Isbn: 9798195631451 - information geometry for financial markets: statistical manifolds and divergence methods in quantitative finance (3 risultati)

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  • Lingua: Inglese

    Editore: Independently Published, 2026

    9798195631451

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

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    Condizione: Nuovo

    EUR 57,21

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    Quantità: 1 disponibile

    Paperback. Condizione: new. Paperback. Reactive PublishingInformation Geometry for Financial Markets introduces the mathematical foundations of information geometry and shows how its core ideas can be applied to quantitative finance. Designed for readers with a background in statistics, financial modeling, or quantitative analysis, this book examines statistical manifolds, divergence measures, probability distributions, and geometric approaches to market behavior.The book explains how financial data can be studied through the structure of probability spaces, with attention to model distance, distributional change, volatility behavior, and regime-sensitive analysis. Topics include Fisher information, Kullback-Leibler divergence, statistical curvature, manifold-based representations, and their relevance to risk modeling, portfolio analysis, signal research, and market state classification.Rather than presenting information geometry as an abstract mathematical field alone, this guide connects the theory to practical quantitative questions: how models differ, how market regimes shift, how distributions evolve, and how geometry can clarify relationships that are difficult to capture with linear methods.Inside, readers will find a structured treatment of: Information geometry and statistical manifoldsDivergence measures and model comparisonProbability distributions in financial market analysisGeometric perspectives on volatility and regime behaviorApplications to quantitative research and risk modelingConceptual links between entropy, distance, curvature, and market structureWritten for quantitative analysts, financial engineers, data scientists, and advanced finance students, this book offers a rigorous introduction to a specialized framework for thinking about uncertainty, market dynamics, and statistical structure in financial systems. 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, 2026

    9798195631451

    • Brossura
    • Print on Demand

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

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    Condizione: Nuovo

    EUR 57,22

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    Quantità: Più di 20 disponibili

    Condizione: New. Print on Demand.

  • Lingua: Inglese

    Editore: Independently Published, 2026

    9798195631451

    • Brossura
    • Print on Demand

    Da: CitiRetail, Stevenage, Regno UnitoCitiRetail

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    Condizione: Nuovo

    EUR 56,07

    EUR 43,80 spedizione 
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    Quantità: 1 disponibile

    Paperback. Condizione: new. Paperback. Reactive PublishingInformation Geometry for Financial Markets introduces the mathematical foundations of information geometry and shows how its core ideas can be applied to quantitative finance. Designed for readers with a background in statistics, financial modeling, or quantitative analysis, this book examines statistical manifolds, divergence measures, probability distributions, and geometric approaches to market behavior.The book explains how financial data can be studied through the structure of probability spaces, with attention to model distance, distributional change, volatility behavior, and regime-sensitive analysis. Topics include Fisher information, Kullback-Leibler divergence, statistical curvature, manifold-based representations, and their relevance to risk modeling, portfolio analysis, signal research, and market state classification.Rather than presenting information geometry as an abstract mathematical field alone, this guide connects the theory to practical quantitative questions: how models differ, how market regimes shift, how distributions evolve, and how geometry can clarify relationships that are difficult to capture with linear methods.Inside, readers will find a structured treatment of: Information geometry and statistical manifoldsDivergence measures and model comparisonProbability distributions in financial market analysisGeometric perspectives on volatility and regime behaviorApplications to quantitative research and risk modelingConceptual links between entropy, distance, curvature, and market structureWritten for quantitative analysts, financial engineers, data scientists, and advanced finance students, this book offers a rigorous introduction to a specialized framework for thinking about uncertainty, market dynamics, and statistical structure in financial systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…