Reactive Publishing
Most financial models assume markets behave nicely. They do not.
Returns are not normally distributed. Volatility clusters. Correlations spike under stress. Rare events dominate outcomes. And strategies that look statistically sound on paper routinely fail in live markets.
Risk & Uncertainty in Quantitative Finance is written for quantitative analysts, traders, portfolio managers, and technically minded investors who want to move beyond fragile Gaussian assumptions and design systems that survive real-world uncertainty.
Building on classical probability and statistics, this book focuses on how risk actually manifests in markets—and how to manage it when distributions are fat-tailed, regimes shift, and outcomes are path-dependent. Rather than treating risk as a static number, it shows how uncertainty evolves over time and how poor risk architecture, not bad signals, is the primary cause of blowups.
Inside, you will learn how to:
Model and reason about fat tails, extreme events, and asymmetric risk
Understand drawdowns, risk of ruin, and survival constraints in trading systems
Design position sizing frameworks that balance growth, volatility, and drawdown control
Recognize regime shifts, volatility clustering, and structural breaks before they invalidate models
Distinguish expected value from realized outcomes in path-dependent systems
Build portfolios and strategies that remain robust when assumptions fail
This book is not about chasing alpha or optimizing backtests. It is about designing decision systems that remain functional when markets behave badly, and knowing which risks matter, which do not, and which will eventually end you if ignored.
If you rely on statistical models, quantitative strategies, or systematic decision-making in financial markets, this book will change how you think about risk, and why survival, not precision, is the true objective of quantitative finance.
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Librería: California Books, Miami, FL, Estados Unidos de America
Condición: New. Print on Demand. Nº de ref. del artículo: I-9798242758483
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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L0-9798242758483
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Paperback. Condición: new. Paperback. Reactive PublishingMost financial models assume markets behave nicely. They do not.Returns are not normally distributed. Volatility clusters. Correlations spike under stress. Rare events dominate outcomes. And strategies that look statistically sound on paper routinely fail in live markets.Risk & Uncertainty in Quantitative Finance is written for quantitative analysts, traders, portfolio managers, and technically minded investors who want to move beyond fragile Gaussian assumptions and design systems that survive real-world uncertainty.Building on classical probability and statistics, this book focuses on how risk actually manifests in markets-and how to manage it when distributions are fat-tailed, regimes shift, and outcomes are path-dependent. Rather than treating risk as a static number, it shows how uncertainty evolves over time and how poor risk architecture, not bad signals, is the primary cause of blowups.Inside, you will learn how to: Model and reason about fat tails, extreme events, and asymmetric riskUnderstand drawdowns, risk of ruin, and survival constraints in trading systemsDesign position sizing frameworks that balance growth, volatility, and drawdown controlRecognize regime shifts, volatility clustering, and structural breaks before they invalidate modelsDistinguish expected value from realized outcomes in path-dependent systemsBuild portfolios and strategies that remain robust when assumptions failThis book is not about chasing alpha or optimizing backtests. It is about designing decision systems that remain functional when markets behave badly, and knowing which risks matter, which do not, and which will eventually end you if ignored.If you rely on statistical models, quantitative strategies, or systematic decision-making in financial markets, this book will change how you think about risk, and why survival, not precision, is the true objective of quantitative finance. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9798242758483
Cantidad disponible: 1 disponibles
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
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. Nº de ref. del artículo: L0-9798242758483
Cantidad disponible: Más de 20 disponibles
Librería: CitiRetail, Stevenage, Reino Unido
Paperback. Condición: new. Paperback. Reactive PublishingMost financial models assume markets behave nicely. They do not.Returns are not normally distributed. Volatility clusters. Correlations spike under stress. Rare events dominate outcomes. And strategies that look statistically sound on paper routinely fail in live markets.Risk & Uncertainty in Quantitative Finance is written for quantitative analysts, traders, portfolio managers, and technically minded investors who want to move beyond fragile Gaussian assumptions and design systems that survive real-world uncertainty.Building on classical probability and statistics, this book focuses on how risk actually manifests in markets-and how to manage it when distributions are fat-tailed, regimes shift, and outcomes are path-dependent. Rather than treating risk as a static number, it shows how uncertainty evolves over time and how poor risk architecture, not bad signals, is the primary cause of blowups.Inside, you will learn how to: Model and reason about fat tails, extreme events, and asymmetric riskUnderstand drawdowns, risk of ruin, and survival constraints in trading systemsDesign position sizing frameworks that balance growth, volatility, and drawdown controlRecognize regime shifts, volatility clustering, and structural breaks before they invalidate modelsDistinguish expected value from realized outcomes in path-dependent systemsBuild portfolios and strategies that remain robust when assumptions failThis book is not about chasing alpha or optimizing backtests. It is about designing decision systems that remain functional when markets behave badly, and knowing which risks matter, which do not, and which will eventually end you if ignored.If you rely on statistical models, quantitative strategies, or systematic decision-making in financial markets, this book will change how you think about risk, and why survival, not precision, is the true objective of quantitative finance. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798242758483
Cantidad disponible: 1 disponibles