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In this paper the author analyzes the behavior of exchange rates expectations for four currencies, by considering a re-calculation and an extension of Resende and Zeidan (Expectations and chaotic dynamics: Empirical evidence on exchange rates, Economics Letters, 2008). Considering Lyapunov...
Persistent link: https://www.econbiz.de/10011863440
In this paper the author analyzes the behavior of exchange rates expectations for four currencies, by considering a re-calculation and an extension of Resende and Zeidan (Expectations and chaotic dynamics: empirical evidence on exchange rates, Economics Letters, 2008). Considering Lyapunov...
Persistent link: https://www.econbiz.de/10011821529
There is an increasing awareness of the potential of nonlinear modeling in regional science, which can partly be explained by the recognition of the limitations of conventional equilibrium models in complex situationsand partly by the easy availability and accessibility of sophisticated...
Persistent link: https://www.econbiz.de/10011299990
This article employs six techniques and tools such as chart analysis, chart recurrence, space temporary entropy, Hurst coefficient, Lyapunov exponent and dimension correlation on the copper, gold, oil, silver, zinc, aluminum, nickel, and lead return series to corroborate the existence of a...
Persistent link: https://www.econbiz.de/10013131332
We propose a novel methodology for forecasting chaotic systems which is based on the nearest-neighbor predictor and improves upon it by incorporating local Lyapunov exponents to correct for its inevitable bias. Using simulated data, we show that gains in prediction accuracy can be substantial....
Persistent link: https://www.econbiz.de/10005670880
We propose a novel methodology for forecasting chaotic systems which uses information on local Lyapunov exponents (LLEs) to improve upon existing predictors by correcting for their inevitable bias. Using simulated data on the nearest-neighbor predictor, we show that accuracy gains can be...
Persistent link: https://www.econbiz.de/10005784548
We propose a nouvel methodology for forecasting chaotic systems which uses information on local Lyapunov exponents (LLEs) to improve upon existing predictors by correcting for their inevitable bias. Using simulations of the Rössler, Lorenz and Chua attractors, we find that accuracy gains can be...
Persistent link: https://www.econbiz.de/10008622043
Persistent link: https://www.econbiz.de/10000890317
Persistent link: https://www.econbiz.de/10000896128
Persistent link: https://www.econbiz.de/10000896131