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Machine Learning in Asset Pricing, Hardcover by Nagel, Stefan, Like New Used,...

Description: Machine Learning in Asset Pricing, Hardcover by Nagel, Stefan, ISBN 0691218706, ISBN-13 9780691218700, Like New Used, Free P&P in the UK

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.

Price: 37.73 GBP

Location: Castle Donington

End Time: 2025-01-17T03:37:01.000Z

Shipping Cost: 19.51 GBP

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Machine Learning in Asset Pricing, Hardcover by Nagel, Stefan, Like New Used,...

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Book Title: Machine Learning in Asset Pricing

Number of Pages: 160 Pages

Publication Name: Machine Learning in Asset Pricing

Language: English

Publisher: Princeton University Press

Item Height: 235 mm

Subject: Finance, Computer Science

Publication Year: 2021

Type: Textbook

Author: Stefan Nagel

Item Width: 156 mm

Series: Princeton Lectures in Finance

Format: Hardcover

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