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Stochastic Calculus & Brownian Motion in Quant Finance: A Practical Guide to Option Pricing, Volatility Modeling, and Algorithmic Trading - Softcover
Synopsis
Reactive Publishing
This book delivers the mathematical foundations of modern quantitative finance with a direct, applied focus. Built around stochastic calculus and Brownian motion, it shows how continuous-time models underpin option pricing, risk management, and trading strategies used on today’s desks.
You’ll move from first principles to advanced applications, learning not only the theory but also how to implement it in practice. Each chapter connects core concepts to real trading problems, so the math isn’t just abstract, it’s actionable.
What You’ll Learn
Construction and properties of Wiener processes and Ito integrals
Application of Ito’s Lemma in derivatives pricing
Stochastic differential equations (SDEs) and their financial interpretation
How stochastic calculus powers the Black-Scholes model, Greeks, and hedging
Practical approaches to volatility modeling and path-dependent options
Python-based Monte Carlo methods and algorithmic trading applications
Who It’s For
Quantitative analysts, traders, and risk managers
Financial engineers and graduate students in finance
Python developers working in quantitative modeling
Professionals seeking a practical, mathematically rigorous guide
"synopsis" may belong to another edition of this title.
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Stochastic Calculus & Brownian Motion in Quant Finance: A Practical Guide to Option Pricing, Volatility Modeling, and Algorithmic Trading
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Stochastic Calculus & Brownian Motion in Quant Finance: A Practical Guide to Option Pricing, Volatility Modeling, and Algorithmic Trading
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Stochastic Calculus & Brownian Motion in Quant Finance (Paperback)
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Paperback. Condition: new. Paperback. Reactive PublishingThis book delivers the mathematical foundations of modern quantitative finance with a direct, applied focus. Built around stochastic calculus and Brownian motion, it shows how continuous-time models underpin option pricing, risk management, and trading strategies used on today's desks.You'll move from first principles to advanced applications, learning not only the theory but also how to implement it in practice. Each chapter connects core concepts to real trading problems, so the math isn't just abstract, it's actionable.What You'll LearnConstruction and properties of Wiener processes and Ito integralsApplication of Ito's Lemma in derivatives pricingStochastic differential equations (SDEs) and their financial interpretationHow stochastic calculus powers the Black-Scholes model, Greeks, and hedgingPractical approaches to volatility modeling and path-dependent optionsPython-based Monte Carlo methods and algorithmic trading applicationsWho It's ForQuantitative analysts, traders, and risk managersFinancial engineers and graduate students in financePython developers working in quantitative modelingProfessionals seeking a practical, mathematically rigorous guide This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798268349481
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Stochastic Calculus and Brownian Motion in Quant Finance
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Stochastic Calculus & Brownian Motion in Quant Finance (Paperback)
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Paperback. Condition: new. Paperback. Reactive PublishingThis book delivers the mathematical foundations of modern quantitative finance with a direct, applied focus. Built around stochastic calculus and Brownian motion, it shows how continuous-time models underpin option pricing, risk management, and trading strategies used on today's desks.You'll move from first principles to advanced applications, learning not only the theory but also how to implement it in practice. Each chapter connects core concepts to real trading problems, so the math isn't just abstract, it's actionable.What You'll LearnConstruction and properties of Wiener processes and Ito integralsApplication of Ito's Lemma in derivatives pricingStochastic differential equations (SDEs) and their financial interpretationHow stochastic calculus powers the Black-Scholes model, Greeks, and hedgingPractical approaches to volatility modeling and path-dependent optionsPython-based Monte Carlo methods and algorithmic trading applicationsWho It's ForQuantitative analysts, traders, and risk managersFinancial engineers and graduate students in financePython developers working in quantitative modelingProfessionals seeking a practical, mathematically rigorous guide This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798268349481
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