Machine Learning in Asset Pricing

Machine Learning in Asset Pricing
Author :
Publisher : Princeton University Press
Total Pages : 156
Release :
ISBN-10 : 9780691218700
ISBN-13 : 0691218706
Rating : 4/5 (00 Downloads)

Book Synopsis Machine Learning in Asset Pricing by : Stefan Nagel

Download or read book Machine Learning in Asset Pricing written by Stefan Nagel and published by Princeton University Press. This book was released on 2021-05-11 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: A groundbreaking, authoritative introduction to how machine learning can be applied to asset pricing Investors in financial markets are faced with an abundance of potentially value-relevant information from a wide variety of different sources. In such data-rich, high-dimensional environments, techniques from the rapidly advancing field of machine learning (ML) are well-suited for solving prediction problems. Accordingly, ML methods are quickly becoming part of the toolkit in asset pricing research and quantitative investing. In this book, Stefan Nagel examines the promises and challenges of ML applications in asset pricing. Asset pricing problems are substantially different from the settings for which ML tools were developed originally. To realize the potential of ML methods, they must be adapted for the specific conditions in asset pricing applications. Economic considerations, such as portfolio optimization, absence of near arbitrage, and investor learning can guide the selection and modification of ML tools. Beginning with a brief survey of basic supervised ML methods, Nagel then discusses the application of these techniques in empirical research in asset pricing and shows how they promise to advance the theoretical modeling of financial markets. Machine Learning in Asset Pricing presents the exciting possibilities of using cutting-edge methods in research on financial asset valuation.


Machine Learning in Asset Pricing Related Books

Machine Learning in Asset Pricing
Language: en
Pages: 156
Authors: Stefan Nagel
Categories: Business & Economics
Type: BOOK - Published: 2021-05-11 - Publisher: Princeton University Press

DOWNLOAD EBOOK

A groundbreaking, authoritative introduction to how machine learning can be applied to asset pricing Investors in financial markets are faced with an abundance
Empirical Asset Pricing
Language: en
Pages: 497
Authors: Wayne Ferson
Categories: Business & Economics
Type: BOOK - Published: 2019-03-12 - Publisher: MIT Press

DOWNLOAD EBOOK

An introduction to the theory and methods of empirical asset pricing, integrating classical foundations with recent developments. This book offers a comprehensi
Machine Learning for Asset Management and Pricing
Language: en
Pages: 267
Authors: Henry Schellhorn
Categories: Computers
Type: BOOK - Published: 2024-03-26 - Publisher: SIAM

DOWNLOAD EBOOK

This textbook covers the latest advances in machine learning methods for asset management and asset pricing. Recent research in deep learning applied to finance
Machine Learning for Asset Managers
Language: en
Pages: 152
Authors: Marcos M. López de Prado
Categories: Business & Economics
Type: BOOK - Published: 2020-04-22 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Successful investment strategies are specific implementations of general theories. An investment strategy that lacks a theoretical justification is likely to be
Artificial Intelligence in Asset Management
Language: en
Pages: 95
Authors: Söhnke M. Bartram
Categories: Business & Economics
Type: BOOK - Published: 2020-08-28 - Publisher: CFA Institute Research Foundation

DOWNLOAD EBOOK

Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, tra