000 02699nam a22004218i 4500
001 CR9781107709393
005 20250919142047.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 141103s2014||||enk o ||1 0|eng|d
020 _a9781107709393 (ebook)
020 _z9781107070837 (hardback)
020 _z9781107662889 (paperback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aHG106
_b.G34 2014
082 0 0 _a332.01/51
_223
100 1 _aGagliardini, Patrick,
_d1974-
_eauthor.
245 1 0 _aGranularity theory with applications to finance and insurance /
_cPatrick Gagliardini, Universita della Svizzera Italiana, Switzerland, Christian Gourieroux, CREST (Paris) and University of Toronto.
246 3 _aGranularity Theory with Applications to Finance & Insurance
264 1 _aCambridge :
_bCambridge University Press,
_c2014.
300 _a1 online resource (xvi, 186 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aThemes in modern econometrics
500 _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520 _aThe recent financial crisis has heightened the need for appropriate methodologies for managing and monitoring complex risks in financial markets. The measurement, management, and regulation of risks in portfolios composed of credits, credit derivatives, or life insurance contracts is difficult because of the nonlinearities of risk models, dependencies between individual risks, and the several thousands of contracts in large portfolios. The granularity principle was introduced in the Basel regulations for credit risk to solve these difficulties in computing capital reserves. In this book, authors Patrick Gagliardini and Christian Gouriéroux provide the first comprehensive overview of the granularity theory and illustrate its usefulness for a variety of problems related to risk analysis, statistical estimation, and derivative pricing in finance and insurance. They show how the granularity principle leads to analytical formulas for risk analysis that are simple to implement and accurate even when the portfolio size is large.
650 0 _aFinance
_xMathematical models.
650 0 _aInsurance
_xMathematical models.
700 1 _aGourieroux, Christian,
_d1949-
_eauthor.
776 0 8 _iPrint version:
_z9781107070837
830 0 _aThemes in modern econometrics.
856 4 0 _uhttps://doi.org/10.1017/CBO9781107709393
907 _a.b16846448
_b2020-12-22
_c2020-12-22
942 _n0
998 _a1
_b2020-12-22
_cm
_da
_feng
_genk
_y0
_z.b16846448
999 _c651987
_d651987