9780792374244 - Econometric Modelling of Stock Market Intraday Activity: 38 (Advanced Studies in Theoretical and Applied Econometrics, 38) de Bauwens, Luc; Giot, Pierre (19 resultados)

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Condición: New. Focuses on the econometric modelling of intraday tick-by-tick transaction data (trades and quote) for stock traded on the New York Stock Exchange (NYSE). This title presents quantitative modelling tools such as intraday duration models and GARCH modes. It also includes a survey of trading mechanisms in financial markets. Series: Advanced Studies in Theoretical and Applied Econometrics. Num Pages: 195 pages, biography. BIC Classification: KCH; KFFM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 242 x 165 x 18. Weight in Grams: 462. . 2001. Hardback. . . . .

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Condición: New. Focuses on the econometric modelling of intraday tick-by-tick transaction data (trades and quote) for stock traded on the New York Stock Exchange (NYSE). This title presents quantitative modelling tools such as intraday duration models and GARCH modes. It also includes a survey of trading mechanisms in financial markets. Series: Advanced Studies in Theoretical and Applied Econometrics. Num Pages: 195 pages, biography. BIC Classification: KCH; KFFM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 242 x 165 x 18. Weight in Grams: 462. . 2001. Hardback. . . . . Books ship from the US and Ireland.

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Over the past 25 years, applied econometrics has undergone tremen dous changes, with active developments in fields of research such as time series, labor econometrics, financial econometrics and simulation based methods. Time series analysis has been an active field of research since the seminal work by Box and Jenkins (1976), who introduced a gen eral framework in which time series can be analyzed. In the world of financial econometrics and the application of time series techniques, the ARCH model of Engle (1982) has shifted the focus from the modelling of the process in itself to the modelling of the volatility of the process. In less than 15 years, it has become one of the most successful fields of 1 applied econometric research with hundreds of published papers. As an alternative to the ARCH modelling of the volatility, Taylor (1986) intro duced the stochastic volatility model, whose features are quite similar to the ARCH specification but which involves an unobserved or latent component for the volatility. While being more difficult to estimate than usual GARCH models, stochastic volatility models have found numerous applications in the modelling of volatility and more particularly in the econometric part of option pricing formulas. Although modelling volatil ity is one of the best known examples of applied financial econometrics, other topics (factor models, present value relationships, term structure 2 models) were also successfully tackled.

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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Over the past 25 years, applied econometrics has undergone tremen dous changes, with active developments in fields of research such as time series, labor econometrics, financial econometrics and simulation based methods. Time series analysis has been an active field of research since the seminal work by Box and Jenkins (1976), who introduced a gen eral framework in which time series can be analyzed. In the world of financial econometrics and the application of time series techniques, the ARCH model of Engle (1982) has shifted the focus from the modelling of the process in itself to the modelling of the volatility of the process. In less than 15 years, it has become one of the most successful fields of 1 applied econometric research with hundreds of published papers. As an alternative to the ARCH modelling of the volatility, Taylor (1986) intro duced the stochastic volatility model, whose features are quite similar to the ARCH specification but which involves an unobserved or latent component for the volatility. While being more difficult to estimate than usual GARCH models, stochastic volatility models have found numerous applications in the modelling of volatility and more particularly in the econometric part of option pricing formulas. Although modelling volatil ity is one of the best known examples of applied financial econometrics, other topics (factor models, present value relationships, term structure 2 models) were also successfully tackled. 200 pp. Englisch.

Condición: New. PRINT ON DEMAND pp. 200.

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Buch. Condición: Neu. Econometric Modelling of Stock Market Intraday Activity | Luc Bauwens (u. a.) | Buch | xv | Englisch | 2001 | Springer | EAN 9780792374244 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Over the past 25 years, applied econometrics has undergone tremen dous changes, with active developments in fields of research such as time series, labor econometrics, financial econometrics and simulation based methods. Time series analysis has been an active field of research since the seminal work by Box and Jenkins (1976), who introduced a gen eral framework in which time series can be analyzed. In the world of financial econometrics and the application of time series techniques, the ARCH model of Engle (1982) has shifted the focus from the modelling of the process in itself to the modelling of the volatility of the process. In less than 15 years, it has become one of the most successful fields of 1 applied econometric research with hundreds of published papers. As an alternative to the ARCH modelling of the volatility, Taylor (1986) intro duced the stochastic volatility model, whose features are quite similar to the ARCH specification but which involves an unobserved or latent component for the volatility. While being more difficult to estimate than usual GARCH models, stochastic volatility models have found numerous applications in the modelling of volatility and more particularly in the econometric part of option pricing formulas. Although modelling volatil ity is one of the best known examples of applied financial econometrics, other topics (factor models, present value relationships, term structure 2 models) were also successfully tackled.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 200 pp. Englisch.