Name: Machine Learning and Data Sciences for Financial Markets: A Guide to Contemporary Practices (en Inglés)
Price: 128790.00 CLP
Availability: InStock
Author: Capponi, Agostino ; Lehalle, Charles-Albert
ISBN: 9781316516195

portada Machine Learning and Data Sciences for Financial Markets: A Guide to Contemporary Practices (en Inglés)

Formato

Libro Físico

Ilustrado por

Charles-Albert Lehalle

Agostino Capponi

Editorial

Cambridge University Press

Autor

Capponi, Agostino ; Lehalle, Charles-Albert

Idioma

Inglés

N° páginas

741

Encuadernación

Tapa Dura

Dimensiones

25.6 x 18.2 x 4.0 cm

Peso

1.59 kg.

ISBN13

9781316516195

N° edición

Categorías

Banca
Matemáticas aplicadas

Machine Learning and Data Sciences for Financial Markets: A Guide to Contemporary Practices (en Inglés)

Charles-Albert Lehalle (Ilustrado por) · Agostino Capponi (Ilustrado por) · Cambridge University Press · Tapa Dura

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Reseña del libro "Machine Learning and Data Sciences for Financial Markets: A Guide to Contemporary Practices (en Inglés)"

Leveraging the research efforts of more than sixty experts in the area, this book reviews cutting-edge practices in machine learning for financial markets. Instead of seeing machine learning as a new field, the authors explore the connection between knowledge developed by quantitative finance over the past forty years and techniques generated by the current revolution driven by data sciences and artificial intelligence. The text is structured around three main areas: 'Interactions with investors and asset owners, ' which covers robo-advisors and price formation; 'Risk intermediation, ' which discusses derivative hedging, portfolio construction, and machine learning for dynamic optimization; and 'Connections with the real economy, ' which explores nowcasting, alternative data, and ethics of algorithms. Accessible to a wide audience, this invaluable resource will allow practitioners to include machine learning driven techniques in their day-to-day quantitative practices, while students will build intuition and come to appreciate the technical tools and motivation for the theo