Mathematical Modeling in Finance with Stochastic Processes

(Ben Green) #1

262 CHAPTER 7. THE BLACK-SCHOLES MODEL


Given the parametersr, andσ^2 , and any 4 of Θ, ∆, Γ,SandVthe remaining
quantity is implicitly determined.


Rho: The interest rate factor


Therho(ρ) of a derivative security is the rate of change of the value of
the derivative security with respect to the interest rate. It measures the
sensitivity of the value of the derivative security to interest rates. For a
European call option on a non-dividend paying stock,


ρ=K(T−t) exp(−r(T−t))Φ(d 2 )

soρis always positive. An increase in the risk-free interest rate means a
corresponding increase in the derivative value.


Vega: The volatility factor


TheVega(Λ) of a derivative security is the rate of change of value of the
derivative with respect to the volatility of the underlying asset. (Note, some
authors also denote Vega by variouslyλ,κandσand refer to Vega by the
corresponding proper Greek letter name.) For a European call option on a
non-dividend-paying stock,


Λ =S



T−t

exp(−d^21 /2)

2 π

so the Vega is always positive. An increase in the volatility will lead to
a corresponding increase in the call option value. These formulas implicitly
assume that the price of an option with variable volatility (which we havenot
derived, we explicitly assumed volatility was a constant!) is the same as the
price of an option with constant volatility. To a reasonable approximation
this seems to be the case, for more details and references, see [22, page 316].


Hedging in Practice


It would be wrong to give the impression that traders continuously balance
their portfolios to maintain Delta neutrality, Gamma neutrality, Vega neu-
trality, and so on as would be suggested by the continuous mathematical

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