Isbn: 9798312683592 - combinatorial mathematics & discrete finance: a practical guide for analyst: 4 (6 risultati)

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New. In.

Taschenbuch. Condizione: Neu. Neuware - 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.…

Condizione: New. Print on Demand.

Paperback. Condizione: new. 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.…