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Leveraging data science in asset management

"Asset managers of all stripes are ramping up their data science capabilities. Andrew Chin and Celia Chen (AllianceBernstein) offer an overview of data science applications within the asset management industry, covering case studies spanning different functions within an asset management organi...

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Bibliographic Details
Main Authors: Chin, Andrew, Chen, Celia (Author)
Format: eBook
Language:English
Published: [Place of publication not identified] O'Reilly 2019
Subjects:
Finance / Econometric Models / Fast / (ocolc)fst00924377
Investments / Fast / (ocolc)fst00978234
Econometrics / Fast / (ocolc)fst00901574
Machine Learning / Http://id.loc.gov/authorities/subjects/sh85079324
Investments / Http://id.loc.gov/authorities/subjects/sh85067715
Finances / Modèles économétriques
Finance / Econometric Models
Investissements
Économétrie
Apprentissage Automatique
Econometrics / Http://id.loc.gov/authorities/subjects/sh85040763
Investments
Machine Learning / Fast / (ocolc)fst01004795
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary:"Asset managers of all stripes are ramping up their data science capabilities. Andrew Chin and Celia Chen (AllianceBernstein) offer an overview of data science applications within the asset management industry, covering case studies spanning different functions within an asset management organization. Along the way, they look at an investment research project that used a new "big dataset" as well as a machine algorithm to create a more powerful prediction model and detail a machine learning model they developed to understand their clients better."--Resource description page
Item Description:Title from title screen (viewed November 14, 2019). - Recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York
Physical Description:1 streaming video file (42 min., 14 sec.)

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