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Non-Linear Time Series Models in Empirical Finance

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  • 296pagine
  • 11 ore di lettura

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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, Philip Hans Franses, Dick van Dijk

Lingua
Pubblicato
2000
Rilegatura
(Rilegatura flessibile)
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Titolo
Non-Linear Time Series Models in Empirical Finance
Lingua
Inglese
Pubblicato
2000
Formato
Rilegatura flessibile
Pagine
296
ISBN10
0521779650
ISBN13
9780521779654
Serie
Valutazione
3,65 su 5
Descrizione
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.