Risk Quantification and Allocation Methods for Practitioners.

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Bibliographic Details
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
Online Access:
Physical Description:1 online resource (169 pages)
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245 1 0 |a Risk Quantification and Allocation Methods for Practitioners. 
250 |a 1st ed. 
264 1 |a Amsterdam :  |b Amsterdam University Press,  |c 2017. 
264 4 |c ©2017. 
300 |a 1 online resource (169 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Atlantis Studies in Computational Finance and Financial Engineering Series 
505 0 |a 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. 
505 8 |a 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. 
588 |a Description based on publisher supplied metadata and other sources. 
590 |a Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.  
655 4 |a Electronic books. 
700 1 |a Guillén, Montserrat. 
700 1 |a Santolino, Miguel. 
776 0 8 |i Print version:  |a Belles-Sampera, Jaume  |t Risk Quantification and Allocation Methods for Practitioners  |d Amsterdam : Amsterdam University Press,c2017  |z 9789462984059 
797 2 |a ProQuest (Firm) 
830 0 |a Atlantis Studies in Computational Finance and Financial Engineering Series 
856 4 0 |u https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=6639843  |z Click to View