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

★★★★★ 5.0 74 reviews

$34.99
Price when purchased online
Free shipping Free 30-day returns

Sold and shipped by eurcenter.net
We aim to show you accurate product information. Manufacturers, suppliers and others provide what you see here.
$34.99
Price when purchased online
Free shipping Free 30-day returns

How do you want your item?
You get 30 days free! Choose a plan at checkout.
Shipping
Arrives May 8
Free
Pickup
Check nearby
Delivery
Not available

Sold and shipped by eurcenter.net
Free 30-day returns Details

Product details

Management number 219248785 Release Date 2026/05/03 List Price $14.00 Model Number 219248785
Category

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! Read more

ISBN13 979-8312677935
Language English
Publisher Independently published
Dimensions 6 x 0.69 x 9 inches
Book 3 of 3 Mathematical Foundations of Quantitative Finance
Item Weight 14.4 ounces
Print length 303 pages
Publication date March 2, 2025

Correction of product information

If you notice any omissions or errors in the product information on this page, please use the correction request form below.

Correction Request Form

Customer ratings & reviews

5 out of 5
★★★★★
74 ratings | 30 reviews
How item rating is calculated
View all reviews
5 stars
90% (67)
4 stars
0% (0)
3 stars
0% (0)
2 stars
0% (0)
1 star
10% (7)
Sort by

There are currently no written reviews for this product.