Nonlinear Dynamics and Economics
Proceedings of the Tenth International Symposium in Economic Theory and Econometrics
Herausgeber: Barnett, William A.; Kirman, Alan; Salmon, Mark
Nonlinear Dynamics and Economics
Proceedings of the Tenth International Symposium in Economic Theory and Econometrics
Herausgeber: Barnett, William A.; Kirman, Alan; Salmon, Mark
- Gebundenes Buch
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Produktdetails
- Verlag: Cambridge University Press
- Seitenzahl: 422
- Erscheinungstermin: 17. August 2012
- Englisch
- Abmessung: 235mm x 157mm x 29mm
- Gewicht: 832g
- ISBN-13: 9780521471411
- ISBN-10: 0521471419
- Artikelnr.: 21395234
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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- Books on Demand GmbH
- In de Tarpen 42
- 22848 Norderstedt
- info@bod.de
- 040 53433511
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.
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.
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.