Nonlinear Dynamics and Economics: Proceedings of the Tenth International Symposium in Economic Theory and Econometrics

by William A. Barnett , Alan P. Kirman , Mark Salmon

• ISBN13: 9780521471411
• ISBN10: 0521471419
• Format: Hardcover
• Copyright: 1996-10-28
• Publisher: Cambridge University Press

Summary

Nonlinear Dynamics and Economics presents some of the recent developments in nonlinear economic dynamics along with related research from associated fields, including mathematics, statistics, biology, and physics. Specific areas covered include instability in economic theory, nonlinearity in financial markets, tests for nonlinearity and chaos, frequency domain methods, nonlinear business cycles, and nonlinear prediction and forecasting. This volume comprises the tenth in the International Symposia in Economic Theory and Econometrics series under the general editorship of William Barnett.

Table of Contents

Part I. Instability in Economic Theory: 1. Chaotic dynamics in overlapping generations models with production Alfredo Medio and Giorgio Negroni

2. 'Evolutionary chaos': growth fluctuations in a Schumpeterian model of creative destruction Gerald Silverberg and Doris Lehnert

Part II. Nonlinearity in Financial Markets: 3. On the detection of nonlinearity in foreign exchange data Mark Salmon and Paolo Guarda

4. Chaos and nonlinear dynamics in future markets Apostolos Serletis and Paul Dormaar

5. Continuous-time chaos in stock market dynamics Kehong Wen

Part III. Tests for Nonlinearity and Chaos: 6. An experimental design to compare tests of nonlinearity and chaos William A. Barnett, A. Ronald Gallant, Melvin J. Hinich, Jochen Jungeilges, Daniel Kaplan, and Mark J. Jensen

7. Testing time series for nonlinearities: the BDS approach W. D. Dechert

8. Searching for non-linearity in mean and variance Ted Jaditz and Chera Sayers

9. Operational characteristics of White's test for neglected nonlinearities J. A. Jungeilges

10. On time series, stochastic and chaotic Thomas J. Taylor

11. Linearity testing and nonlinear modelling of economic time series Timo Terä

svirta

Part IV. Frequency Domain Methods and Nonlinear Business Cycles: 12. On the importance of being nonlinear: a frequency-domain approach to nonlinear model identification and estimation Richard Ashley and Douglas Patterson

13. Trends, shocks, persistent cycles in evolving economy: business cycle measurement in time-frequency representation Ping Chen

14. International evidence of business cycle nonlinearity Philip Rothman

Part V. Nonlinear Prediction and Forecasting: 15. Local Lyapunov exponents: predictability depends on where you are Barbara A. Bailey

16. Forecasting realignments: the case of the French franc in the ERM Bruce Mizrach

17. Daily returns in international stock markets: predictability, nonlinearity, and transaction costs Steve Satchell and Allan Timmermann

18. Nonparametric forecasts of gold rates of return Thanasis Stengos.