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

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  • Idioma: Inglés

    Editorial: Independently Published, 2026

    9798195631451

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    Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail

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    Condición: Nuevo

    EUR 57,21

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    Cantidad disponible: 1 disponible

    Paperback. Condición: 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.…

  • Idioma: Inglés

    Editorial: Independently published, 2026

    9798195631451

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    Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books

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    Condición: Nuevo

    EUR 57,22

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    Cantidad disponible: Más de 20 disponibles

    Condición: New. Print on Demand.

  • Idioma: Inglés

    Editorial: Independently Published, 2026

    9798195631451

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    • Impresión bajo demanda

    Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail

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    Condición: Nuevo

    EUR 56,07

    Envío por EUR 43,80 
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: 1 disponible

    Paperback. Condición: 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.…