Reactive Publishing
In today's high-frequency, data-rich markets, traditional volatility models fall short. Enter the powerful fusion of rough volatility frameworks and modern deep learning, specifically Transformers, that is redefining how quantitative traders, researchers, and risk managers capture market dynamics.
This cutting-edge guide bridges stochastic processes, fractional Brownian motion, and state-of-the-art neural architectures to deliver practical, high-performance solutions for:
You'll discover how to implement end-to-end pipelines in Python, from simulating rough paths and training attention-based models to deploying arbitrage engines that adapt to regime shifts. Complete with mathematical foundations, code repositories, performance benchmarks, and production-ready techniques, this book equips you to move beyond Black-Scholes limitations and extract genuine alpha from volatility surfaces.
Perfect for:
Whether you're refining Heston-style models, exploring fractional volatility, or building Transformer-driven trading systems, Neural Rough Volatility provides the rigorous theory and battle-tested code you need to stay ahead in an increasingly competitive market.
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Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: new. Paperback. Reactive PublishingIn today's high-frequency, data-rich markets, traditional volatility models fall short. Enter the powerful fusion of rough volatility frameworks and modern deep learning, specifically Transformers, that is redefining how quantitative traders, researchers, and risk managers capture market dynamics.This cutting-edge guide bridges stochastic processes, fractional Brownian motion, and state-of-the-art neural architectures to deliver practical, high-performance solutions for: Rough volatility modeling (including the Rough Bergomi model and its extensions)Neural calibration of volatility surfaces with unprecedented speed and accuracyTransformer-based forecasting of implied volatility dynamics and term-structure behaviorAdvanced options arbitrage strategies that exploit mispricings across strikes, maturities, and underlyingsReal-time surface modeling and hedging in equity, FX, and commodity marketsYou'll discover how to implement end-to-end pipelines in Python, from simulating rough paths and training attention-based models to deploying arbitrage engines that adapt to regime shifts. Complete with mathematical foundations, code repositories, performance benchmarks, and production-ready techniques, this book equips you to move beyond Black-Scholes limitations and extract genuine alpha from volatility surfaces.Perfect for: Quantitative researchers and PhD-level practitionersOptions traders and volatility arbitrage desksMachine learning engineers working in financeRisk managers and portfolio strategists seeking next-generation toolsWhether you're refining Heston-style models, exploring fractional volatility, or building Transformer-driven trading systems, Neural Rough Volatility provides the rigorous theory and battle-tested code you need to stay ahead in an increasingly competitive market. 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 # 9798184746197
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # L2-9798184746197
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Seller: CitiRetail, Stevenage, United Kingdom
Paperback. Condition: new. Paperback. Reactive PublishingIn today's high-frequency, data-rich markets, traditional volatility models fall short. Enter the powerful fusion of rough volatility frameworks and modern deep learning, specifically Transformers, that is redefining how quantitative traders, researchers, and risk managers capture market dynamics.This cutting-edge guide bridges stochastic processes, fractional Brownian motion, and state-of-the-art neural architectures to deliver practical, high-performance solutions for: Rough volatility modeling (including the Rough Bergomi model and its extensions)Neural calibration of volatility surfaces with unprecedented speed and accuracyTransformer-based forecasting of implied volatility dynamics and term-structure behaviorAdvanced options arbitrage strategies that exploit mispricings across strikes, maturities, and underlyingsReal-time surface modeling and hedging in equity, FX, and commodity marketsYou'll discover how to implement end-to-end pipelines in Python, from simulating rough paths and training attention-based models to deploying arbitrage engines that adapt to regime shifts. Complete with mathematical foundations, code repositories, performance benchmarks, and production-ready techniques, this book equips you to move beyond Black-Scholes limitations and extract genuine alpha from volatility surfaces.Perfect for: Quantitative researchers and PhD-level practitionersOptions traders and volatility arbitrage desksMachine learning engineers working in financeRisk managers and portfolio strategists seeking next-generation toolsWhether you're refining Heston-style models, exploring fractional volatility, or building Transformer-driven trading systems, Neural Rough Volatility provides the rigorous theory and battle-tested code you need to stay ahead in an increasingly competitive market. 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 # 9798184746197
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Taschenbuch. Condition: Neu. Neuware. Seller Inventory # 9798184746197
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