Combinatorial Mathematics & Discrete Finance (Paperback)

Reactive Publishing

ISBN 13: 9798312683592

Published by Independently Published, 2025

About this Item

Paperback. Reactive PublishingMaster Combinatorial Mathematics & Discrete Finance for Smarter Financial DecisionsFinancial markets rely on discrete structures, combinatorial optimization, and advanced mathematical techniques to model risk, optimize portfolios, and enhance algorithmic trading strategies. Combinatorial mathematics and discrete finance provide a powerful framework for tackling high-dimensional financial problems, from portfolio selection and derivatives pricing to market simulations and risk modeling.This comprehensive guide explores the intersection of discrete mathematics and finance, equipping analysts with real-world techniques and Python implementations to solve complex financial problems.What You'll Learn: Graph Theory in Finance - Network models for market structure, systemic risk, and capital flow analysisCombinatorial Portfolio Optimization - Integer programming, dynamic programming, and heuristics for asset allocationGame Theory & Decision Trees - Strategic decision-making in trading, auctions, and competitive marketsLattice Models & Binomial Trees - Discrete-time pricing models for options and risk-neutral valuationAlgorithmic Trading & Order Book Analysis - Combinatorial order matching and execution strategiesBlockchain & Cryptographic Finance - Elliptic curve cryptography, zero-knowledge proofs, and smart contract securityPython Implementations & Case Studies - Hands-on coding with NetworkX, SciPy, and NumPyWho This Book is For: Traders & Algorithmic Investors - Optimize trade execution with combinatorial methodsRisk Analysts & Portfolio Managers - Apply discrete models for efficient asset allocationQuantitative Researchers & Data Scientists - Integrate combinatorial optimization into financial modelsStudents & Academics in Finance & Mathematics - Build a strong foundation in discrete finance applicationsWith clear explanations, practical case studies, and hands-on Python examples, this book transforms combinatorial and discrete mathematics into powerful tools for financial decision-making.Solve complex financial problems with discrete mathematics-get your copy today! This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Bibliographic Details

• Title: Combinatorial Mathematics & Discrete Finance (Paperback)
• Publisher: Independently Published
• Publication Date: 2025
• Language: English
• ISBN 13: 9798312683592
• Binding: Paperback
• Condition: new

About this title

Synopsis

Reactive Publishing

Master Combinatorial Mathematics & Discrete Finance for Smarter Financial Decisions

Financial markets rely on discrete structures, combinatorial optimization, and advanced mathematical techniques to model risk, optimize portfolios, and enhance algorithmic trading strategies. Combinatorial mathematics and discrete finance provide a powerful framework for tackling high-dimensional financial problems, from portfolio selection and derivatives pricing to market simulations and risk modeling.

This comprehensive guide explores the intersection of discrete mathematics and finance, equipping analysts with real-world techniques and Python implementations to solve complex financial problems.

What You’ll Learn:

Graph Theory in Finance – Network models for market structure, systemic risk, and capital flow analysis
Combinatorial Portfolio Optimization – Integer programming, dynamic programming, and heuristics for asset allocation
Game Theory & Decision Trees – Strategic decision-making in trading, auctions, and competitive markets
Lattice Models & Binomial Trees – Discrete-time pricing models for options and risk-neutral valuation
Algorithmic Trading & Order Book Analysis – Combinatorial order matching and execution strategies
Blockchain & Cryptographic Finance – Elliptic curve cryptography, zero-knowledge proofs, and smart contract security
Python Implementations & Case Studies – Hands-on coding with NetworkX, SciPy, and NumPy

Who This Book is For:

Traders & Algorithmic Investors – Optimize trade execution with combinatorial methods
Risk Analysts & Portfolio Managers – Apply discrete models for efficient asset allocation
Quantitative Researchers & Data Scientists – Integrate combinatorial optimization into financial models
Students & Academics in Finance & Mathematics – Build a strong foundation in discrete finance applications

With clear explanations, practical case studies, and hands-on Python examples, this book transforms combinatorial and discrete mathematics into powerful tools for financial decision-making.

Solve complex financial problems with discrete mathematics—get your copy today!