Articles liés à Combinatorial & Discrete Mathematics in Finance:...
Combinatorial & Discrete Mathematics in Finance: A Practical Guide to Portfolio Optimization, Algorithmic Trading, and Risk Modeling - Couverture souple
Synopsis
Reactive Publishing
Harness the Power of Combinatorial & Discrete Mathematics for Smarter Financial Decisions
Modern financial markets are built on discrete structures, combinatorial algorithms, and advanced mathematical models. From portfolio optimization and risk modeling to algorithmic trading and derivatives pricing, combinatorial and discrete mathematics provide the essential tools for financial decision-making in high-frequency trading, cryptography, and market simulations.
This comprehensive guide bridges theory and real-world applications, giving you the mathematical tools needed to solve complex financial problems using graph theory, optimization techniques, and algorithmic strategies.
What You’ll Learn:Graph Theory & Market Networks – Analyze financial connections, systemic risk, and capital flows
Combinatorial Portfolio Optimization – Leverage integer programming and dynamic programming for asset allocation
Game Theory & Decision Trees – Apply combinatorial strategies to auctions, pricing models, and market competition
Lattice Models & Binomial Trees – Discrete-time pricing for options, derivatives, and risk-neutral valuation
Algorithmic Trading & Order Book Optimization – Use combinatorial methods for optimal trade execution
Cryptography & Blockchain in Finance – Secure transactions with elliptic curve cryptography and zero-knowledge proofs
Python Implementations & Case Studies – Hands-on coding with NetworkX, SciPy, and NumPy
Traders & Quantitative Analysts – Use discrete math for systematic trading and high-frequency strategies
Portfolio Managers & Risk Analysts – Optimize asset allocation using combinatorial techniques
Data Scientists & AI Researchers – Apply combinatorial methods to machine learning and predictive analytics
Students & Academics in Finance & Math – Gain a deep understanding of discrete structures in financial modeling
With clear explanations, real-world case studies, and hands-on Python examples, this book transforms combinatorial and discrete mathematics into powerful tools for financial decision-making.
Master the math behind modern finance—get your copy today!
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Combinatorial & Discrete Mathematics in Finance: A Practical Guide to Portfolio Optimization, Algorithmic Trading, and Risk Modeling (Mathematical Foundations of Quantitative Finance)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Combinatorial & Discrete Mathematics in Finance: A Practical Guide to Portfolio Optimization, Algorithmic Trading, and Risk Modeling (Mathematical Foundations of Quantitative Finance)
impression à la demandeVendeur : California Books, Miami, FL, Etats-Unis
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Etat : New. Print on Demand. N° de réf. du vendeur I-9798312672602
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Combinatorial & Discrete Mathematics in Finance (Paperback)
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. Reactive PublishingHarness the Power of Combinatorial & Discrete Mathematics for Smarter Financial DecisionsModern financial markets are built on discrete structures, combinatorial algorithms, and advanced mathematical models. From portfolio optimization and risk modeling to algorithmic trading and derivatives pricing, combinatorial and discrete mathematics provide the essential tools for financial decision-making in high-frequency trading, cryptography, and market simulations.This comprehensive guide bridges theory and real-world applications, giving you the mathematical tools needed to solve complex financial problems using graph theory, optimization techniques, and algorithmic strategies.What You'll Learn: Graph Theory & Market Networks - Analyze financial connections, systemic risk, and capital flowsCombinatorial Portfolio Optimization - Leverage integer programming and dynamic programming for asset allocationGame Theory & Decision Trees - Apply combinatorial strategies to auctions, pricing models, and market competitionLattice Models & Binomial Trees - Discrete-time pricing for options, derivatives, and risk-neutral valuationAlgorithmic Trading & Order Book Optimization - Use combinatorial methods for optimal trade executionCryptography & Blockchain in Finance - Secure transactions with elliptic curve cryptography and zero-knowledge proofsPython Implementations & Case Studies - Hands-on coding with NetworkX, SciPy, and NumPyWho This Book is For: Traders & Quantitative Analysts - Use discrete math for systematic trading and high-frequency strategiesPortfolio Managers & Risk Analysts - Optimize asset allocation using combinatorial techniquesData Scientists & AI Researchers - Apply combinatorial methods to machine learning and predictive analyticsStudents & Academics in Finance & Math - Gain a deep understanding of discrete structures in financial modelingWith clear explanations, real-world case studies, and hands-on Python examples, this book transforms combinatorial and discrete mathematics into powerful tools for financial decision-making.Master the math behind modern finance-get your copy today! Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798312672602
Quantité disponible : 1 disponible(s)
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Combinatorial & Discrete Mathematics in Finance (Paperback)
Vendeur : Grand Eagle Retail, Fairfield, OH, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. Reactive PublishingHarness the Power of Combinatorial & Discrete Mathematics for Smarter Financial DecisionsModern financial markets are built on discrete structures, combinatorial algorithms, and advanced mathematical models. From portfolio optimization and risk modeling to algorithmic trading and derivatives pricing, combinatorial and discrete mathematics provide the essential tools for financial decision-making in high-frequency trading, cryptography, and market simulations.This comprehensive guide bridges theory and real-world applications, giving you the mathematical tools needed to solve complex financial problems using graph theory, optimization techniques, and algorithmic strategies.What You'll Learn: Graph Theory & Market Networks - Analyze financial connections, systemic risk, and capital flowsCombinatorial Portfolio Optimization - Leverage integer programming and dynamic programming for asset allocationGame Theory & Decision Trees - Apply combinatorial strategies to auctions, pricing models, and market competitionLattice Models & Binomial Trees - Discrete-time pricing for options, derivatives, and risk-neutral valuationAlgorithmic Trading & Order Book Optimization - Use combinatorial methods for optimal trade executionCryptography & Blockchain in Finance - Secure transactions with elliptic curve cryptography and zero-knowledge proofsPython Implementations & Case Studies - Hands-on coding with NetworkX, SciPy, and NumPyWho This Book is For: Traders & Quantitative Analysts - Use discrete math for systematic trading and high-frequency strategiesPortfolio Managers & Risk Analysts - Optimize asset allocation using combinatorial techniquesData Scientists & AI Researchers - Apply combinatorial methods to machine learning and predictive analyticsStudents & Academics in Finance & Math - Gain a deep understanding of discrete structures in financial modelingWith clear explanations, real-world case studies, and hands-on Python examples, this book transforms combinatorial and discrete mathematics into powerful tools for financial decision-making.Master the math behind modern finance-get your copy today! Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798312672602
Quantité disponible : 1 disponible(s)