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02772nam a22005175i 4500 |
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978-3-319-08129-8 |
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20151204172342.0 |
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140806s2014 gw | s |||| 0|eng d |
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|a 9783319081298
|9 978-3-319-08129-8
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|a 10.1007/978-3-319-08129-8
|2 doi
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|d GrThAP
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|a HB135-147
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|a KF
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|a MAT003000
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|a BUS027000
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|a 519
|2 23
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|a Aubin, Jean-Pierre.
|e author.
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|a Tychastic Measure of Viability Risk
|h [electronic resource] /
|c by Jean-Pierre Aubin, Luxi Chen, Olivier Dordan.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2014.
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300 |
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|a XVII, 126 p. 70 illus., 68 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Part I Description, Illustration and Comments of the Results -- The Viabilist Portfolio Performance and Insurance Approach -- Technical and Quantitative Analysis of Tubes -- Uncertainty on Uncertainties -- Part II Mathematical Proofs -- Why Viability Theory? A Survival Kit -- General Viabilist Portfolio Performance and Insurance Problem.
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|a 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.
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650 |
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|a Mathematics.
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|a Finance.
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|a Economics, Mathematical.
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|a Probabilities.
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650 |
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|a Macroeconomics.
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|a Mathematics.
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2 |
4 |
|a Quantitative Finance.
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650 |
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|a Macroeconomics/Monetary Economics//Financial Economics.
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650 |
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|a Probability Theory and Stochastic Processes.
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650 |
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|a Finance, general.
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700 |
1 |
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|a Chen, Luxi.
|e author.
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700 |
1 |
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|a Dordan, Olivier.
|e author.
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
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|t Springer eBooks
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776 |
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|i Printed edition:
|z 9783319081281
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856 |
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|u http://dx.doi.org/10.1007/978-3-319-08129-8
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-SMA
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950 |
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|a Mathematics and Statistics (Springer-11649)
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