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GARCH models [[electronic resource] ] : structure, statistical inference, and financial applications / / Christian Francq, Jean-Michel Zakoian



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Autore: Francq Christian Visualizza persona
Titolo: GARCH models [[electronic resource] ] : structure, statistical inference, and financial applications / / Christian Francq, Jean-Michel Zakoian Visualizza cluster
Pubblicazione: Hoboken, NJ, : Wiley, 2010
Edizione: 1st edition
Descrizione fisica: 1 online resource (505 p.)
Disciplina: 332.01/5195
Soggetto topico: Finance - Mathematical models
Investments - Mathematical models
Altri autori: ZakoianJean-Michel  
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: 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
Sommario/riassunto: This book provides a comprehensive and systematic approach to understanding GARCH time series models and their applications whilst presenting the most advanced results concerning the theory and practical aspects of GARCH. The probability structure of standard GARCH models is studied in detail as well as statistical inference such as identification, estimation and tests. The book also provides coverage of several extensions such as asymmetric and multivariate models and looks at financial applications. Key features:Provides up-to-date coverage of the current research in the probabilit
Titolo autorizzato: Garch models  Visualizza cluster
ISBN: 1-119-95739-7
1-282-79451-5
9786612794513
0-470-67005-3
0-470-67004-5
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910785029803321
Lo trovi qui: Univ. Federico II
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