Exact Solution of Geometric Brownian Motion

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SUMMARY

The exact solution of Geometric Brownian Motion (GBM) is derived using Itô's lemma, which facilitates the integration of stochastic differential equations (SDEs). The equation dX_t = μX_t dt + σX_t dW_t can be manipulated by applying Itô's lemma to the expression dlogX_t. This approach allows for the integration of both sides, yielding Xt - X0 on the left-hand side and two integral expressions on the right-hand side, which incorporate the complexities of Brownian motion. Understanding the differences in handling stochastic integrals compared to traditional integrals is crucial for accurate calculations.

PREREQUISITES
  • Understanding of stochastic calculus and Itô's lemma
  • Familiarity with stochastic differential equations (SDEs)
  • Knowledge of Brownian motion and its properties
  • Basic integration techniques in calculus
NEXT STEPS
  • Study the application of Itô's lemma in various stochastic processes
  • Learn about the properties and applications of Brownian motion
  • Explore advanced integration techniques for stochastic integrals
  • Investigate other types of stochastic differential equations beyond GBM
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Mathematicians, quantitative analysts, financial engineers, and anyone involved in modeling financial processes using stochastic calculus.

Tilde90
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Hi!
Probably I am just confused, but why for the exact solution of the geometric brownian motion dX_t = \mu X_t dt+\sigma X_t dW_t we have to apply Ito's lemma and manipulate the expression obtained with dlogX_t? Couldn't we directly use the espression dX_t / X_t = dlogX_t in the equation dX_t / X_t = \mu dt+\sigma dW_t?
Thank you for your help!
 
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Tilde90 said:
Hi!
Probably I am just confused, but why for the exact solution of the geometric brownian motion dX_t = \mu X_t dt+\sigma X_t dW_t we have to apply Ito's lemma and manipulate the expression obtained with dlogX_t? Couldn't we directly use the espression dX_t / X_t = dlogX_t in the equation dX_t / X_t = \mu dt+\sigma dW_t?
Thank you for your help!

Hey Tilde90 and welcome to the forums.

You could do this, but it's easier to have in the 1st format since you can integrate both sides which on the LHS gives you Xt - X0 and on the RHS gives you two integral expressions which you can solve using the Ito Lemma.

You also need to remember that in one integral you have a Brownian motion measure and because of this, you need to be careful in how you calculate the integral since it is very different to how you treat normal integrals like say f(x)dx across the real line.
 
Thank you very much chiro.

I mistakenly believed that the "stochastic" integral were easier to calculate, as in the demonstration of the exact solution of the GBM with Ito's lemma it seems that they just integrate both terms of the SDE dlogX_t=(\mu-\frac{\sigma^2}{2})dt+\sigma dW_t.
 

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