
Nonlinear Time Series Analysis of Economic and Financial Data
Philip Rothman(Editor)
Kluwer Academic Publishers
Published on 31. January 1999
Book
Hardback
XVI, 373 pages
978-0-7923-8379-6 (ISBN)
Description
Nonlinear Time Series Analysis of Economic and Financial Data
provides an examination of the flourishing interest that has developed in this area over the past decade. The constant theme throughout this work is that standard linear time series tools leave unexamined and unexploited economically significant features in frequently used data sets. The book comprises original contributions written by specialists in the field, and offers a combination of both applied and methodological papers. It will be useful to both seasoned veterans of nonlinear time series analysis and those searching for an informative panoramic look at front-line developments in the area.
More details
Series
Edition
1999
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Illustrations
XVI, 373 p.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 27 mm
Weight
755 gr
ISBN-13
978-0-7923-8379-6 (9780792383796)
DOI
10.1007/978-1-4615-5129-4
Schweitzer Classification
Other editions
Additional editions

E-Book
12/2012
Springer
€309.23
Available for download

Book
11/2012
Springer
€320.99
Shipment within 7-9 days
Content
1 Business Cycle Turning Points: Two Empirical Business Cycle Model Approaches.- 2 A Markov Switching Cookbook.- 3 A Reanalysis Of The Spectral Properties Of Some Economic And Financial Time Series.- 4 Nonlinear Econometric Modelling: A Selective Review.- 5 Unit-Root Tests And Excess Returns.- 6 On The Inherent Nonlinearity Of Frequency Dependent Time Series Relationships.- 7 Stationarity Tests With Multiple Endogenized Breaks.- 8 Nonlinear Evolution In Uk Stock Returns And Volume.- 9 Nonlinear Adjustment Towards Long-Run Money Demand.- 10 Asymmetric Nonlinear Smooth Transition Garch Models.- 11 Testing The Present Value Hypothesis From A Vector Autoregression With Stochastic Regime Switching.- 12 Business Cycle Dynamics: Predicting Transitions With Macrovariables.- 13 Searching For The Sources Of Arch Behavior: Testing The Mixture Of Distributions Model.- 14 Improved Testing And Specification Of Smooth Transition Regression Models.- 15 Speculative Behavior, Regime-Switching, And Stock Market Crashes.- 16 Higher-Order Residual Analysis For Simple Bilinear And Threshold Autoregressive Models With The Tr Test.