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Applied Econometric Time Series Third Edition
Walter Enders, University of Alabama Copyright © 2010 John Wiley & Sons, Inc.
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Chapter 3 MODELING VOLATILITY
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1. ECONOMIC TIME SERIES: THE STYLIZED FACTS
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2. ARCH PROCESSES ARCH Processes The GARCH Model
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3. ARCH AND GARCH ESTIMATES OF INFLATION
Engle’s Model of U.K. Inflation Bollerslev’s Estimates of U.S. Inflation
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4. TWO EXAMPLES OF GARCH MODELS
Volatility Moderation A GARCH Model of the Spread Formal Tests for ARCH Errors Alternative Estimates of the Model
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5. A GARCH MODEL OF RISK
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6. THE ARCH-M MODEL Implementation
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7. ADDITIONAL PROPERTIES OF GARCH PROCESSES
Properties of GARCH(1, 1) Error Processes Assessing the Fit Diagnostic Checks for Model Adequacy Forecasting the Conditional Variance
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8. MAXIMUM-LIKELIHOOD ESTIMATION OF GARCH MODELS
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9. OTHER MODELS OF CONDITIONAL VARIANCE
The IGARCH Model Models with Explanatory Variables Models with Asymmetry: TARCH and EGARCH Testing for Leverage Effects Nonnormal Errors
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10. ESTIMATING THE NYSE INTERNATIONAL 100 INDEX
The Model of the Mean Testing for GARCH Errors Alternative Estimates of the Model Diagnostic Checking The Asymmetric Models
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11. MULTIVARIATE GARCH Updating the Study
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12. SUMMARY AND CONCLUSIONS
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APPENDIX 3.1: MULTIVARIATE GARCH MODELS
The Log-Likelihood Function Multivariate GARCH Specifications
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