GARCH models : structure, statistical inference and financial applications

GARCH models : structure, statistical inference and financial applications / Christian Francq, Jean-Michel Zakoïan.

This book provides a complete coverage to GARCH modeling, including probability properties, identifying an appropriate model, estimation and testing, multivariate extensions including EGARCH, TGARCH and APGARCH, volatility features such as asymmetries and financial applications. Many sections are ba...

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Bibliographic Details
Main Authors: Francq, Christian (Author), Zakoian, Jean-Michel (Author)
Format: eBook
Language:English
French
Published: Chichester, West Sussex, U.K. : John Wiley and Sons, 2010.
Subjects:
Finance > Mathematical models.
Investments > Mathematical models.
BUSINESS & ECONOMICS > Finance.
Finance > Mathematical models
Investments > Mathematical models
Online Access:Click for online access
Uniform Title:Modèles GARCH.
Table of Contents:
  • GARCH Models; Contents; Preface; Notation; 1 Classical Time Series Models and Financial Series; 1.1 Stationary Processes; 1.2 ARMA and ARIMA Models; 1.3 Financial Series; 1.4 Random Variance Models; 1.5 Bibliographical Notes; 1.6 Exercises; Part I Univariate GARCH Models; 2 GARCH(p, q) Processes; 3 Mixing*; 4 Temporal Aggregation and Weak GARCH Models; Part II Statistical Inference; 5 Identification; 6 Estimating ARCH Models by Least Squares; 7 Estimating GARCH Models by Quasi-Maximum Likelihood; 8 Tests Based on the Likelihood; 9 Optimal Inference and Alternatives to the QMLE*
  • Part III Extensions and Applications10 Asymmetries; 11 Multivariate GARCH Processes; 12 Financial Applications; Part IV Appendices; A Ergodicity, Martingales, Mixing; B Autocorrelation and Partial Autocorrelation; C Solutions to the Exercises; D Problems; References; Index.

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