Machine Learning for Asset Managers (Elements in Quantitative Finance) - Hardcover

Buch 1�von 7: Elements in Quantitative Finance

L�pez De Prado, Marcos M.

9781009702423: Machine Learning for Asset Managers (Elements in Quantitative Finance)

Hardcover

ISBN 10: 1009702424 ISBN 13: 9781009702423

Verlag: Cambridge University Press, 2026

Alle Exemplare dieser ISBN-Ausgabe

3 Gebraucht

Von EUR 51,18

16 Neu

Von EUR 70,95

This element introduces machine learning (ML) tools that can help asset managers discover economic and financial theories.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag: Cambridge University Press
Erscheinungsdatum: 2026
Sprache: Englisch
ISBN 10: 1009702424
ISBN 13: 9781009702423
Einband: Gebundene Ausgabe
Anzahl der Seiten: 152
Kontakt zum Hersteller: Cambridge University Press
https://www.cambridge.org/

Via Honduras,15
Pomezia
Italia
71
Italien

Suchergebnisse f�r Machine Learning for Asset Managers (Elements in Quantitativ...

Beispielbild f�r diese ISBN

Machine Learning for Asset Managers (Elements in Quantitative Finance)

L� pez de Prado, Marcos M.

Verlag: Cambridge University Press, 2026

ISBN 10: 1009702424 ISBN 13: 9781009702423

Gebraucht Hardcover

Anbieter: Books From California, Simi Valley, CA, USA

Verk�uferbewertung 4 von 5 Sternen

hardcover. Zustand: Fine. Bestandsnummer des Verk�ufers mon0004107254

Verk�ufer kontaktieren

Gebraucht kaufen

EUR 51,18

EUR 4,30 Versand
Versand innerhalb von USA

Anzahl: 2 verf�gbar

In den Warenkorb

Beispielbild f�r diese ISBN

Machine Learning For Asset Managers

Lopez De Prado, Marcos M. (cornell University, New York)

Verlag: Cambridge University Press, 2026

ISBN 10: 1009702424 ISBN 13: 9781009702423

Gebraucht Hardcover

Anbieter: GreatBookPrices, Columbia, MD, USA

Verk�uferbewertung 5 von 5 Sternen

Zustand: As New. Unread book in perfect condition. Bestandsnummer des Verk�ufers 51931700

Verk�ufer kontaktieren

Gebraucht kaufen

EUR 77,97

EUR 2,27 Versand
Versand innerhalb von USA

Anzahl: Mehr als 20 verf�gbar

In den Warenkorb

Beispielbild f�r diese ISBN

Machine Learning For Asset Managers

Lopez De Prado, Marcos M. (Cornell University, New York)

Verlag: Cambridge University Press, 2026

ISBN 10: 1009702424 ISBN 13: 9781009702423

Neu Hardcover

Print-on-Demand

Anbieter: Revaluation Books, Exeter, Vereinigtes K�nigreich

Verk�uferbewertung 5 von 5 Sternen

Hardcover. Zustand: Brand New. In Stock. This item is printed on demand. Bestandsnummer des Verk�ufers __1009702424

Verk�ufer kontaktieren

Neu kaufen

EUR 70,95

EUR 11,46 Versand
Versand von Vereinigtes K�nigreich nach USA

Anzahl: 1 verf�gbar

In den Warenkorb

Foto des Verk�ufers

Machine Learning for Asset Managers

Marcos M. L�pez de Prado

Verlag: Cambridge University Press, GB, 2026

ISBN 10: 1009702424 ISBN 13: 9781009702423

Neu Hardcover

Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes K�nigreich

Verk�uferbewertung 5 von 5 Sternen

Hardback. Zustand: New. Successful investment strategies are specific implementations of general theories. An investment strategy that lacks a theoretical justification is likely to be false. Hence, an asset manager should concentrate her efforts on developing a theory rather than on backtesting potential trading rules. The purpose of this Element is to introduce machine learning (ML) tools that can help asset managers discover economic and financial theories. ML is not a black box, and it does not necessarily overfit. ML tools complement rather than replace the classical statistical methods. Some of ML's strengths include (1) a focus on out-of-sample predictability over variance adjudication; (2) the use of computational methods to avoid relying on (potentially unrealistic) assumptions; (3) the ability to "learn" complex specifications, including nonlinear, hierarchical, and noncontinuous interaction effects in a high-dimensional space; and (4) the ability to disentangle the variable search from the specification search, robust to multicollinearity and other substitution effects. Bestandsnummer des Verk�ufers LU-9781009702423

Verk�ufer kontaktieren

Neu kaufen

EUR 84,87

Versand gratis
Versand von Vereinigtes K�nigreich nach USA

Anzahl: 1 verf�gbar

In den Warenkorb

Beispielbild f�r diese ISBN

Machine Learning For Asset Managers

Lopez De Prado, Marcos M. (cornell University, New York)

Verlag: Cambridge University Press, 2026

ISBN 10: 1009702424 ISBN 13: 9781009702423

Neu Hardcover

Anbieter: GreatBookPrices, Columbia, MD, USA

Verk�uferbewertung 5 von 5 Sternen

Zustand: New. Bestandsnummer des Verk�ufers 51931700-n

Verk�ufer kontaktieren

Neu kaufen

EUR 82,62

EUR 2,27 Versand
Versand innerhalb von USA

Anzahl: Mehr als 20 verf�gbar

In den Warenkorb

Beispielbild f�r diese ISBN

Machine Learning for Asset Managers (Hardcover)

Marcos M. Lopez de Prado

Verlag: Cambridge University Press, Cambridge, 2026

ISBN 10: 1009702424 ISBN 13: 9781009702423

Neu Hardcover

Print-on-Demand

Anbieter: Grand Eagle Retail, Bensenville, IL, USA

Verk�uferbewertung 5 von 5 Sternen

Hardcover. Zustand: new. Hardcover. Successful investment strategies are specific implementations of general theories. An investment strategy that lacks a theoretical justification is likely to be false. Hence, an asset manager should concentrate her efforts on developing a theory rather than on backtesting potential trading rules. The purpose of this Element is to introduce machine learning (ML) tools that can help asset managers discover economic and financial theories. ML is not a black box, and it does not necessarily overfit. ML tools complement rather than replace the classical statistical methods. Some of ML's strengths include (1) a focus on out-of-sample predictability over variance adjudication; (2) the use of computational methods to avoid relying on (potentially unrealistic) assumptions; (3) the ability to learn complex specifications, including nonlinear, hierarchical, and noncontinuous interaction effects in a high-dimensional space; and (4) the ability to disentangle the variable search from the specification search, robust to multicollinearity and other substitution effects. The purpose of this Element is to introduce machine learning (ML) tools that can help asset managers discover economic and financial theories. ML is not a black box, and it does not necessarily overfit. ML tools complement rather than replace the classical statistical methods. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verk�ufers 9781009702423

Verk�ufer kontaktieren