Applied Economic Forecasting using Time Series Methods.
GHYSELS Eric ; MARCELLINO Massimiliano
2018
597
131.99-GHYSE
FINANCIAL MATHEMATICS ; FINANCIAL STATISTICS ; TIME SERIES ; STOCHASTIC PROCESS
No. | Call n° | Bar code | Commentary | |
---|---|---|---|---|
1 | [available] | |||
2 | Réserve - Ask a librarian [available] |
Comment :
ISBN 13 : 9780190622015
Contents :
Preface
PART I: Forecasting with the Linear Regression Model
Chapter 1 -The Baseline Linear Regression Model
Chapter 2 - Model Mis-Specification
Chapter 3 - The Dynamic Linear Regression Model
Chapter 4 - Forecast Evaluation and Combination
PART II: Forecasting with Time Series Models
Chapter 5 - Univariate Time Series Models
Chapter 6 - VAR Models
Chapter 7 - Error Correction Models
Chapter 8 - Bayesian VAR Models
PART III: TAR, Markov Switching and State Space Models
Chapter 9 - TAR and STAR Models
Chapter 10 - Markov Switching Models
Chapter 11 - State Space Models and the Kalman Filter
PART IV: Mixed Frequency, Large Datasets and Volatility
Chapter 12 - Models for Mixed Frequency Data
Chapter 13 - Models for Large Datasets
Chapter 14 - Forecasting Volatility
Bibliography
Language : English
Location : Nice Library
Material : Paper
Statement : Présent
Owner : Bibliothèque