Risk Quantification and Allocation Methods for Practitioners.

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Superior document:Atlantis Studies in Computational Finance and Financial Engineering Series
:
TeilnehmendeR:
Place / Publishing House:Amsterdam : : Amsterdam University Press,, 2017.
©2017.
Year of Publication:2017
Edition:1st ed.
Language:English
Series:Atlantis Studies in Computational Finance and Financial Engineering Series
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Physical Description:1 online resource (169 pages)
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id 5006639843
ctrlnum (MiAaPQ)5006639843
(Au-PeEL)EBL6639843
(OCoLC)1256821465
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spelling Belles-Sampera, Jaume.
Risk Quantification and Allocation Methods for Practitioners.
1st ed.
Amsterdam : Amsterdam University Press, 2017.
©2017.
1 online resource (169 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Atlantis Studies in Computational Finance and Financial Engineering Series
Intro -- Preface -- Contents -- List of Figures -- List of Tables -- Part I Risk Assessment -- Preliminary concepts on quantitative risk measurement -- Risk measurement - Theory -- First definitions -- Properties for risk measures -- Risk measurement - Practice -- `Liability side' versus `asset side' perspectives -- Some misunderstandings to be avoided in practice -- Exercises -- Data on losses for risk evaluation -- An example on three dimensional data -- Basic graphical analysis of the loss severity distributions -- Quantile estimation -- Examples -- A family of distortion risk measures -- Overview on risk measures -- Distortion risk measures -- A new family of risk measures: GlueVaR -- Linear combination of risk measures -- Subadditivity -- Concavity of the distortion function -- Example of risk measurement with GlueVaR -- Exercises -- GlueVaR and other new risk measures -- Analytical closed-form expressions of GlueVaR -- Illustration: GlueVaR expression for Student t distribution -- Analytical expressions for other frequently used distributions -- The Cornish-Fisher approximation of GlueVaR -- On the relationship between GlueVaR and Tail Distortion risk measures -- On the relationship between GlueVaR and RVaR risk measures -- Example -- Exercises -- Risk measure choice -- Aggregate attitude towards risk -- Local risk attitude -- Application of risk assessment in a scenario involving catastrophic losses -- Calibration of GlueVaR parameters -- Data and Results -- GlueVaR to reflect risk attitudes -- Exercises -- Part II Capital Allocation Problems -- An overview on capital allocation problems -- Main concepts and notation -- Properties of capital allocation principles -- Review of some principles -- The gradient allocation principle -- Other capital allocation principles based on partial contributions -- The excess based allocation principle.
Further reading -- Exercices -- Capital allocation based on GlueVaR -- A capital allocation framework -- The Haircut capital allocation principle -- Proportional risk capital allocation principles using GlueVaR -- Stand-alone proportional allocation principles using GlueVaR -- Proportional allocation principles based on partial contributions using GlueVaR -- An example of risk capital allocation on claim costs -- Exercices -- Capital allocation principles as compositional data -- The simplex and its vectorial and metric structure -- From capital allocation principles to compositional data -- Simplicial concepts applied to capital allocation -- The inverse of a capital allocation -- Ranking capital allocation principles -- Averaging capital allocation principles -- An illustration -- Exercises -- Appendix -- Equivalent expression for the GlueVaR distortion function -- Bijective relationship between heights and weights as parameters for GlueVaR risk measures -- Relationship between GlueVaR and Tail Distortion risk measures -- Bibliography -- Biographies of the authors -- Index.
Description based on publisher supplied metadata and other sources.
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Electronic books.
Guillén, Montserrat.
Santolino, Miguel.
Print version: Belles-Sampera, Jaume Risk Quantification and Allocation Methods for Practitioners Amsterdam : Amsterdam University Press,c2017 9789462984059
ProQuest (Firm)
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=6639843 Click to View
language English
format eBook
author Belles-Sampera, Jaume.
spellingShingle Belles-Sampera, Jaume.
Risk Quantification and Allocation Methods for Practitioners.
Atlantis Studies in Computational Finance and Financial Engineering Series
Intro -- Preface -- Contents -- List of Figures -- List of Tables -- Part I Risk Assessment -- Preliminary concepts on quantitative risk measurement -- Risk measurement - Theory -- First definitions -- Properties for risk measures -- Risk measurement - Practice -- `Liability side' versus `asset side' perspectives -- Some misunderstandings to be avoided in practice -- Exercises -- Data on losses for risk evaluation -- An example on three dimensional data -- Basic graphical analysis of the loss severity distributions -- Quantile estimation -- Examples -- A family of distortion risk measures -- Overview on risk measures -- Distortion risk measures -- A new family of risk measures: GlueVaR -- Linear combination of risk measures -- Subadditivity -- Concavity of the distortion function -- Example of risk measurement with GlueVaR -- Exercises -- GlueVaR and other new risk measures -- Analytical closed-form expressions of GlueVaR -- Illustration: GlueVaR expression for Student t distribution -- Analytical expressions for other frequently used distributions -- The Cornish-Fisher approximation of GlueVaR -- On the relationship between GlueVaR and Tail Distortion risk measures -- On the relationship between GlueVaR and RVaR risk measures -- Example -- Exercises -- Risk measure choice -- Aggregate attitude towards risk -- Local risk attitude -- Application of risk assessment in a scenario involving catastrophic losses -- Calibration of GlueVaR parameters -- Data and Results -- GlueVaR to reflect risk attitudes -- Exercises -- Part II Capital Allocation Problems -- An overview on capital allocation problems -- Main concepts and notation -- Properties of capital allocation principles -- Review of some principles -- The gradient allocation principle -- Other capital allocation principles based on partial contributions -- The excess based allocation principle.
Further reading -- Exercices -- Capital allocation based on GlueVaR -- A capital allocation framework -- The Haircut capital allocation principle -- Proportional risk capital allocation principles using GlueVaR -- Stand-alone proportional allocation principles using GlueVaR -- Proportional allocation principles based on partial contributions using GlueVaR -- An example of risk capital allocation on claim costs -- Exercices -- Capital allocation principles as compositional data -- The simplex and its vectorial and metric structure -- From capital allocation principles to compositional data -- Simplicial concepts applied to capital allocation -- The inverse of a capital allocation -- Ranking capital allocation principles -- Averaging capital allocation principles -- An illustration -- Exercises -- Appendix -- Equivalent expression for the GlueVaR distortion function -- Bijective relationship between heights and weights as parameters for GlueVaR risk measures -- Relationship between GlueVaR and Tail Distortion risk measures -- Bibliography -- Biographies of the authors -- Index.
author_facet Belles-Sampera, Jaume.
Guillén, Montserrat.
Santolino, Miguel.
author_variant j b s jbs
author2 Guillén, Montserrat.
Santolino, Miguel.
author2_variant m g mg
m s ms
author2_role TeilnehmendeR
TeilnehmendeR
author_sort Belles-Sampera, Jaume.
title Risk Quantification and Allocation Methods for Practitioners.
title_full Risk Quantification and Allocation Methods for Practitioners.
title_fullStr Risk Quantification and Allocation Methods for Practitioners.
title_full_unstemmed Risk Quantification and Allocation Methods for Practitioners.
title_auth Risk Quantification and Allocation Methods for Practitioners.
title_new Risk Quantification and Allocation Methods for Practitioners.
title_sort risk quantification and allocation methods for practitioners.
series Atlantis Studies in Computational Finance and Financial Engineering Series
series2 Atlantis Studies in Computational Finance and Financial Engineering Series
publisher Amsterdam University Press,
publishDate 2017
physical 1 online resource (169 pages)
edition 1st ed.
contents Intro -- Preface -- Contents -- List of Figures -- List of Tables -- Part I Risk Assessment -- Preliminary concepts on quantitative risk measurement -- Risk measurement - Theory -- First definitions -- Properties for risk measures -- Risk measurement - Practice -- `Liability side' versus `asset side' perspectives -- Some misunderstandings to be avoided in practice -- Exercises -- Data on losses for risk evaluation -- An example on three dimensional data -- Basic graphical analysis of the loss severity distributions -- Quantile estimation -- Examples -- A family of distortion risk measures -- Overview on risk measures -- Distortion risk measures -- A new family of risk measures: GlueVaR -- Linear combination of risk measures -- Subadditivity -- Concavity of the distortion function -- Example of risk measurement with GlueVaR -- Exercises -- GlueVaR and other new risk measures -- Analytical closed-form expressions of GlueVaR -- Illustration: GlueVaR expression for Student t distribution -- Analytical expressions for other frequently used distributions -- The Cornish-Fisher approximation of GlueVaR -- On the relationship between GlueVaR and Tail Distortion risk measures -- On the relationship between GlueVaR and RVaR risk measures -- Example -- Exercises -- Risk measure choice -- Aggregate attitude towards risk -- Local risk attitude -- Application of risk assessment in a scenario involving catastrophic losses -- Calibration of GlueVaR parameters -- Data and Results -- GlueVaR to reflect risk attitudes -- Exercises -- Part II Capital Allocation Problems -- An overview on capital allocation problems -- Main concepts and notation -- Properties of capital allocation principles -- Review of some principles -- The gradient allocation principle -- Other capital allocation principles based on partial contributions -- The excess based allocation principle.
Further reading -- Exercices -- Capital allocation based on GlueVaR -- A capital allocation framework -- The Haircut capital allocation principle -- Proportional risk capital allocation principles using GlueVaR -- Stand-alone proportional allocation principles using GlueVaR -- Proportional allocation principles based on partial contributions using GlueVaR -- An example of risk capital allocation on claim costs -- Exercices -- Capital allocation principles as compositional data -- The simplex and its vectorial and metric structure -- From capital allocation principles to compositional data -- Simplicial concepts applied to capital allocation -- The inverse of a capital allocation -- Ranking capital allocation principles -- Averaging capital allocation principles -- An illustration -- Exercises -- Appendix -- Equivalent expression for the GlueVaR distortion function -- Bijective relationship between heights and weights as parameters for GlueVaR risk measures -- Relationship between GlueVaR and Tail Distortion risk measures -- Bibliography -- Biographies of the authors -- Index.
isbn 9789048534586
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callnumber-first H - Social Science
callnumber-subject HG - Finance
callnumber-label HG4515
callnumber-sort HG 44515
genre Electronic books.
genre_facet Electronic books.
url https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=6639843
illustrated Not Illustrated
oclc_num 1256821465
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