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Table of Contents
Chapter 1: Introduction and Context
Chapter 2: A Review of Basic Statistics Concepts and the Linear Regression Model
Chapter 3: Statistics and Time Series
Chapter 4: Tools of the Forecaster
Chapter 5: Understanding Linear Dependence: A Link to Economic Models
Chapter 6: Forecasting with Moving Average (MA) Processes
Chapter 7: Forecasting with AutoRegressive (AR) Processes
Chapter 8: Forecasting Practice: Modeling San Diego House Price Index
Chapter 9: Assessment of Forecasts and Combination of Forecasts
Chapter 10: Forecasting the Long Run: Deterministic and Stochastic Trends
Chapter 11: Forecasting with a System of Equations: Vector AutoRegression
Chapter 12: Forecasting the Long Run and the Short Run Jointly: Cointegration and Error Correction Models
Chapter 13: Forecasting Volatility I
Chapter 14: Forecasting Volatility II
Chapter 15: Financial Applications of Time-varying Volatility
Chapter 16: Forecasting with Nonlinear Models