Risk-Neutral Portfolio Management

Applications of the fundamental partial differential equation

Roman Paolucci
The Startup

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You’re a portfolio manager and you have a portfolio with a quantity of q financial derivative contracts and p shares of the underlying asset. Mathematically, the portfolio at any point in time can be described by the following equation.

Where…

  • π — Portfolio value
  • p — Number of shares of the underlying asset
  • S — Price of the underlying asset at t
  • q — Number of financial derivative contracts
  • D — Price of the financial derivative contract

Your team is preparing research to assist in determining your net position in the underlying asset (bullish/bearish). Unfortunately, their research has been delayed, and you have exposure to changes in the underlying asset. Fortunately, this problem can be framed as a partial differential equation, and a solution in terms of a portfolio that mitigates directional risk can be found. As it turns out, every pricing model for every financial derivative must satisfy this partial differential equation. Let’s get started modelling this equation.

Geometric Brownian Motion

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