Today s financial markets are characterised by a large number of participants, with different appetites for risk, different time horizons, different motivations and reactions to unexpected news. The mathematical techniques and models used in the forecasting of financial markets have therefore grown ever more sophisticated as traders, analysts and investors seek to gain an edge on their competitors. Written by leading international researchers and practitioners, this book focuses on three major themes of today s state of the art financial research: modelling with high frequency data, the information content of volatility markets, and applications of neural networks and genetic algorithms to financial time series. Forecasting Financial Markets includes empirical applications to present the very latest thinking on these complex techniques, including:
* High frequency exchange rates
* Intraday volatility
* Autocorrelation and variance ratio tests
* Conditional volatility
* GARCH processes
* Chaotic systems
* Nonlinearity
* Stochastic and EXPAR models
* Artificial neural networks
* Genetic algorithms
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Christian Dunis is Executive Vice President, Global Head of Markets Research at Banque Nationale de Paris, France. BNP's Markets Research Group covers foreign exchange and fixed income strategies, quantitative market research and quantitative trading. Its 23-strong research staff is spread between London, Paris and Singapore.
Today? s financial markets are characterised by a large number of participants, with different appetites for risk, different time horizons, different motivations and reactions to unexpected news. The mathematical techniques and models used in the forecasting of financial markets have therefore grown ever more sophisticated as traders, analysts and investors seek to gain an edge on their competitors. Written by leading international researchers and practitioners, this book focuses on three major themes of today? s state of the art financial research: modelling with high frequency data, the information content of volatility markets, and applications of neural networks and genetic algorithms to financial time series. Forecasting Financial Markets includes empirical applications to present the very latest thinking on these complex techniques, including:
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Condizione: New. Today s financial markets are characterised by a large number of participants, with different appetites for risk, different time horizons, different motivations and reactions to unexpected news. Editor(s): Dunis, Christian L. Series: Financial Economics & Quantitative Analysis Series. Num Pages: 324 pages, Ill. BIC Classification: KCJ; KFFM. Category: (P) Professional & Vocational. Dimension: 234 x 162 x 23. Weight in Grams: 622. . 1996. 1st Edition. Paperback. . . . . Codice articolo V9780471966531
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