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Monte Carlo Methods in Finance: A Hands-On Guide to Simulating Risk, Derivatives Pricing, and Portfolio Dynamics: Techniques for Pricing Derivatives, Modeling ... Building Robust
Reactive PublishingMaster Uncertainty with Confidence — The Definitive Monte Carlo Finance Toolkit
In Monte Carlo Methods in Finance, quantitative strategist Vincent Bissette delivers a powerful, practice-driven guide to modeling uncertainty and simulating outcomes in modern financial markets. Whether you're pricing complex derivatives, managing portfolio risk, or optimizing financial strategies, this book equips you with hands-on tools to harness the power of stochastic simulation.
You’ll
Real-world applications of Monte Carlo simulations in equity, fixed income, and options markets
Step-by-step guides to pricing exotic derivatives and structured products
Techniques to simulate interest rate models, credit risk, and path-dependent payoffs
Python-based coding examples and fully explained algorithms for practical implementation
Insights into variance reduction, scenario analysis, and dynamic portfolio evaluation
Built for financial analysts, quant developers, traders, and students, this guide goes beyond theory—giving you the applied knowledge to turn random variables into strategic advantage.
In Monte Carlo Methods in Finance, quantitative strategist Vincent Bissette delivers a powerful, practice-driven guide to modeling uncertainty and simulating outcomes in modern financial markets. Whether you're pricing complex derivatives, managing portfolio risk, or optimizing financial strategies, this book equips you with hands-on tools to harness the power of stochastic simulation.
You’ll
Real-world applications of Monte Carlo simulations in equity, fixed income, and options markets
Step-by-step guides to pricing exotic derivatives and structured products
Techniques to simulate interest rate models, credit risk, and path-dependent payoffs
Python-based coding examples and fully explained algorithms for practical implementation
Insights into variance reduction, scenario analysis, and dynamic portfolio evaluation
Built for financial analysts, quant developers, traders, and students, this guide goes beyond theory—giving you the applied knowledge to turn random variables into strategic advantage.
678 pages, Kindle Edition
Published May 1, 2025
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