About this document
Non-Stationarity and Cointegration Explained by Pole star is a document available to read on EtoBox.
The document discusses non-stationarity and cointegration, emphasizing the importance of testing for non-stationarity in time series data to avoid spurious regression and invalid hypothesis testing. It outlines different types of non-stationarity, methods for inducing stationarity, and various tests for unit roots, including the Dickey-Fuller and Phillips-Perron tests. Additionally, it highlights the need for careful treatment of stochastic and deterministic trends in economic and financial data.
- Author
- Pole star
- Language
- EN