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Graph Theory & Network Analysis in Quantitative Finance: A Practical Guide to Systemic Risk, Market Structures, and Algorithmic Trading: A Practical ... Traders (Technical Topics for Quant Finance)
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.82 kg
0.82 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Reactive PublishingDiscover the Power of Graph Theory & Network Analysis in Financial MarketsFinancial markets are complex networks of assets, institutions, and investors, where hidden connections drive risk, volatility, and market behavior. Graph theory and network analysis provide cutting-edge techniques to analyze these relationships, uncover market inefficiencies, and enhance trading strategies.This comprehensive guide bridges the gap between mathematics, data science, and finance, equipping you with practical tools to model systemic risk, market topology, and capital flows using graph-based techniques.What You’ll Learn:Graph Theory Fundamentals for Finance – Nodes, edges, adjacency matrices, and shortest path algorithms Market Structure & Network Dynamics – Analyzing trade networks, liquidity flows, and asset correlations Systemic Risk & Financial Contagion – Detecting too-big-to-fail institutions and contagion pathways in crises Centrality Measures & Market Influence – Using degree, betweenness, and eigenvector centrality for market impact analysis Algorithmic Trading & Graph-Based Strategies – Applying network models to predict price movements & uncover arbitrage opportunities Machine Learning & Network Science in Finance – Leveraging graph neural networks (GNNs) for risk modeling and fraud detection Python Implementation & Case Studies – Hands-on examples with NetworkX, Pandas, and PyGraphWho This Book is For:Traders & Hedge Fund Analysts – Gain an edge by analyzing market structures and capital flows Risk Managers & Financial Regulators – Detect financial contagion and assess systemic risk Quantitative Finance & Data Science Students – Master graph-based modeling for real-world financial applicationsWith clear explanations, real-world case studies, and Python implementations, this book transforms graph theory and network analysis into powerful tools for financial decision-making.Uncover hidden financial networks—get your copy today!
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U$S 43,98
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