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Financial Machine Learning
Taschenbuch von Bryan Kelly (u. a.)
Sprache: Englisch

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Beschreibung
Financial Machine Learning surveys the nascent literature on machine learning in the study of financial markets. The authors highlight the best examples of what this line of research has to offer and recommend promising directions for future research. This survey is designed for both financial economists interested in grasping machine learning tools, as well as for statisticians and machine learners seeking interesting financial contexts where advanced methods may be deployed.

This survey is organized as follows. Section 2 analyzes the theoretical benefits of highly parameterized machine learning models in financial economics. Section 3 surveys the variety of machine learning methods employed in the empirical analysis of asset return predictability. Section 4 focuses on machine learning analyses of factor pricing models and the resulting empirical conclusions for risk-return tradeoffs. Section 5 presents the role of machine learning in identifying optimal portfolios and stochastic discount factors. Section 6 offers brief conclusions and directions for future work.
Financial Machine Learning surveys the nascent literature on machine learning in the study of financial markets. The authors highlight the best examples of what this line of research has to offer and recommend promising directions for future research. This survey is designed for both financial economists interested in grasping machine learning tools, as well as for statisticians and machine learners seeking interesting financial contexts where advanced methods may be deployed.

This survey is organized as follows. Section 2 analyzes the theoretical benefits of highly parameterized machine learning models in financial economics. Section 3 surveys the variety of machine learning methods employed in the empirical analysis of asset return predictability. Section 4 focuses on machine learning analyses of factor pricing models and the resulting empirical conclusions for risk-return tradeoffs. Section 5 presents the role of machine learning in identifying optimal portfolios and stochastic discount factors. Section 6 offers brief conclusions and directions for future work.
Details
Erscheinungsjahr: 2023
Fachbereich: Allgemeines
Genre: Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
Seiten: 172
ISBN-13: 9781638282907
ISBN-10: 1638282900
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Kelly, Bryan
Xiu, Dacheng
Hersteller: Now Publishers Inc
Maße: 234 x 156 x 10 mm
Von/Mit: Bryan Kelly (u. a.)
Erscheinungsdatum: 08.11.2023
Gewicht: 0,272 kg
preigu-id: 127954404
Details
Erscheinungsjahr: 2023
Fachbereich: Allgemeines
Genre: Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
Seiten: 172
ISBN-13: 9781638282907
ISBN-10: 1638282900
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Kelly, Bryan
Xiu, Dacheng
Hersteller: Now Publishers Inc
Maße: 234 x 156 x 10 mm
Von/Mit: Bryan Kelly (u. a.)
Erscheinungsdatum: 08.11.2023
Gewicht: 0,272 kg
preigu-id: 127954404
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