000 02578nam a2200385 i 4500
001 CR9781139020251
003 UkCbUP
005 20240905181851.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 141103s2014||||enk o ||1 0|eng|d
020 _a9781139020251 (ebook)
020 _z9780521830485 (hardback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aHG8781
_b.B675 2014
082 0 0 _a368/.01
_223
100 1 _aBølviken, Erik,
_eauthor.
245 1 0 _aComputation and modelling in insurance and finance /
_cErik Bølviken.
246 3 _aComputation & Modelling in Insurance & Finance
264 1 _aCambridge :
_bCambridge University Press,
_c2014.
300 _a1 online resource (xxvi, 685 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aInternational series on actuarial science
500 _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505 0 _aIntroduction -- Part I. Tools for risk analysis -- Part II. General insurance -- Part III. Life insurance and financial risk -- Appendix A. Random variables: principal tools -- Appendix B. Linear algebra and stochastic vectors -- Appendix C. Numerical algorithms: a third tool.
520 _aFocusing on what actuaries need in practice, this introductory account provides readers with essential tools for handling complex problems and explains how simulation models can be created, used and re-used (with modifications) in related situations. The book begins by outlining the basic tools of modelling and simulation, including a discussion of the Monte Carlo method and its use. Part II deals with general insurance and Part III with life insurance and financial risk. Algorithms that can be implemented on any programming platform are spread throughout and a program library written in R is included. Numerous figures and experiments with R-code illustrate the text. The author's non-technical approach is ideal for graduate students, the only prerequisites being introductory courses in calculus and linear algebra, probability and statistics. The book will also be of value to actuaries and other analysts in the industry looking to update their skills.
650 0 _aInsurance
_xMathematical models.
650 0 _aFinance
_xMathematical models.
776 0 8 _iPrint version:
_z9780521830485
830 0 _aInternational series on actuarial science.
856 4 0 _uhttps://doi.org/10.1017/CBO9781139020251
942 _2ddc
_cEB
999 _c8904
_d8904