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Machine learning and big data with kdb+/q /

"The book will start with an examination of the foundations of kdb+/q and will proceed to consider the practicalities of dealing with real high-frequency data, and then demonstrate how kdb+/q can be used to solve econometric problems of practical importance. The exploratory journey of the langu...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Novotny, Jan, 1982- (Autor), Bilokon, Paul A., 1982- (Autor), Galiotos, Aris, 1979- (Autor), Délèze, Frédéric, 1975- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Chichester, West Sussex, United Kingdom : John Wiley & Sons, Ltd., 2020.
Colección:Wiley finance
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:"The book will start with an examination of the foundations of kdb+/q and will proceed to consider the practicalities of dealing with real high-frequency data, and then demonstrate how kdb+/q can be used to solve econometric problems of practical importance. The exploratory journey of the language follows the path the high-frequency quants undertake every time they develop a working strategy: from data description and summary statistics to basic regression methods and cointegration, from volatility estimation and modelling to optimal execution, from market impact and microstructure analyses to advanced machine learning techniques including the neural networks"--
Descripción Física:1 online resource (xxiv, 613 pages)
Bibliografía:Includes bibliographical references and index.
ISBN:1119404738
9781119404743
1119404746
9781119404729
111940472X
9781119404736