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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

Risk-Neutralization and No-Arbitrage

Now if we choose φ = ∂V/∂S, the square-bracketed terms from {7} disappear and change the Π to be deterministic, e.g. the portfolio is instantaneously risk-free (no random numbers are involved). Hence by the principle of no-arbitrage , Π must instantaneously earn the risk-free bank rate "r":

dΠ = rΠdt

Substituting the value of the portfolio:

dΠ = r (V − φS) dt

and combining this equation with {7}, dividing by dt and rearranging, we get:

(8)

This is the Black-Scholes equation and is a linear parabolic partial differential equation. In fact, almost all partial differential equations in finance are of a similar form. The Black-Scholes equation was first written down in 1969 but a few years passed, with Fisher Black and Myron Scholes justifying the model, before it was published. The derivation of the equation was finally published in 1973, although the call and put formulae had been published a year earlier.

Exact Solution for Black-Scholes Equation

We can say for the general Black-Scholes equation {8} that, for a European (vanilla) option that has boundary conditions or payoff:

(9)

we can find the explicit solution for V (S, T ):

(10)

where:

where N (d) is the standard normal cumulative distribution function (cdf ).

Prof. Klaus Schmitz

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