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Chaos and Nonlinear Forecastability in Economics and Finance
Philosophical Transactions: Physical Sciences and Engineering
Vol. 348, No. 1688, Chaos and Forecasting (Sep. 15, 1994), pp. 397-404
Published by: Royal Society
Stable URL: http://www.jstor.org/stable/54216
Page Count: 8
You can always find the topics here!Topics: Time series forecasting, Chaos theory, Macroeconomics, Economic fluctuations, Forecasting models, Time series, Financial markets, Forecasting techniques, Economic models, Macroeconomic modeling
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Both academic and applied researchers studying financial markets and other economic series have become interested in the topic of chaotic dynamics. The possibility of chaos in financial markets opens important questions for both economic theorists as well as financial market participants. This paper will clarify the empirical evidence for chaos in financial markets and macroeconomic series emphasizing what exactly is known about these time series in terms of forecastability and chaos. We also compare these two concepts from a financial market perspective contrasting the objectives of the practitioner with those of the economic researchers. Finally, we will speculate on the impact of chaos and nonlinear modelling on future economic research.
Philosophical Transactions: Physical Sciences and Engineering © 1994 Royal Society