Machine Learning for Asset Managers free ebook download.

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Machine Learning for Asset Managers free ebook download

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Economy

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Catalogue

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

Date:	2020	Format:	PDF	Language:	English	ISBN/ASIN:	1108792898
Pages:	1	OCR:		Quality:		ISBN13:
Uploader:	topron	Upload Date:	6/2/2020 1:50:07 PM

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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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	Title	Link	Password	Size (MB)	Thank to	Inform Admin
2793135	Book	https://tezfiles.com/file/ac9ae5b0dc7c5...		4.35	topron

Tags: Asset Learning Machine Managers

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