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 Teräsvirta; 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.
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 Teräsvirta; 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.
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