Time Series Models: In econometrics, finance and other fields

Cox, D.R. (Series edited by)/ Reid, N. (Series edited by)/ Isham, Valerie (Series edited by)/ Tibshirani, R.J. (Series edited by)/ Louis, Thomas A. (Series edited by)/ Tong, Howell (Series edited by)/ Keiding, Niels (Series edited by)/ Cox, D.R. (Edited by)/ Hinkley, D.V. (Edited by)/ Barndorff-Nielsen, O.E. (Edited by)

ISBN 10: 041272930X / ISBN 13: 9780412729300

Published by Chapman & Hall, 1996

About this Item

1st edition. 240 pages. 9.00x5.75x0.50 inches. In Stock. Seller Inventory # x-041272930X

Bibliographic Details

Title: Time Series Models: In econometrics, finance...

Publisher: Chapman & Hall

Publication Date: 1996

Binding: Hardcover

Condition: Brand New

About this title

Synopsis:

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.

About the Author:

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