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About Half Life Tsay Notes
1) The document discusses autoregressive (AR) models for analyzing financial time series data. It provides examples of AR(1) and AR(2) models fitted to U.S. quarterly GDP growth and monthly unemployment rate data. 2) Key aspects of AR models covered include stationarity conditions, mean, autocorrelation, forecasting, and half-life. Simulation and model building in R are also demonstrated. 3) Model diagnostics including residual analysis and Ljung-Box tests are suggested to check if residuals appear as white noise and the model is adequate. An example analysis of U.S. GDP growth data using these methods is outlined.
Detailed Information
| Author: | ['jez'] |
|---|---|
| Publication Year: | 2017 |
| Pages: | 25 |
| Language: | English |
| Format: | |
| Price: | FREE |
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