Wednesday, June 22, 2016

local volatility - Downward sloping smile in normal model


We consider an stock price S following a normal model: dSt=σdWt


We can write this as dStSt=σStdWt


Hence we can see that S follows a "log-normal" diffusion with a local volatility function c(S)=σS which is downward sloping.


My question is: can we deduce that the log normal smile implied by this model will be downward sloping as well ? That is to say, if we have a local volatility function which is decreasing as a function of S, will the lognormal implied vol be decreasing as a function of the strike ?


Thanks !



Answer



Since ST=S0+σWT, C:=E((STK)+)=E((S0+σWTK)+)=KS0σT(S0+σTxK)12πex22dx=(S0K)Φ(S0KσT)+σT2πe(S0K)22σ2T,

where Φ is the cumulative distribution function of a standard normal random variable. Then, dCdK=Φ(S0KσT)<0.
On the other hand, let σI(K) be the log-normal implied volatility, that is, C=C(K,σI(K)).
Then dCdK=CK+CσIσIK.
Here, CK=Φ(d2),
where d2=lnS0K12σ2ITσIT.
Since limKS0KlnS0K=,
we can expect that, for K sufficiently large, d2>S0KσT.
That is, CσIσIK=Φ(d2)Φ(S0KσT)>0.
Then, σIK>0,
and the implied volatility is a increasing function of such strike levels. In conclusion, the implied volatility does not have to be a decreasing function of the strike.


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