opology & Geometry in Quantitative Finance: A Mathematical Framework for Market Structure, Risk, and Portfolio Optimization: A Comprehensive Guide for 2025

Author:   Alice Schwartz ,  Reactive Publishing ,  Hayden Van Der Post
Publisher:   Independently Published
Volume:   3
ISBN:  

9798312677935


Pages:   304
Publication Date:   02 March 2025
Format:   Paperback
Availability:   Available To Order   Availability explained
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opology & Geometry in Quantitative Finance: A Mathematical Framework for Market Structure, Risk, and Portfolio Optimization: A Comprehensive Guide for 2025


Overview

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 modeling Topological Data Analysis (TDA) - Discover market structure and clustering using persistent homology Geometric Portfolio Theory - Optimize asset allocation using Riemannian metrics and distance functions Trading Strategies with Manifold Learning - Use topological features to detect market regime shifts Systemic Risk & Network Topology - Model contagion and financial crises using graph & topological techniques Stochastic Differential Geometry - Apply Brownian motion on manifolds to option pricing and risk modeling Python Implementations & Real-World Case Studies - Hands-on coding with scikit-tda, NumPy, and TensorFlow Who This Book is For: Quantitative Traders & Hedge Funds - Apply geometric insights to trading algorithms and market structure analysis Risk Managers & Financial Engineers - Improve systemic risk models using topological data analysis AI & Machine Learning Researchers - Integrate geometric deep learning and manifold-based feature extraction Students & Academics in Quant Finance & Math - Build a strong foundation in topology and differential geometry for finance With 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!

Full Product Details

Author:   Alice Schwartz ,  Reactive Publishing ,  Hayden Van Der Post
Publisher:   Independently Published
Imprint:   Independently Published
Volume:   3
Dimensions:   Width: 15.20cm , Height: 1.60cm , Length: 22.90cm
Weight:   0.408kg
ISBN:  

9798312677935


Pages:   304
Publication Date:   02 March 2025
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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