Name: Machine Learning in Finance: Trends, Developments and Business Practices in the Financial Sector
ISBN: 9783031832659

Book information

Authors: Musa Gün verified identity, Burcu Kartal verified identity
First published: 2025
Editions known: 2
Publishers: Springer Nature Switzerland
Languages: eng
ISBN-13: 9783031832659, 9783031832666
Main topics: Financial Machine Learning
Related site topics: Machine Learning for Market Forecasting

Overview

Machine Learning in Finance is a book by Musa Gün and Burcu Kartal, first published in 2025. In this catalogue it is classified mainly under Financial Machine Learning.

Audience and depth. The available metadata did not allow a mathematical difficulty estimate, so none is shown; treat the technical level as unknown.

Orientation. The theory-versus-practice balance could not be determined from metadata. The archive holds 6 papers whose topics and vocabulary overlap with this book; those links are inferred (see the research connections below).

How to read this page. Topics, difficulty, prerequisites and orientation are model-derived (rule-based, rule_based_v1) from bibliographic metadata such as title, subject headings and edition data. They were not produced by reading the book and are not a review. Relevance confidence is 49% and difficulty confidence is 0%; the catalogue lists no ratings or awards.

Research assessment

Rule-based and model-derived from metadata (title, subject headings, edition data). These are not reviews or ratings; see the evidence below.

Quant-finance relevance	56/100 confidence 49% Score 56.2/100. Strongest: quant_relevance 0.85, source_credibility 0.84; weakest: practical_applicability 0.00. Evidence: title:'machine learning in finance'. Difficulty unknown (neutral technical_depth).
Mathematical difficulty	Unknown
Metadata quality	58%

Difficulty evidence (1 signal)

machine_learning matched in title: “machine learning”

Research connections

Related papers on this site

Similarity of research area (shared vocabulary, topics and methods). Not citations: the paper does not necessarily cite this book.

High-Dimensional Learning in Finance Topic similarity inferred similarity 0.61
LOB-Based Deep Learning Models for Stock Price Trend Prediction: A Benchmark Study Topic similarity inferred similarity 0.59
Long-Term Modeling of Financial Machine Learning for Active Portfolio Management Topic similarity inferred similarity 0.59
Stochastic Delay Differential Games: Financial Modeling and Machine Learning Algorithms Topic similarity inferred similarity 0.58
Mathematics of Differential Machine Learning in Derivative Pricing and Hedging Topic similarity inferred similarity 0.58
VolTS: A Volatility-based Trading System to forecast Stock Markets Trend using Statistics and Machine Learning Topic similarity inferred similarity 0.58

Methods covered

Machine Learning (Non-Deep) inferred

Similar books

Machine Learning in Finance inferred similarity 0.70
Machine Learning for Asset Managers inferred similarity 0.67
Machine Learning for Asset Management and Pricing inferred similarity 0.65
Machine Learning for Asset Management inferred similarity 0.64
Implementing Machine Learning for Finance inferred similarity 0.56

Author profiles

Musa Gün verified identity
Burcu Kartal verified identity

External resources

Open Library
DOI
Search on Amazon (ISBN-13 9783031832666) (search link; may be an affiliate link)

Relationship graph

Solid lines are verified facts (authorship from persistent identifiers, editions); dashed lines are inferred by rules or similarity. Open in the full explorer.

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