Nonlinear Time Series Analysis of Economic and Financial Data [Paperback]

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.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.Introduction; P. Rothman. 1. Business Cycle Turning Points: Two Empirical Business Cycle Model Approaches; A.J. Filardo, S.F. Gordon. 2. A Markov Switching Cookbook; B. Mizrach, J. Watkins. 3. A Reanalysis of the Spectral Properties of Some Economic and Financial Time Series; J.B. Ramsey, D.J. Thomson. 4. Nonlinear Econometric Modelling: A Selective Review; N.R. Swanson, P.H. Franses. 5. Unit-Root Tests and Excess Returns; M.-J. Godbout, S. van Norden. 6. On the Inherent Nonlinearity of Frequency Dependent Time Series Relationships; Hui Boon Tan, R. Ashley. 7. Stationarity Tests with Multiple lÃ'