---
title: "Stefan Nagel Machine Learning in Asset Pricing"
ean: "9780691218700"
brand: "Stefan Nagel"
category: "Medier > Bøger > Trykte bøger"
price_min: 374
price_max: 374
currency: DKK
vendor_count: 1
in_stock: true
url: https://pricetracker.dk/p/9780691218700/machine-learning-in-asset-pricing
last_checked: 2026-10-14
---

# Stefan Nagel Machine Learning in Asset Pricing

EAN 9780691218700 · Mærke: Stefan Nagel · Kategori: Medier > Bøger > Trykte bøger

Sammenlign priser på Stefan Nagel Machine Learning in Asset Pricing fra 1 forhandler. Billigste pris nu: 374 kr hos Saxo DK. Se aktuelle priser og køb hos den billigste forhandler på https://pricetracker.dk/p/9780691218700/machine-learning-in-asset-pricing

## Priser
- **Billigste pris nu:** 374 kr hos Saxo DK
- **Prisspænd:** 374 kr – 374 kr på tværs af 1 forhandler

## Forhandlere
| Forhandler | Pris | Levering |
|---|---|---|
| Saxo DK | 374 kr | — |

## Om produktet
Beskrivelse fra forhandleren Saxo DK:

> 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.

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Priserne er sidst kontrolleret 2026-10-14.