Machine Learning for Factor Investing

Python Version

von

Coqueret, GuillaumeGuida, Tony

BuchKartoniert, Paperback

CHF112.00

Beschreibung

Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by hedge funds and asset managers, notably for alpha signal generation and stocks selection.

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Details

ISBN/GTIN978-0-367-63972-3

ProduktartBuch

EinbandKartoniert, Paperback

Verlag

Taylor and Francis

Chapman and Hall/CRC

Erscheinungsdatum08.08.2023

Auflage1. A.

ReiheChapman and Hall/CRC Financial Mathematics Series

Seiten340 Seiten

SpracheEnglisch

MasseBreite 178 mm, Höhe 254 mm

Gewicht1630 g

IllustrationenFarb., s/w. Abb.

Artikel-Nr.29939440

KatalogBuchzentrum

Datenquelle-Nr.43786716

Weitere Details

Reihe

Introduction to Risk Parity and Budgeting

Quantitative Finance with Python

Pricing Models of Volatility Products and Exotic Variance Derivatives

Foundations of Quantitative Finance, Book I: Measure Spaces and Measurable Functions

Optional Processes

Introductory Mathematical Analysis for Quantitative Finance

Stochastic Modelling of Big Data in Finance

Introducing Financial Mathematics

Introduction to Stochastic Finance with Market Examples

Commodities

Foundations of Quantitative Finance, Book I: Measure Spaces and Measurable Functions

Foundations of Quantitative Finance Book II: Probability Spaces and Random Variables

Financial Mathematics

Introduction to Financial Derivatives with Python

Sustainable Life Insurance

Handbook of Price Impact Modeling

Foundations of Quantitative Finance: Book III. The Integrals of Riemann, Lebesgue and (Riemann-)Stieltjes

An Introduction to Financial Mathematics

Introduction to Stochastic Calculus Applied to Finance

Modeling Fixed Income Securities and Interest Rate Options

Monte Carlo Methods and Models in Finance and Insurance