strong>the</strong> extended model as double SV model and note that <strong>the</strong> correlation matrix between <strong>the</strong> Brownian<br />

motions W QX QX<br />

S , Wν , W QX QX<br />

Z , Wν is given by<br />

⎛<br />

⎞<br />

1 ρS,ν ρS,Z ρS,νF X<br />

⎜ ρS,ν ⎜ 1 ρν,Z ρν,νF<br />

⎟<br />

X ⎟<br />

⎜ ρS,Z ρν,Z ⎜<br />

1 ρZ,νF<br />

⎟<br />

X ⎟<br />

⎝<br />

⎠ .<br />

ρS,νF X ρν,νF X ρZ,νF X 1<br />

We reduce <strong>the</strong> dimensionality <strong>of</strong> <strong>the</strong> correlation matrix by choos<strong>in</strong>g <strong>the</strong> parametric form:<br />

ρS,νF X = ρS,ZρZ,νF X , ρν,Z = ρS,νρS,Z, ρν,νF X = ρS,νρS,ZρZ,νF X ,<br />

which matches correlation assumptions made by Dimitr<strong>of</strong>f et al. [1] and also corresponds to <strong>the</strong> correlation<br />

parametrization with parameter β = 0 used by Jäckel [5]. 6 For <strong>the</strong> calibration <strong>of</strong> <strong>the</strong> double SV model we determ<strong>in</strong>e<br />

<strong>the</strong> stochastic volatility parameters <strong>of</strong> ν <strong>the</strong> same way we did before and <strong>in</strong> addition obta<strong>in</strong> <strong>the</strong> FX parameters<br />

νF X,0, κF X, θF X, δF X and ρZ,νF by an analog calibration to standard options on <strong>the</strong> FX rate. The correlation<br />

X<br />

parameter ρS,Z is <strong>the</strong>n set such that <strong>the</strong> model price <strong>of</strong> <strong>the</strong> quanto forward is match<strong>in</strong>g quanto forward given by <strong>the</strong><br />

market. In absence <strong>of</strong> closed-form solutions for <strong>the</strong> prices <strong>of</strong> <strong>the</strong> quanto forward and quanto options <strong>in</strong> <strong>the</strong> double<br />

SV model we apply standard Monte Carlo methods to compute <strong>the</strong>se prices numerically and use <strong>the</strong> follow<strong>in</strong>g<br />

equations <strong>in</strong> this context: 7,8<br />

F q (t, T ) = e (rY −r X )(T −t) E Q X<br />

C q (t, T, K) = e −rX (T −t) E Q X<br />

�<br />

S(T ) ZY/X (T )<br />

ZY/X �<br />

,<br />

(t)<br />

�<br />

(S(T ) − K) + Z Y/X (T )<br />

Z Y/X (t)<br />

6 Jäckel [5] demonstrated that <strong>the</strong> specific choice <strong>of</strong> <strong>the</strong> parameter β used <strong>in</strong> his correlation parametrization does not have a significant<br />

impact on <strong>the</strong> prices <strong>of</strong> quanto options as long as <strong>the</strong> model is always calibrated to a given quanto forward.<br />

7 See Jäckel [4] or Dimitr<strong>of</strong>f et al. [1] for a simple derivation <strong>of</strong> <strong>the</strong> equations.<br />

8 In <strong>the</strong> <strong>in</strong>terest <strong>of</strong> brevity, we do not perform <strong>the</strong> change <strong>of</strong> measure to <strong>the</strong> domestic risk-neutral measure Q Y for <strong>the</strong> double SV model<br />

which would results <strong>in</strong> similar additional quanto adjustments as seen <strong>in</strong> <strong>the</strong> previous sections.<br />

8<br />

�<br />

.

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