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Periodicity, Non-stationarity, and Forecasting of Economic and Financial Time Series: Editors' Introduction
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Published/Copyright:
February 3, 2011
Published Online: 2011-2-3
©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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Articles in the same Issue
- Article
- Periodicity, Non-stationarity, and Forecasting of Economic and Financial Time Series: Editors' Introduction
- Consideration of Trends in Time Series
- Detecting Common Dynamics in Transitory Components
- Nonparametric Tests for Periodic Integration
- Nearly Efficient Likelihood Ratio Tests for Seasonal Unit Roots
- Econometric Modelling of Time Series with Outlying Observations
- Forecasting Annual Inflation with Seasonal Monthly Data: Using Levels versus Logs of the Underlying Price Index
- Evaluating Automatic Model Selection
- On a Graphical Technique for Evaluating Some Rational Expectations Models
- Modeling the Volatility-Return Trade-Off When Volatility May Be Nonstationary
- HYBRID GARCH Models and Intra-Daily Return Periodicity
Articles in the same Issue
- Article
- Periodicity, Non-stationarity, and Forecasting of Economic and Financial Time Series: Editors' Introduction
- Consideration of Trends in Time Series
- Detecting Common Dynamics in Transitory Components
- Nonparametric Tests for Periodic Integration
- Nearly Efficient Likelihood Ratio Tests for Seasonal Unit Roots
- Econometric Modelling of Time Series with Outlying Observations
- Forecasting Annual Inflation with Seasonal Monthly Data: Using Levels versus Logs of the Underlying Price Index
- Evaluating Automatic Model Selection
- On a Graphical Technique for Evaluating Some Rational Expectations Models
- Modeling the Volatility-Return Trade-Off When Volatility May Be Nonstationary
- HYBRID GARCH Models and Intra-Daily Return Periodicity