ISBN: 9798283080024 - stochastic calculus for finance: models, sdes, and volatility tools for quant traders: mastering stochastic models, sdes, and volatility tools for algorithmic and quantitative trading (8 resultados)

Paperback. Condición: New.

Taschenbuch. Condición: Neu. Neuware.

Paperback. Condición: New.

Paperback. Condición: new. Paperback. Reactive PublishingUnderstand the mathematical foundation of modern quantitative finance with Stochastic Calculus for Finance. This advanced guide explores the essential tools used by professional quant traders to model uncertainty, price derivatives, and manage risk in dynamic financial markets. Through a practical lens, you'll learn how to apply stochastic differential equations (SDEs), Brownian motion, Ito's Lemma, and volatility surfaces to real-world trading systems.Whether you're building algorithmic models or fine-tuning derivatives pricing engines, this book equips you with the rigor and clarity needed to implement robust stochastic models. Topics include mean-reverting processes, jump diffusion models, volatility clustering, risk-neutral valuation, and advanced calibration techniques used on the trading floor.Designed for quantitative analysts, financial engineers, and advanced finance students, this book bridges theory and implementation-providing code-ready frameworks, use-case insights, and model validation strategies. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: New. Print on Demand.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condición: new. Paperback. Reactive PublishingUnderstand the mathematical foundation of modern quantitative finance with Stochastic Calculus for Finance. This advanced guide explores the essential tools used by professional quant traders to model uncertainty, price derivatives, and manage risk in dynamic financial markets. Through a practical lens, you'll learn how to apply stochastic differential equations (SDEs), Brownian motion, Ito's Lemma, and volatility surfaces to real-world trading systems.Whether you're building algorithmic models or fine-tuning derivatives pricing engines, this book equips you with the rigor and clarity needed to implement robust stochastic models. Topics include mean-reverting processes, jump diffusion models, volatility clustering, risk-neutral valuation, and advanced calibration techniques used on the trading floor.Designed for quantitative analysts, financial engineers, and advanced finance students, this book bridges theory and implementation-providing code-ready frameworks, use-case insights, and model validation strategies. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…