Suchen

Machine Learning for Factor Investing

Python Version
ISBN: 978-0-367-63972-3
GTIN: 9780367639723
Einband: Kartonierter Einband (Kt)
Verfügbarkeit: Lieferbar in ca. 10-20 Arbeitstagen
Unsere Staffelpreise:
Menge
10+
20+
50+
Preis
CHF 99.00
CHF 96.25
CHF 93.50
CHF 110.00
decrease increase

Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by hedge funds and asset managers, notably for alpha signal generation and stocks selection.

Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by hedge funds and asset managers, notably for alpha signal generation and stocks selection.

*
*
*
*
AutorCoqueret, Guillaume / Guida, Tony
VerlagTaylor and Francis
EinbandKartonierter Einband (Kt)
Erscheinungsjahr2023
Seitenangabe340 S.
AusgabekennzeichenEnglisch
AbbildungenFarb., s/w. Abb.
MasseH25.4 cm x B17.8 cm 1'630 g
CoverlagChapman and Hall/CRC (Imprint/Brand)
Auflage1. A.
ReiheChapman and Hall/CRC Financial Mathematics Series
Gewicht1630
ISBN978-0-367-63972-3

Über den Autor Guillaume Coqueret

Guillaume Coqueret is associate professor of finance and data science at EMLYON Business School. His recent research revolves around applications of machine learning tools in financial economics.Tony Guida is co-head of Systematic Macro at RAM Active Investments. He is the editor and co-author of Big Data and Machine Learning in Quantitative Investment.

Weitere Titel von Guillaume Coqueret

Alle Bände der Reihe "Chapman and Hall/CRC Financial Mathematics Series"

Filters
Sort
display