Isbn: 9798279347865 - risk allocation under uncertainty: entropy, drawdown control, tail risk, and capital preservation in non-normal markets (6 risultati)

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  • Lingua: Inglese

    Editore: Independently published, 2025

    9798279347865

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    Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US

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    Condizione: Nuovo

    EUR 51,39

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    PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

  • Lingua: Inglese

    Editore: Independently published, 2025

    9798279347865

    • Brossura

    Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK

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    Condizione: Nuovo

    EUR 46,80

    EUR 5,92 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: Più di 20 disponibili

    PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

  • Lingua: Inglese

    Editore: Independently Published Dez 2025, 2025

    9798279347865

    • Brossura

    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Condizione: Nuovo

    EUR 66,79

    EUR 35,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 2 disponibili

    Taschenbuch. Condizione: Neu. Neuware - Reactive PublishingRisk Allocation Under Uncertainty is written for investors and quantitative practitioners who recognize that real-world risk does not follow normal distributions and that capital allocation must be designed for uncertainty, not equilibrium.Most portfolio frameworks rely on variance-based risk measures and Gaussian assumptions that underestimate drawdowns, tail events, and structural breaks. In non-normal markets, these assumptions fail precisely when protection is most needed. This book reframes risk allocation around survival, information, and capital preservation, rather than optimized return profiles that collapse under stress.The focus is on allocating capital when outcomes are asymmetric, distributions are fat-tailed, and uncertainty cannot be diversified away.You will explore how to: - Apply entropy and information-theoretic principles to capital allocation- Design drawdown-aware allocation rules that limit path dependency- Measure and manage tail risk beyond volatility-based metrics- Allocate risk when correlations spike and diversification fails- Preserve capital across regimes marked by shocks, illiquidity, and regime shiftsRather than treating risk as a static input, the book treats it as an evolving constraint shaped by market structure, leverage, and behavioral feedback loops. Allocation decisions are framed around how portfolios behave during adverse sequences, not just long-run averages.The emphasis is on robustness over precision and durability over optimization. Concepts are presented with quantitative clarity and practical intuition, making them applicable to systematic traders, portfolio managers, and advanced risk practitioners operating in uncertain environments.Risk Allocation Under Uncertainty is not about eliminating risk. It is about allocating capital intelligently when risk cannot be reliably measured, distributions are unstable, and preservation is the primary edge.…

  • Lingua: Inglese

    Editore: Independently Published, 2025

    9798279347865

    • Brossura
    • Print on Demand

    Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail

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    Condizione: Nuovo

    EUR 47,59

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    Spedito in U.S.A.

    Quantità: 1 disponibile

    Paperback. Condizione: new. Paperback. Reactive PublishingRisk Allocation Under Uncertainty is written for investors and quantitative practitioners who recognize that real-world risk does not follow normal distributions and that capital allocation must be designed for uncertainty, not equilibrium.Most portfolio frameworks rely on variance-based risk measures and Gaussian assumptions that underestimate drawdowns, tail events, and structural breaks. In non-normal markets, these assumptions fail precisely when protection is most needed. This book reframes risk allocation around survival, information, and capital preservation, rather than optimized return profiles that collapse under stress.The focus is on allocating capital when outcomes are asymmetric, distributions are fat-tailed, and uncertainty cannot be diversified away.You will explore how to: Apply entropy and information-theoretic principles to capital allocationDesign drawdown-aware allocation rules that limit path dependencyMeasure and manage tail risk beyond volatility-based metricsAllocate risk when correlations spike and diversification failsPreserve capital across regimes marked by shocks, illiquidity, and regime shiftsRather than treating risk as a static input, the book treats it as an evolving constraint shaped by market structure, leverage, and behavioral feedback loops. Allocation decisions are framed around how portfolios behave during adverse sequences, not just long-run averages.The emphasis is on robustness over precision and durability over optimization. Concepts are presented with quantitative clarity and practical intuition, making them applicable to systematic traders, portfolio managers, and advanced risk practitioners operating in uncertain environments.Risk Allocation Under Uncertainty is not about eliminating risk. It is about allocating capital intelligently when risk cannot be reliably measured, distributions are unstable, and preservation is the primary edge. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

  • Lingua: Inglese

    Editore: Independently published, 2025

    9798279347865

    • Brossura
    • Print on Demand

    Da: California Books, Miami, FL, U.S.A.California Books

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    Condizione: Nuovo

    EUR 47,60

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    Quantità: Più di 20 disponibili

    Condizione: New. Print on Demand.

  • Lingua: Inglese

    Editore: Independently Published, 2025

    9798279347865

    • Brossura
    • Print on Demand

    Da: CitiRetail, Stevenage, Regno UnitoCitiRetail

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    Condizione: Nuovo

    EUR 51,59

    EUR 43,62 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: 1 disponibile

    Paperback. Condizione: new. Paperback. Reactive PublishingRisk Allocation Under Uncertainty is written for investors and quantitative practitioners who recognize that real-world risk does not follow normal distributions and that capital allocation must be designed for uncertainty, not equilibrium.Most portfolio frameworks rely on variance-based risk measures and Gaussian assumptions that underestimate drawdowns, tail events, and structural breaks. In non-normal markets, these assumptions fail precisely when protection is most needed. This book reframes risk allocation around survival, information, and capital preservation, rather than optimized return profiles that collapse under stress.The focus is on allocating capital when outcomes are asymmetric, distributions are fat-tailed, and uncertainty cannot be diversified away.You will explore how to: Apply entropy and information-theoretic principles to capital allocationDesign drawdown-aware allocation rules that limit path dependencyMeasure and manage tail risk beyond volatility-based metricsAllocate risk when correlations spike and diversification failsPreserve capital across regimes marked by shocks, illiquidity, and regime shiftsRather than treating risk as a static input, the book treats it as an evolving constraint shaped by market structure, leverage, and behavioral feedback loops. Allocation decisions are framed around how portfolios behave during adverse sequences, not just long-run averages.The emphasis is on robustness over precision and durability over optimization. Concepts are presented with quantitative clarity and practical intuition, making them applicable to systematic traders, portfolio managers, and advanced risk practitioners operating in uncertain environments.Risk Allocation Under Uncertainty is not about eliminating risk. It is about allocating capital intelligently when risk cannot be reliably measured, distributions are unstable, and preservation is the primary edge. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…