Stochastic Models in Life Insurance

The book provides a sound mathematical base for life insurance mathematics and applies the underlying concepts to concrete examples. Moreover the models presented make it possible to model life insurance policies by means of Markov chains. Two chapters covering ALM and abstract valuation concepts on...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Koller, Michael (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Σειρά:EAA Series,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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020 |a 9783642284397  |9 978-3-642-28439-7 
024 7 |a 10.1007/978-3-642-28439-7  |2 doi 
040 |d GrThAP 
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050 4 |a QA274-274.9 
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082 0 4 |a 519.2  |2 23 
100 1 |a Koller, Michael.  |e author. 
245 1 0 |a Stochastic Models in Life Insurance  |h [electronic resource] /  |c by Michael Koller. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2012. 
300 |a XI, 219 p. 41 illus., 33 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a EAA Series,  |x 1869-6929 
505 0 |a 1. A general life insurance model -- 2. Stochastic processes -- 3. Interest rate -- 4. Cash flows and the mathematical reserve -- 5. Difference equations and differential equations -- 6. Examples and problems from applications -- 7. Hattendorff's Theorem -- 8. Unit-linked policies -- 9. Policies with stochastic interest rate -- 10. Technical analysis -- 11. Abstract valuation -- 12. Policyholder bonus mechanism -- A. Notes on stochastic integration -- B. Examples -- C. Mortality rates in Germany -- D. Mortality rates in Switzerland -- E. Java code for the calculation of the Markov model -- References -- Notation -- Index. 
520 |a The book provides a sound mathematical base for life insurance mathematics and applies the underlying concepts to concrete examples. Moreover the models presented make it possible to model life insurance policies by means of Markov chains. Two chapters covering ALM and abstract valuation concepts on the background of Solvency II complete this volume. Numerous examples and a parallel treatment of discrete and continuous approaches help the reader to implement the theory directly in practice. 
650 0 |a Mathematics. 
650 0 |a Game theory. 
650 0 |a Probabilities. 
650 0 |a Statistics. 
650 1 4 |a Mathematics. 
650 2 4 |a Probability Theory and Stochastic Processes. 
650 2 4 |a Game Theory, Economics, Social and Behav. Sciences. 
650 2 4 |a Statistics for Business/Economics/Mathematical Finance/Insurance. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783642284380 
830 0 |a EAA Series,  |x 1869-6929 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-28439-7  |z Full Text via HEAL-Link 
912 |a ZDB-2-SMA 
950 |a Mathematics and Statistics (Springer-11649)