Articoli correlati a Path-Dependent Options and Exotic Derivatives Pricing...
Sinossi
Reactive Publishing
Traditional options pricing models often assume simple payoff structures, but real-world financial markets demand more complex and exotic derivatives that rely on the entire price path of an asset, rather than just its final value. Path-dependent options—such as Asian, Barrier, Lookback, and Cliquet options—require specialized mathematical models and computational techniques for accurate pricing and risk management.
This book provides a comprehensive, Python-driven approach to implementing path-dependent options pricing models, using advanced Monte Carlo simulations, finite difference methods, and machine learning techniques to enhance pricing accuracy and efficiency.
Key Topics Covered:
Understanding Path-Dependent Options – How their payoffs differ from standard European and American options
Monte Carlo Simulations for Exotic Derivatives – Modeling Asian, Barrier, and Lookback options in Python
Finite Difference & PDE Approaches – Applying numerical methods for precise derivative pricing
Risk Analysis and Hedging Strategies – Managing path-dependent risks with volatility modeling
Machine Learning for Exotic Option Pricing – Using AI-driven approaches for faster and more accurate predictions
Python Implementation & Optimization – Hands-on coding with NumPy, SciPy, and TensorFlow for scalable computation
Designed for quantitative traders, risk analysts, and financial engineers, this book bridges theory and practice by providing a detailed, hands-on approach to pricing exotic derivatives.
Master the art of pricing complex options—Get your copy today!
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Paperback. Condizione: new. Paperback. Reactive PublishingTraditional options pricing models often assume simple payoff structures, but real-world financial markets demand more complex and exotic derivatives that rely on the entire price path of an asset, rather than just its final value. Path-dependent options-such as Asian, Barrier, Lookback, and Cliquet options-require specialized mathematical models and computational techniques for accurate pricing and risk management.This book provides a comprehensive, Python-driven approach to implementing path-dependent options pricing models, using advanced Monte Carlo simulations, finite difference methods, and machine learning techniques to enhance pricing accuracy and efficiency.Key Topics Covered: Understanding Path-Dependent Options - How their payoffs differ from standard European and American optionsMonte Carlo Simulations for Exotic Derivatives - Modeling Asian, Barrier, and Lookback options in PythonFinite Difference & PDE Approaches - Applying numerical methods for precise derivative pricingRisk Analysis and Hedging Strategies - Managing path-dependent risks with volatility modelingMachine Learning for Exotic Option Pricing - Using AI-driven approaches for faster and more accurate predictionsPython Implementation & Optimization - Hands-on coding with NumPy, SciPy, and TensorFlow for scalable computationDesigned for quantitative traders, risk analysts, and financial engineers, this book bridges theory and practice by providing a detailed, hands-on approach to pricing exotic derivatives.Master the art of pricing complex options-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. Codice articolo 9798314074350
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