Prologue
Introduction
Chapter 1. General history
Chapter 2. The stochastic process
2.1 Solution part I. Intuition as a deterministic process
2.2 Solution part II. Definition of the dependent process and partial derivatives
2.3 Solution part III, ItO´s lemma application
2.4 Solution part IV. Integration from s to t, where 0 = s < t
2.5 Gaussian property
2.6 Solution part VI. Discretization process
2.7 Stationary property
2.7.1 Constant long - term Expected Value
2.7.2 Constant long-term Variance
2.7.3 Covariance
Chapter 3. The Dickey - Fuller test
3.1 Testing the mean-reverting pattern of a time series
3.2 The Dickey Fuller test with and without drift
Chapter 4. Calibration prócess
4.1 Maximum Log-Likelihood Method
4.1.1 Log-Likelihood function
4.1.2 First order conditions
4.1.3 Final equations
4.1.4 Particular issues about the parameters
4.2 Regression method
4.2.1 Regression model
4.2.2 Least Square Regression Method
4.3.3 Final equations
Chapter 5. Example for the London Cocoa Net Spot Convenience Yield
5.1 The class of futures contracts over commodities known as the London Cocoa Futures
5.2 Proxy for the London Cocoa Net Spot Convenience Yield
5.3 Mean reversion pattern
5.4 Parameters calibration
Bibliography