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BRUGT BOG - Machine Learning for Asset Managers
Af: Marcos M. Lopez de Prado Engelsk Paperback
BRUGT BOG - Machine Learning for Asset Managers
Af: Marcos M. Lopez de Prado Engelsk Paperback

BRUGT BOG

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.
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BRUGT BOG

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.
Produktdetaljer
Sprog: Engelsk
Sider: 152
ISBN-13: 9781108792899
Indbinding: Paperback
Udgave:
ISBN-10: 1108792898
Kategori: Brugte bøger
Udg. Dato: 11 apr 2024
Længde: 13mm
Bredde: 151mm
Højde: 228mm
Oplagsdato: 30 apr 2020
Forfatter(e): Marcos M. Lopez de Prado
Forfatter(e) Marcos M. Lopez de Prado


Kategori Brugte bøger


Sprog Engelsk


Indbinding Paperback


Sider 152


Udgave


Længde 13mm


Bredde 151mm


Højde 228mm


Udg. Dato 11 apr 2024


Oplagsdato 30 apr 2020

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