Reactive Publishing
Financial markets don’t fail when the models say they should, they fail when the models say they can’t. Risk Engineering for Quant Finance gives you the tools to survive and profit when the unexpected becomes reality.
This comprehensive guide goes beyond basic VaR and volatility estimates, showing you how to build crisis-resilient trading systems that thrive under extreme market stress. Learn to model fat-tailed distributions, detect regime shifts before they break your strategy, and design robust hedges that protect capital during black swan events.
Inside, you’ll discover:
Advanced Monte Carlo Stress Testing, Simulate extreme drawdowns, liquidity shocks, and tail-risk events with realistic scenarios.
Fat-Tail & Black Swan Modeling, Go beyond normality assumptions using EVT, power-law distributions, and Bayesian methods.
Crisis-Ready Hedging Frameworks, Deploy convex tail hedges with VIX, CDS, and volatility options to protect portfolios when correlations go to 1.
Regime-Switching Models, Build machine-learning classifiers to detect volatility regime changes before they impact PnL.
Practical Implementation, Step-by-step Python code for stress tests, risk metrics, and hedging strategies you can deploy today.
Whether you are a quant developer, risk manager, or independent trader, this book will show you how to turn catastrophic risk into predictable, manageable exposure—and build a portfolio that survives the next systemic shock.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Etat : New. N° de réf. du vendeur 51329221-n
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Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Paperback. Etat : new. Paperback. Reactive PublishingFinancial markets don't fail when the models say they should, they fail when the models say they can't. Risk Engineering for Quant Finance gives you the tools to survive and profit when the unexpected becomes reality.This comprehensive guide goes beyond basic VaR and volatility estimates, showing you how to build crisis-resilient trading systems that thrive under extreme market stress. Learn to model fat-tailed distributions, detect regime shifts before they break your strategy, and design robust hedges that protect capital during black swan events.Inside, you'll discover: Advanced Monte Carlo Stress Testing, Simulate extreme drawdowns, liquidity shocks, and tail-risk events with realistic scenarios.Fat-Tail & Black Swan Modeling, Go beyond normality assumptions using EVT, power-law distributions, and Bayesian methods.Crisis-Ready Hedging Frameworks, Deploy convex tail hedges with VIX, CDS, and volatility options to protect portfolios when correlations go to 1.Regime-Switching Models, Build machine-learning classifiers to detect volatility regime changes before they impact PnL.Practical Implementation, Step-by-step Python code for stress tests, risk metrics, and hedging strategies you can deploy today.Whether you are a quant developer, risk manager, or independent trader, this book will show you how to turn catastrophic risk into predictable, manageable exposure-and build a portfolio that survives the next systemic shock. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798265833402
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Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 51329221
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Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9798265833402
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Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
Paperback. Etat : New. N° de réf. du vendeur LU-9798265833402
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Etat : New. N° de réf. du vendeur 51329221-n
Quantité disponible : Plus de 20 disponibles
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 51329221
Quantité disponible : Plus de 20 disponibles
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Paperback. Etat : new. Paperback. Reactive PublishingFinancial markets don't fail when the models say they should, they fail when the models say they can't. Risk Engineering for Quant Finance gives you the tools to survive and profit when the unexpected becomes reality.This comprehensive guide goes beyond basic VaR and volatility estimates, showing you how to build crisis-resilient trading systems that thrive under extreme market stress. Learn to model fat-tailed distributions, detect regime shifts before they break your strategy, and design robust hedges that protect capital during black swan events.Inside, you'll discover: Advanced Monte Carlo Stress Testing, Simulate extreme drawdowns, liquidity shocks, and tail-risk events with realistic scenarios.Fat-Tail & Black Swan Modeling, Go beyond normality assumptions using EVT, power-law distributions, and Bayesian methods.Crisis-Ready Hedging Frameworks, Deploy convex tail hedges with VIX, CDS, and volatility options to protect portfolios when correlations go to 1.Regime-Switching Models, Build machine-learning classifiers to detect volatility regime changes before they impact PnL.Practical Implementation, Step-by-step Python code for stress tests, risk metrics, and hedging strategies you can deploy today.Whether you are a quant developer, risk manager, or independent trader, this book will show you how to turn catastrophic risk into predictable, manageable exposure-and build a portfolio that survives the next systemic shock. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798265833402
Quantité disponible : 1 disponible(s)
Vendeur : Rarewaves.com UK, London, Royaume-Uni
Book. Etat : New. N° de réf. du vendeur LU-9798265833402
Quantité disponible : Plus de 20 disponibles