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Implied Volatility

Since $v_{\sigma}>0$, then function $\sigma\mapsto v(x,K,T,t,\sigma,r_d,r_f,\phi)$ is

  1. strictly increasing,
  2. concave up for $\sigma\in[0,\sqrt{2\vert\ln f-\ln K\vert/\tau})$,
  3. concave down for $\sigma\in(\sqrt{2\vert\ln f-\ln K\vert/\tau},\infty)$
and also satisfies
$\displaystyle v(x,K,T,t,\sigma=0,r_d,r_f,\phi)$ $\textstyle =$ $\displaystyle [\phi(xe^{-r_f\tau}-Ke^{-r_d\tau})]^+,$ (45)
$\displaystyle v(x,K,T,t,\sigma=\infty,r_d,r_f,\phi=1)$ $\textstyle =$ $\displaystyle xe^{-r_f\tau},$ (46)
$\displaystyle v(x,K,T,t,\sigma=\infty,r_d,r_f,\phi=-1)$ $\textstyle =$ $\displaystyle Ke^{-r_d\tau},$ (47)
$\displaystyle v_{\sigma}(x,K,T,t,\sigma=0,r_d,r_f,\phi)$ $\textstyle =$ $\displaystyle xe^{-r_f\tau}\sqrt{\tau}/\sqrt{2\pi}I\!\!I_{\{f=K\}},$ (48)

there exists a unique implied volatility $\sigma=\sigma(v,x,K,T,t,r_d,r_f,\phi)$, which can be found by a Newton-Raphson method. However, the starting guess for employing this method should be chosen with care, because the mapping $\sigma\mapsto v(x,K,T,t,\sigma,r_d,r_f,\phi)$ has a saddle point at
\begin{displaymath}
\left(\sqrt{\frac{2}{\tau}\vert\ln\frac{f}{K}\vert},\phi\lef...
...eft(\phi \sqrt{2\tau[\ln\frac{K}{f}]^+}\right)\right\}\right).
\end{displaymath} (49)

To ensure convergence of the Newton-Raphson method, we are advised to use initial guesses for $\sigma$ on the same side of the saddle point as the desired implied volatility. The danger is that a large initial guess could lead to a negative successive guess for $\sigma$. Therefore one should start with small initial guesses at or below the saddle point. For at-the-money options, the saddle point is degenerate for a zero volatility and small volatilities serve as good initial guesses.


next up previous
Next: Strike Given Delta Up: Retrieving the Arguments Previous: Retrieving the Arguments

2000-06-11
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