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Synopsis
This is the most up-to-date and accessible guide to one of the fastest growing areas in financial analysis by two of the most accomplished young econometricians in Europe. This classroom-tested advanced undergraduate and graduate textbook provides an in-depth treatment of recently developed nonlinear models, including regime-switching and artificial neural networks, and applies them to describing and forecasting financial asset returns and volatility. It uses a wide range of financial data, drawn from sources including the markets of Tokyo, London and Frankfurt.
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Non-Linear Time Series Models in Empirical Finance
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Cambridge University Press, 2000
ISBN 10: 0521770416
ISBN 13: 9780521770415
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Non-Linear Time Series Models in Empirical Finance
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ISBN 10: 0521770416
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Nonlinear Time Series Models in Empirical Finance
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Nonlinear Time Series Models in Empirical Finance
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Non-Linear Time Series Models in Empirical Finance
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Nonlinear Time Series Models in Empirical Finance
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Non-Linear Time Series Models in Empirical Finance
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Nonlinear Time Series Models in Empirical Finance
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Non-Linear Time Series Models in Empirical Finance
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ISBN 13: 9780521770415
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