000 02825nam a22004935i 4500
001 978-3-642-28439-7
003 DE-He213
005 20140220083312.0
007 cr nn 008mamaa
008 120321s2012 gw | s |||| 0|eng d
020 _a9783642284397
_9978-3-642-28439-7
024 7 _a10.1007/978-3-642-28439-7
_2doi
050 4 _aQA273.A1-274.9
050 4 _aQA274-274.9
072 7 _aPBT
_2bicssc
072 7 _aPBWL
_2bicssc
072 7 _aMAT029000
_2bisacsh
082 0 4 _a519.2
_223
100 1 _aKoller, Michael.
_eauthor.
245 1 0 _aStochastic Models in Life Insurance
_h[electronic resource] /
_cby Michael Koller.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2012.
300 _aXI, 219p. 41 illus., 33 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aEAA Series,
_x1869-6929
505 0 _a1. 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 _aThe 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 _aMathematics.
650 0 _aDistribution (Probability theory).
650 0 _aEconomics
_xStatistics.
650 1 4 _aMathematics.
650 2 4 _aProbability Theory and Stochastic Processes.
650 2 4 _aGame Theory, Economics, Social and Behav. Sciences.
650 2 4 _aStatistics for Business/Economics/Mathematical Finance/Insurance.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642284380
830 0 _aEAA Series,
_x1869-6929
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-28439-7
912 _aZDB-2-SMA
999 _c102810
_d102810