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Risk Measures

Risk Measures

Risk Measures

An Introduction to the Mathematical Theory
Authors:
Ilya Molchanov, Universität Bern, Switzerland
Johanna Ziegel, ETH Zürich
Published:
February 2026
Availability:
Not yet published - available from February 2026
Format:
Paperback
ISBN:
9781009710930

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c.
$39.99
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Paperback
$99.99 USD
Hardback

    Providing comprehensive yet accessible coverage, this is the first graduate-level textbook dedicated to the mathematical theory of risk measures. It explains how economic and financial principles result in a profound mathematical theory that allows us to quantify risk in monetary terms, giving rise to risk measures. Each chapter is designed to match the length of one or two lectures, covering the core theory in a self-contained manner, with exercises included in every chapter. Additional material sections then provide further background and insights for those looking to delve deeper. This two-layer modular design makes the book suitable as the basis for diverse lecture courses of varying length and level, and a valuable resource for researchers.

    • Provides a systematic account of basic theory of risk measures with emphasis on duality results
    • Includes a range of exercises, for use in class or for self-study
    • Requires an understanding of measure-theoretic probability and basic concepts from functional analysis

    Product details

    February 2026
    Paperback
    9781009710930
    211 pages
    229 × 152 mm
    0.25kg
    Not yet published - available from February 2026

    Table of Contents

    • Introduction
    • 1. Gains, quantiles and Value-at-Risk
    • 2. Monetary property and acceptance sets
    • 3. Diversification, convexity and coherence
    • 4. Average-Value-at-Risk
    • 5. Dual representation of convex and coherent risk measures
    • 6. Representation theorems for risk measures on $L_p$-spaces
    • 7. Constructions of risk measures
    • 8. Law-determined risk measures
    • 9. Law-determined risk measures on $L_p$-spaces
    • 10. Comonotonicity and Choquet integrals
    • 11. Coherent comonotonic additive risk measures
    • 12. Multivariate risk measures
    • List of representations of coherent risk measures
    • List of important law-determined risk measures
    • References
    • Index.
      Authors
    • Ilya Molchanov , Universität Bern, Switzerland

      Ilya Molchanov is Professor of Probability at the University of Bern, having previously worked at the University of Glasgow. He specialises in stochastic geometry. He authored 'Theory of Random Sets' (2017) and co-authored 'Random Sets in Econometrics' (2018) with Francesca Molinari, discussing the econometric applications of his work at the interface between probability theory and convex geometry.

    • Johanna Ziegel , ETH Zürich

      Johanna Ziegel is Professor of Statistics at ETH Zurich, having previously worked at the University of Bern. Her expertise is statistical forecasting theory and applications, mainly in finance and meteorology.