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Option-Implied Currency Risk Premia - Princeton University

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and α j t terms, we take advantage of the fact that: kFi [1] = s ji<br />

s ji t + yt,t+1 i − yj t,t+1 .10 Finally, the exponential of the<br />

t ( )<br />

cumulant generating function, (20), evaluated at i · u, exp k Fi [i · u] , corresponds to the generalized Fourier<br />

transform of the log currency return. From there, the Fourier transform can be inverted numerically to produce<br />

prices for calls and puts, as in Carr and Madan (1999).<br />

s ji<br />

t<br />

1.4.1 <strong>Option</strong>-implied moments<br />

An attractive feature of our model, which we exploit in the empirical calibration, is that the cumulants of<br />

the distribution are linear functions of the state variables, {Z t , Yt i , Y j }. For example, the second and third<br />

cumulants under the risk-forward measure, F i are given by: 11<br />

t<br />

κ 2,Fi<br />

s ji<br />

t<br />

κ 3,Fi<br />

s ji<br />

t<br />

=<br />

=<br />

( ) 2 (<br />

ξt i − ξ j t ·<br />

( ) 3 (<br />

ξt i − ξ j t ·<br />

k L<br />

g<br />

t<br />

k L<br />

g<br />

t<br />

) ′′ [−ξ ] ( ) ′′<br />

i<br />

t · Zt + k L i<br />

t<br />

[−1] · Y<br />

i<br />

t +<br />

) ′′′ [−ξ ] ( ) ′′′<br />

i<br />

t · Zt + k L i<br />

t<br />

[−1] · Y<br />

i<br />

t −<br />

(<br />

k L<br />

j<br />

t<br />

(<br />

k L<br />

j<br />

t<br />

) ′′<br />

[0] · Y<br />

j<br />

t<br />

) ′′′<br />

[0] · Y<br />

j<br />

t<br />

(21a)<br />

(21b)<br />

Consequently, given a set of model parameters at time t, the state variables can be recovered using a crosssectional<br />

regression of cumulants measured from contemporaneous exchange rate option data onto the modelimplied<br />

coefficients. Although claims on cumulants are not traded, they can be readily reconstructed from option<br />

prices. Specifically, using the insights from Breeden and Litzenberger (1978) and Bakshi, et al. (2003), we<br />

compute option-implied swap rates for variance ( ˆV s<br />

ji<br />

t<br />

) and skewness (Ŝs ji ). The corresponding empirical esti-<br />

t<br />

mates of the risk-forward cumulants can then be recovered from the definitions linking moments and cumulants,<br />

ˆκ 2,Fi = ˆV<br />

( ) 3<br />

s ji s<br />

ji, and ˆκ 3,Fi<br />

2<br />

=<br />

t<br />

t s ji Ŝsji<br />

· ˆVs ji . With the prices of these claims in hand, the values of the state variables<br />

t<br />

t t<br />

can be inferred directly by means of a cross-sectional linear regression, sidestepping more complicated filtering<br />

procedures.<br />

10 To obtain this result consider pricing an investment in currency J from the perspective of an investor in country i:<br />

[<br />

M i ( ) ] [<br />

t+1<br />

1 = E t · Sji t+1<br />

· exp y j M i ( )<br />

(<br />

) ]<br />

t+1<br />

Mt<br />

i S ji<br />

t,t+1 = E t · exp y i<br />

M i t,t+1 · Sji t+1<br />

· exp y j<br />

t<br />

t<br />

S ji<br />

t,t+1 − yt,t+1<br />

i<br />

t<br />

= E Fi<br />

t<br />

[<br />

S<br />

ji (<br />

t+1<br />

· exp y j<br />

S ji<br />

t,t+1 − yt,t+1) ]<br />

i = exp<br />

t<br />

(k Fi<br />

s ji<br />

t<br />

[1] + y j t,t+1 − y i t,t+1<br />

11 The cumulants under the historical measure, P, are given by the same expressions, but with the derivatives of the consecutive cumulant<br />

generating functions evaluated at zero, rather than {−ξ i , −1, 0}.<br />

)<br />

15

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