{"product_id":"garch-models","title":"GARCH Models","description":"\u003cp\u003e\u003cb\u003eProvides a comprehensive and updated study of GARCH models and their applications in finance, covering new developments in the discipline\u003c\/b\u003e \u003c\/p\u003e \u003cp\u003eThis 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.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eGARCH Models: Structure, Statistical Inference and Financial Applications, 2nd Edition\u003c\/i\u003e 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.\u003c\/p\u003e \u003cul\u003e\n\u003cli\u003eFeatures up-to-date coverage of the current research in the probability, statistics, and econometric theory of GARCH models\u003c\/li\u003e\n\u003cli\u003eCovers significant developments in the field, especially in multivariate models\u003c\/li\u003e\n\u003cli\u003eContains completely renewed chapters with new topics and results\u003c\/li\u003e\n\u003cli\u003eHandles both theoretical and applied aspects\u003c\/li\u003e\n\u003cli\u003eApplies to researchers in different fields (time series, econometrics, finance)\u003c\/li\u003e\n\u003cli\u003eIncludes numerous illustrations and applications to real financial series\u003c\/li\u003e\n\u003cli\u003ePresents a large collection of exercises with corrections\u003c\/li\u003e\n\u003cli\u003eSupplemented by a supporting website featuring R codes, Fortran programs, data sets and Problems with corrections\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eGARCH Models, 2\u003csup\u003end\u003c\/sup\u003e Edition \u003c\/i\u003eis 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.\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Product","offer_id":54222357528920,"sku":"9781119313571","price":107.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9781119313571__6772e18fe3e80.jpg?v=1741160194","url":"https:\/\/agendabookshop.com\/products\/garch-models","provider":"Agenda Bookshop","version":"1.0","type":"link"}