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Introduction to Implied, Local and Stochastic Volatility

Introduction

Implied Volatility - Ito's Lemma

Taylor Series Expansion

Applying Ito to the Hedging Portfolio

Risk-Neutralization and No-Arbitrage

Implied Volatility (Smiles and Skews)

Local Volatility

Stochastic Volatility

Coupled SDEs for Stochastic Volatility

Risk-Neutralization and No-Arbitrage

The Heston Model

Exact Solution for Heston Volatility

Ornstein-Uhlenbeck Process

Formulae derivation for Heston Volatility

The fundamental solution

References

Books Related

Introduction to Implied, Local and Stochastic Volatility

The fundamental solution

Suppose that we can find the solution of the PDE, say G(w, ν, τ ), with the property that at t = T , G(w, ν, 0) = 1. Then the solution to the transformed PDE {48} with payoff condition U (w, ν, 0) is just the product of this with G.

(49)

Lewis (refer to [11]) discusses how to solve {49} for the general case, but here we will only solve for the Heston model (γ = 1/ 2 ).

Greeks for free

Before figuring out G, we should point out that {49} is a remarkably useful representation. If you want to differentiate V with respect to S to obtain ∆, you merely multiply the integral by:

and for Γ, the integral is multiplied by:

This representation also makes obvious the link between ρ and ∆.

Finding the fundamental solution

For γ = 1/ 2 and Heston parameters, the PDE {48} yield the form:

(50)

What Heston [6] does is try to find a solution in the form:

with:

A [0, w] = B [0, w] = 0

in order to satisfy the condition that G[0, w] = 1 (at maturity). If we substitute this assumption for the form of G into the PDE {50}, we obtain the following condition:

The A' and B' denote the τ − derivative. This must be true for all ν so we separately equate the terms that are independent of ν and linear in ν to obtain the pair of ordinary differential equations:

Solving this, we obtain:

where:

So the exact solution of the option price using Heston volatility is:

(51)

using the condition:

for

Call options Im(w) > 1

Put options Im(w) < 0

For further information or more details, see [16] or [6].

Prof. Klaus Schmitz

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