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Nonlinear Time Series Analysis of Economic and Financial Data Book

Nonlinear Time Series Analysis of Economic and Financial Data
Nonlinear Time Series Analysis of Economic and Financial Data, , Nonlinear Time Series Analysis of Economic and Financial Data has a rating of 3 stars
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  • Nonlinear Time Series Analysis of Economic and Financial Data
  • Written by author Philip Rothman
  • Published by Springer-Verlag New York, LLC, January 1999
  • 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
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Introduction
1Business Cycle Turning Points: Two Empirical Business Cycle Model Approaches1
2A Markov Switching Cookbook33
3A Reanalysis of the Spectral Properties of Some Economic and Financial Time Series45
4Nonlinear Econometric Modelling: A Selective Review87
5Unit-Root Tests and Excess Returns111
6On the Inherent Nonlinearity of Frequency Dependent Time Series Relationships129
7Stationarity Tests with Multiple Endogenized Breaks143
8Nonlinear Evolution in UK Stock Returns and Volume165
9Nonlinear Adjustment towards Long-Run Money Demand179
10Asymmetric Nonlinear Smooth Transition Garch Models191
11Testing the Present Value Hypothesis from a Vector Autoregression with Stochastic Regime Switching209
12Business Cycle Dynamics: Predicting Transitions with Macrovariables231
13Searching for the Sources of Arch Behavior: Testing the Mixture of Distributions Model267
14Improved Testing and Specification of Smooth Transition Regression Models289
15Speculative Behavior, Regime-Switching, and Stock Market Crashes321
16Higher-Order Residual Analysis for Simple Bilinear and Threshold Autoregressive Models with the TR Test357
Index369


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