ISBN: 9781107034723 - dynamic models for volatility and heavy tails: with applications to financial and economic time series (17 risultati)

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: New. The book presents a statistical theory for a class of nonlinear time-series models. It will be of interest to econometricians and statisticians. Series: Econometric Society Monographs. Num Pages: 282 pages, 43 b/w illus. 14 tables. BIC Classification: KCH; PBT. Category: (U) Tertiary Education (US: College). Dimension: 228 x 152 x 19. Weight in Grams: 590. . 2013. Illustrated. hardcover. . . . . …

Condizione: New. In English.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. pp. 282.

Condizione: New. The book presents a statistical theory for a class of nonlinear time-series models. It will be of interest to econometricians and statisticians. Series: Econometric Society Monographs. Num Pages: 282 pages, 43 b/w illus. 14 tables. BIC Classification: KCH; PBT. Category: (U) Tertiary Education (US: College). Dimension: 228 x 152 x 19. Weight in Grams: 590. . 2013. Illustrated. hardcover. . . . . Books ship from the US and Ireland. …

Hardcover. Condizione: Brand New. 397 pages. 9.10x6.20x0.90 inches. In Stock.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The volatility of financial returns changes over time and, for the last thirty years, Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models have provided the principal means of analyzing, modeling and monitoring such changes. Taking into account that financial returns typically exhibit heavy tails - that is, extreme values can occur from time to time - Andrew Harvey's new book shows how a small but radical change in the way GARCH models are formulated leads to a resolution of many of the theoretical problems inherent in the statistical theory. The approach can also be applied to other aspects of volatility. The more general class of Dynamic Conditional Score models extends to robust modeling of outliers in the levels of time series and to the treatment of time-varying relationships. The statistical theory draws on basic principles of maximum likelihood estimation and, by doing so, leads to an elegant and unified treatment of nonlinear time-series modeling.…

Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Hardcover. Condizione: new. Hardcover. The volatility of financial returns changes over time and, for the last thirty years, Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models have provided the principal means of analyzing, modeling and monitoring such changes. Taking into account that financial returns typically exhibit heavy tails - that is, extreme values can occur from time to time - Andrew Harvey's new book shows how a small but radical change in the way GARCH models are formulated leads to a resolution of many of the theoretical problems inherent in the statistical theory. The approach can also be applied to other aspects of volatility. The more general class of Dynamic Conditional Score models extends to robust modeling of outliers in the levels of time series and to the treatment of time-varying relationships. The statistical theory draws on basic principles of maximum likelihood estimation and, by doing so, leads to an elegant and unified treatment of nonlinear time-series modeling. This book presents a statistical theory for a class of nonlinear time-series models. It has particular relevance for the modeling of volatility in financial time series but the overall approach will be of interest to econometricians and statisticians in a variety of disciplines. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book presents a statistical theory for a class of nonlinear time-series models. It has particular relevance for the modeling of volatility in financial time series but the overall approach will be of interest to econometricians and statisticians in a v.…

Condizione: New. Print on Demand pp. 282 43 Illus.

Condizione: New. PRINT ON DEMAND pp. 282.

Buch. Condizione: Neu. Dynamic Models for Volatility and Heavy Tails | With Applications to Financial and Economic Time Series | Andrew C. Harvey (u. a.) | Buch | Gebunden | Englisch | 2014 | Cambridge University Press | EAN 9781107034723 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…