Isbn: 9781119313571 - garch models: structure, statistical inference and financial applications (19 resultados)

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Hardback. Condición: New. Provides a comprehensive and updated study of GARCH models and their applications in finance, covering new developments in the discipline  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 new coverage of several extensions such as multivariate models, looks at financial applications, and explores the very validation of the models used. GARCH Models: Structure, Statistical Inference and Financial Applications, 2nd Edition features a new chapter on Parameter-Driven Volatility Models, which covers Stochastic Volatility Models and Markov Switching Volatility Models. A second new chapter titled Alternative Models for the Conditional Variance contains a section on Stochastic Recurrence Equations and additional material on EGARCH, Log-GARCH, GAS, MIDAS, and intraday volatility models, among others. The book is also updated with a more complete discussion of multivariate GARCH; a new section on Cholesky GARCH; a larger emphasis on the inference of multivariate GARCH models; a new set of corrected problems available online; and an up-to-date list of references. Features up-to-date coverage of the current research in the probability, statistics, and econometric theory of GARCH modelsCovers significant developments in the field, especially in multivariate modelsContains completely renewed chapters with new topics and resultsHandles both theoretical and applied aspectsApplies to researchers in different fields (time series, econometrics, finance)Includes numerous illustrations and applications to real financial seriesPresents a large collection of exercises with correctionsSupplemented by a supporting website featuring R codes, Fortran programs, data sets and Problems with corrections GARCH Models, 2nd Edition is an authoritative, state-of-the-art reference that is ideal for graduate students, researchers, and practitioners in business and finance seeking to broaden their skills of understanding of econometric time series models.…

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Condición: New. 2019. 2nd Edition. Hardcover. . . . . .

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Condición: New. CHRISTIAN FRANCQ, PHD, is Professor of Econometrics and Finance at CREST (Center for Research in Economics and Statistics) and ENSAE (National School of Statistics and Economic Administration).JEAN-MICHEL ZAKOIAN, PHD, is Professor of Econometrics and Finan.

Condición: New. 2019. 2nd Edition. Hardcover. . . . . . Books ship from the US and Ireland.

Buch. Condición: Neu. Neuware - Provides a comprehensive and updated study of GARCH models and their applications in finance, covering new developments in the disciplineThis 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 new coverage of several extensions such as multivariate models, looks at financial applications, and explores the very validation of the models used.GARCH Models: Structure, Statistical Inference and Financial Applications, 2nd Edition features a new chapter on Parameter-Driven Volatility Models, which covers Stochastic Volatility Models and Markov Switching Volatility Models. A second new chapter titled Alternative Models for the Conditional Variance contains a section on Stochastic Recurrence Equations and additional material on EGARCH, Log-GARCH, GAS, MIDAS, and intraday volatility models, among others. The book is also updated with a more complete discussion of multivariate GARCH; a new section on Cholesky GARCH; a larger emphasis on the inference of multivariate GARCH models; a new set of corrected problems available online; and an up-to-date list of references.\* Features up-to-date coverage of the current research in the probability, statistics, and econometric theory of GARCH models\* Covers significant developments in the field, especially in multivariate models\* Contains completely renewed chapters with new topics and results\* Handles both theoretical and applied aspects\* Applies to researchers in different fields (time series, econometrics, finance)\* Includes numerous illustrations and applications to real financial series\* Presents a large collection of exercises with corrections\* Supplemented by a supporting website featuring R codes, Fortran programs, data sets and Problems with correctionsGARCH Models, 2nd Edition is an authoritative, state-of-the-art reference that is ideal for graduate students, researchers, and practitioners in business and finance seeking to broaden their skills of understanding of econometric time series models.…

Hardback. Condición: New. Provides a comprehensive and updated study of GARCH models and their applications in finance, covering new developments in the discipline  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 new coverage of several extensions such as multivariate models, looks at financial applications, and explores the very validation of the models used. GARCH Models: Structure, Statistical Inference and Financial Applications, 2nd Edition features a new chapter on Parameter-Driven Volatility Models, which covers Stochastic Volatility Models and Markov Switching Volatility Models. A second new chapter titled Alternative Models for the Conditional Variance contains a section on Stochastic Recurrence Equations and additional material on EGARCH, Log-GARCH, GAS, MIDAS, and intraday volatility models, among others. The book is also updated with a more complete discussion of multivariate GARCH; a new section on Cholesky GARCH; a larger emphasis on the inference of multivariate GARCH models; a new set of corrected problems available online; and an up-to-date list of references. Features up-to-date coverage of the current research in the probability, statistics, and econometric theory of GARCH modelsCovers significant developments in the field, especially in multivariate modelsContains completely renewed chapters with new topics and resultsHandles both theoretical and applied aspectsApplies to researchers in different fields (time series, econometrics, finance)Includes numerous illustrations and applications to real financial seriesPresents a large collection of exercises with correctionsSupplemented by a supporting website featuring R codes, Fortran programs, data sets and Problems with corrections GARCH Models, 2nd Edition is an authoritative, state-of-the-art reference that is ideal for graduate students, researchers, and practitioners in business and finance seeking to broaden their skills of understanding of econometric time series models.…

Hardcover. Condición: Brand New. 2nd edition. 487 pages. 9.75x7.00x1.25 inches. In Stock. This item is printed on demand.

Hardcover. Condición: new. Hardcover. Provides a comprehensive and updated study of GARCH models and their applications in finance, covering new developments in the discipline 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 new coverage of several extensions such as multivariate models, looks at financial applications, and explores the very validation of the models used. GARCH Models: Structure, Statistical Inference and Financial Applications, 2nd Edition features a new chapter on Parameter-Driven Volatility Models, which covers Stochastic Volatility Models and Markov Switching Volatility Models. A second new chapter titled Alternative Models for the Conditional Variance contains a section on Stochastic Recurrence Equations and additional material on EGARCH, Log-GARCH, GAS, MIDAS, and intraday volatility models, among others. The book is also updated with a more complete discussion of multivariate GARCH; a new section on Cholesky GARCH; a larger emphasis on the inference of multivariate GARCH models; a new set of corrected problems available online; and an up-to-date list of references. Features up-to-date coverage of the current research in the probability, statistics, and econometric theory of GARCH modelsCovers significant developments in the field, especially in multivariate modelsContains completely renewed chapters with new topics and resultsHandles both theoretical and applied aspectsApplies to researchers in different fields (time series, econometrics, finance)Includes numerous illustrations and applications to real financial seriesPresents a large collection of exercises with correctionsSupplemented by a supporting website featuring R codes, Fortran programs, data sets and Problems with corrections GARCH Models, 2nd Edition is an authoritative, state-of-the-art reference that is ideal for graduate students, researchers, and practitioners in business and finance seeking to broaden their skills of understanding of econometric time series models. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

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