Kendall (1953), Roberts (1959), Osborne (1959; 1964) and Samuelson (1965) modified the
Bachelier model (also known as the "arithmetic Brownian motion" model) assuming that the
return rates, instead of the stock prices, follow a Brownian motion (also known as the "geometric
Brownian motion" model or the "economic Brownian motion" model).
STOCHASTIC MODELING OF STOCK PRICES
Stochastic Modeling of Stock Prices
© Montgomery Investment Technology, Inc. / Sorin R. Straja, Ph.D., FRM
May 1997
Sorin R. Straja, Ph.D., FRM
Montgomery Investment Technology, Inc.
200 Federal Street
Camden, NJ 08103
Phone: (610) 688-8111
sorin.straja@fintools.com
www.fintools.com
ABSTRACT
The geometric Brownian motion model is widely used to explain the stock price time series. The
following sections summarize its main features. The stochastic model may be viewed as an
extension of the usual deterministic model for which the rate of return is viewed as a constant
value subjected to perturbations. We present both the Ito and Stratonovich interpretations of the
resulting stochastic differential equation. The parameters estimation and model predictions
could be done using either interpretation; however, the same interpretation must be used for both
steps (i.e., parameters estimation and model predictions).
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