# Introduction

## Topics to cover

- Introduction to time series
- Time series environment in R
- Univariate time series
- Stationary models
- Stationarity
- ACF
- General ARMA process
- Formulating ARMA process
- Invertibility of lag polynomials
- Common roots
- Stationarity and unit roots
- Testing for unit roots
- Estimation of ARMA models
- Choosing a model
- Predicting with ARMA model
- ARCH Models

## Multivariate time series models

- Dynamic models with stationary variables
- Models with nonstationary variables
- Spurious regressions
- Cointegration
- Cointegration and ECM

- Vector autoregressive models
- Cointegration: the multivariate case
- Cointegration in VAR
- Testing for cointegration