William Johnson 
Monte Carlo Methods in Finance [EPUB ebook] 
Simulation Techniques for Market Modeling

Apoio

‘Monte Carlo Methods in Finance: Simulation Techniques for Market Modeling’ presents a sophisticated and in-depth exploration of Monte Carlo simulations, a vital tool in modern financial analysis. This book deftly bridges the gap between theoretical constructs and practical implementation, guiding readers through a comprehensive understanding of how these methods unlock insights into the complexities of financial markets. Through capturing the randomness and volatility inherent in financial systems, Monte Carlo techniques provide a structured approach to modeling uncertainty, pricing derivatives, optimizing portfolios, and managing risk with precision and rigor.
With a focus on making advanced concepts accessible, this book seamlessly integrates foundational theories with real-world applications. Each chapter meticulously explores critical subjects—ranging from stochastic processes and option pricing to credit risk and machine learning—while providing clear step-by-step Python implementations. As readers progress, they gain robust skills in executing simulations and interpreting results, empowering them to make informed financial decisions. Whether you are a student, a practitioner, or someone with a keen interest in quantitative finance, this text serves as an invaluable resource for mastering the intricacies of Monte Carlo methods and their impactful role in shaping contemporary finance.

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Língua Inglês ● Formato EPUB ● Páginas 325 ● ISBN 6610000657537 ● Tamanho do arquivo 1.8 MB ● Editora HiTeX Press ● Cidade Berlin ● País DE ● Publicado 2024 ● Carregável 24 meses ● Moeda EUR ● ID 9988064 ● Proteção contra cópia sem

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