Isbn: 9798312677935 - opology & geometry in quantitative finance: a mathematical framework for market structure, risk, and portfolio optimization: a comprehensive guide for 2025: 3 (9 risultati)

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

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

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Condizione: New.

Condizione: As New. Unread book in perfect condition.

Taschenbuch. Condizione: Neu. Neuware - Reactive PublishingModern financial systems are complex, high-dimensional spaces where traditional methods often fail to capture deep structural relationships. Topology and geometry provide a powerful mathematical framework for understanding market behavior, risk propagation, and portfolio dynamics in ways that conventional statistical methods cannot.This book bridges the gap between abstract mathematics and practical finance, offering insights into manifold structures, persistent homology, and differential geometry for quantitative trading, risk management, and portfolio optimization.What You'll Learn: Differential Geometry in Finance - Understand manifolds, curvature, and geodesics in financial modelingTopological Data Analysis (TDA) - Discover market structure and clustering using persistent homologyGeometric Portfolio Theory - Optimize asset allocation using Riemannian metrics and distance functionsTrading Strategies with Manifold Learning - Use topological features to detect market regime shiftsSystemic Risk & Network Topology - Model contagion and financial crises using graph & topological techniquesStochastic Differential Geometry - Apply Brownian motion on manifolds to option pricing and risk modelingPython Implementations & Real-World Case Studies - Hands-on coding with scikit-tda, NumPy, and TensorFlowWho This Book is For: Quantitative Traders & Hedge Funds - Apply geometric insights to trading algorithms and market structure analysisRisk Managers & Financial Engineers - Improve systemic risk models using topological data analysisAI & Machine Learning Researchers - Integrate geometric deep learning and manifold-based feature extractionStudents & Academics in Quant Finance & Math - Build a strong foundation in topology and differential geometry for financeWith clear explanations, hands-on Python examples, and practical case studies, this book transforms abstract mathematical concepts into actionable tools for financial decision-making.Redefine the way you see financial markets-get your copy today. …

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Paperback. Condizione: new. Paperback. Reactive PublishingModern financial systems are complex, high-dimensional spaces where traditional methods often fail to capture deep structural relationships. Topology and geometry provide a powerful mathematical framework for understanding market behavior, risk propagation, and portfolio dynamics in ways that conventional statistical methods cannot.This book bridges the gap between abstract mathematics and practical finance, offering insights into manifold structures, persistent homology, and differential geometry for quantitative trading, risk management, and portfolio optimization.What You'll Learn: Differential Geometry in Finance - Understand manifolds, curvature, and geodesics in financial modelingTopological Data Analysis (TDA) - Discover market structure and clustering using persistent homologyGeometric Portfolio Theory - Optimize asset allocation using Riemannian metrics and distance functionsTrading Strategies with Manifold Learning - Use topological features to detect market regime shiftsSystemic Risk & Network Topology - Model contagion and financial crises using graph & topological techniquesStochastic Differential Geometry - Apply Brownian motion on manifolds to option pricing and risk modelingPython Implementations & Real-World Case Studies - Hands-on coding with scikit-tda, NumPy, and TensorFlowWho This Book is For: Quantitative Traders & Hedge Funds - Apply geometric insights to trading algorithms and market structure analysisRisk Managers & Financial Engineers - Improve systemic risk models using topological data analysisAI & Machine Learning Researchers - Integrate geometric deep learning and manifold-based feature extractionStudents & Academics in Quant Finance & Math - Build a strong foundation in topology and differential geometry for financeWith clear explanations, hands-on Python examples, and practical case studies, this book transforms abstract mathematical concepts into actionable tools for financial decision-making.Redefine the way you see financial markets-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. …