Stochastic Calculus for Modern Quantitative Finance and Algorithmic Trading (Paperback)

Lingua: inglese

Editore: Independently Published, 2026

9798198515994

Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail

Venditore con 5 stelle

Venditore AbeBooks dal 12 ottobre 2005

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Descrizione dell’articolo da parte del venditore

Paperback. Reactive PublishingStochastic Calculus for Modern Quantitative Finance and Algorithmic Trading offers a clear, practical, and rigorous introduction to stochastic calculus tailored specifically for quantitative finance professionals and algorithmic traders.This book bridges the gap between theoretical stochastic processes and real-world implementation in modern financial markets. Readers will learn how to apply core concepts, such as Ito's lemma, stochastic differential equations, martingales, and Brownian motion, directly to quantitative modeling and trading strategy development.What You'll Find Inside: Python Implementation: Complete, ready-to-use code examples using Python (NumPy, SciPy, pandas, and QuantLib) that demonstrate how to simulate stochastic processes, price derivatives, and build trading models.Modern Models: In-depth coverage of key models used in today's quantitative finance, including the Black-Scholes framework extensions, local volatility, stochastic volatility (Heston), jump-diffusion, and more.Real-World Applications: Practical case studies on algorithmic trading strategies, risk management, option pricing, portfolio optimization, and Monte Carlo methods applied to live market data.Written with both clarity and technical depth, this book is designed for readers who want to move beyond abstract theory and develop production-grade skills in quantitative finance and algorithmic trading.Whether you are a quantitative analyst, aspiring quant developer, algorithmic trader, or finance graduate student looking to strengthen your technical toolkit, this book provides the mathematical foundation and practical coding guidance needed to succeed in today's data-driven financial markets.No prior stochastic calculus experience is assumed, but familiarity with basic probability, calculus, and Python programming is recommended. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Codice articolo 9798198515994

Titolo
Stochastic Calculus for Modern Quantitative Finance and Algorithmic Trading (Paperback)
Autore
Danny Munrow
Editore
Independently Published
Anno di pubblicazione
2026
Condizione
new
Rilegatura
Paperback
Lingua
inglese
ISBN 13
9798198515994

Grand Eagle Retail

Bensenville, IL, U.S.A.

Venditore con 5 stelle

Venditore AbeBooks dal 12 ottobre 2005

Tariffe di spedizione nazionale per U.S.A.

ArticoloDa 6 a 14 giorni lavorativiDa 6 a 16 giorni lavorativi
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