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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Time Series Models: In Econometrics, Finance and Other Fields

Time Series Models: In Econometrics, Finance and Other Fields

Cox, D. R.
Hinkley, D. V.
Barndorff-Nielsen, O. E.

Hardcover

Series: Chapman & Hall/CRC Monographs on Statistics and Applied Prob, Book 65

EconomicsProbability & Statistics

ISBN10: 041272930X
ISBN13: 9780412729300
Publisher: CRC Press
Published: May 15 1996
Pages: 240
Weight: 0.77
Height: 0.61 Width: 5.34 Depth: 8.92
Language: English
The analysis prediction and interpolation of economic and other time series has a long history and many applications. Major new developments are taking place, driven partly by the need to analyze financial data. The five papers in this book describe those new developments from various viewpoints and are intended to be an introduction accessible to readers from a range of backgrounds. The book arises out of the second Seminaire European de Statistique (SEMSTAT) held in Oxford in December 1994. This brought together young statisticians from across Europe, and a series of introductory lectures were given on topics at the forefront of current research activity. The lectures form the basis for the five papers contained in the book. The papers by Shephard and Johansen deal respectively with time series models for volatility, i.e. variance heterogeneity, and with cointegration. Clements and Hendry analyze the nature of prediction errors. A complementary review paper by Laird gives a biometrical view of the analysis of short time series. Finally Astrup and Nielsen give a mathematical introduction to the study of option pricing. Whilst the book draws its primary motivation from financial series and from multivariate econometric modelling, the applications are potentially much broader.

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