We have already highlighted the dependence of derivative contracts on the
volatility of the underlying asset. The BS methodology makes the assumption
that the volatility is constant across time, that is why [so far] we have
ignored the effect of volatility changes on the value of a portfolio. If we
assume the
, then the Taylor's
expansion in the beginning of the lecture would become

.
The underlying asset's price and a forward contract on this asset do not
depend explicitly on the volatility, rendering
. Therefore one has to rely on nonlinear contracts [such as options]
to make a portfolio vega neutral. If one wants to achieve a gamma-vega
hedge, she will have to use two different derivative securities. This
is due to the fact that, generally speaking, for a given derivative the
values of gamma and vega will be different.
Say that we hold a portfolio with value
which has a given delta,
, gamma,
and vega
. Our goal is to find the position we have to take in two different
derivatives of the underlying asset, in order to achieve vega-gamma
neutrality. Say that we use two options with prices
and
,
with known deltas,
and
, gammas,
and
, and vegas,
and
. We also use the underlying asset, which has price
to achieve delta neutrality [of course
and
]. The resulting portfolio will be delta-gamma-vega
neutral.
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One can easily verify that
.
For a European call option the BS value of vega is given by
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Calculating vega from a model that considers constant volatility is not correct. On the other hand it can be shown that it offers a good approximation of the vega computed using models that assume the volatility to be stochastic, especially for short maturities. One can just remember the fact that implied BS volatilities of short maturity at-the-money options serve as an estimate of the expectation of the average volatility during the [short] life of the option. In this context vega can be used in practice.
Kyriakos 2003-03-17