Chapter 1: Financial Models

1.1 Introduction

The movement of financial assets and products generally displays some type of expected return, even over a short period. This expected return trends at a predictable rate that may be positive, indicating growth; negative, indicating a decline; or zero. Additionally, there are random movements that are individually unpredictable; however, the general distribution of these fluctuations is predictable based on historical movements. The common approach to model randomness is to assume a single- or multi-component Gaussian process. The generalized format to describe a time-dependent stochastic process is

equation

where the drift and volatility are functions of time and asset price , and is a Wiener process. If the drift and volatility are constants, then ...

Get Financial Derivative and Energy Market Valuation: Theory and Implementation in MATLAB now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.