Name: Neural Networks in Finance
ISBN: 9780124859678

Book information

Authors: Paul D. McNelis verified identity
First published: 2004
Editions known: 4
Publishers: Elsevier
Languages: eng
ISBN-13: 9780124859678
Main topics: Deep Learning for Finance
Related site topics: Machine Learning for Market Forecasting, NLP & LLMs in Finance

Overview

Neural Networks in Finance is a book by Paul D. McNelis, first published in 2004. In this catalogue it is classified mainly under Deep Learning for Finance.

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 42% 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	42/100 confidence 42% Score 42.2/100. Strongest: quant_relevance 0.33, metadata_completeness 0.85; weakest: practical_applicability 0.10. Evidence: title:'finance'. Difficulty unknown (neutral technical_depth).
Mathematical difficulty	Unknown
Metadata quality	61%

Difficulty evidence (2 signals)

machine_learning matched in subjects: “neural networks”
machine_learning matched in title: “neural networks”

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.

Decision-informed Neural Networks with Large Language Model Integration for Portfolio Optimization Topic similarity inferred similarity 0.60
ChatGPT Informed Graph Neural Network for Stock Movement Prediction Topic similarity inferred similarity 0.58
Technical Indicator Networks (TINs): An Interpretable Neural Architecture Modernizing Classic al Technical Analysis for Adaptive Algorithmic Trading Topic similarity inferred similarity 0.58
Parameterized Neural Networks for Finance Topic similarity inferred similarity 0.53
Fourier Neural Network Approximation of Transition Densities in Finance Topic similarity inferred similarity 0.50
Neural Network for valuing Bitcoin options under jump-diffusion and market sentiment model Topic similarity inferred similarity 0.46

Methods covered

Deep Learning inferred

Similar books

Neural networks and the financial markets inferred similarity 0.76
Neural Networks in Finance and Investing inferred similarity 0.71
Neural networks for financial forecasting inferred similarity 0.62
Wavelet neural networks inferred similarity 0.57
Neural networks in financial engineering inferred similarity 0.57

Author profiles

Paul D. McNelis verified identity

External resources

Open Library
DOI
Search on Amazon (ISBN-13 9780124859678) (search link; may be an affiliate link)

Relationship graph

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