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Tychastic measure of viability risk
This book presents a forecasting mechanism of the price intervals for deriving the SCR (solvency capital requirement) eradicating the risk during the exercise period on one hand, and measuring the risk by computing the hedging exit time function associating with smaller investments the date until wh...
Autores principales: | , , |
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Lenguaje: | eng |
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Springer
2014
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-08129-8 http://cds.cern.ch/record/1952389 |
_version_ | 1780944316247572480 |
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author | Aubin, Jean-Pierre Chen, Luxi Dordan, Olivier |
author_facet | Aubin, Jean-Pierre Chen, Luxi Dordan, Olivier |
author_sort | Aubin, Jean-Pierre |
collection | CERN |
description | This book presents a forecasting mechanism of the price intervals for deriving the SCR (solvency capital requirement) eradicating the risk during the exercise period on one hand, and measuring the risk by computing the hedging exit time function associating with smaller investments the date until which the value of the portfolio hedges the liabilities on the other. This information, summarized under the term “tychastic viability measure of risk” is an evolutionary alternative to statistical measures, when dealing with evolutions under uncertainty. The book is written by experts in the field and the target audience primarily comprises research experts and practitioners. |
id | cern-1952389 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2014 |
publisher | Springer |
record_format | invenio |
spelling | cern-19523892021-04-21T20:52:21Zdoi:10.1007/978-3-319-08129-8http://cds.cern.ch/record/1952389engAubin, Jean-PierreChen, LuxiDordan, OlivierTychastic measure of viability riskMathematical Physics and MathematicsThis book presents a forecasting mechanism of the price intervals for deriving the SCR (solvency capital requirement) eradicating the risk during the exercise period on one hand, and measuring the risk by computing the hedging exit time function associating with smaller investments the date until which the value of the portfolio hedges the liabilities on the other. This information, summarized under the term “tychastic viability measure of risk” is an evolutionary alternative to statistical measures, when dealing with evolutions under uncertainty. The book is written by experts in the field and the target audience primarily comprises research experts and practitioners.Springeroai:cds.cern.ch:19523892014 |
spellingShingle | Mathematical Physics and Mathematics Aubin, Jean-Pierre Chen, Luxi Dordan, Olivier Tychastic measure of viability risk |
title | Tychastic measure of viability risk |
title_full | Tychastic measure of viability risk |
title_fullStr | Tychastic measure of viability risk |
title_full_unstemmed | Tychastic measure of viability risk |
title_short | Tychastic measure of viability risk |
title_sort | tychastic measure of viability risk |
topic | Mathematical Physics and Mathematics |
url | https://dx.doi.org/10.1007/978-3-319-08129-8 http://cds.cern.ch/record/1952389 |
work_keys_str_mv | AT aubinjeanpierre tychasticmeasureofviabilityrisk AT chenluxi tychasticmeasureofviabilityrisk AT dordanolivier tychasticmeasureofviabilityrisk |