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Sibirskii Zhurnal Industrial'noi Matematiki, 2011, Volume 14, Number 2, Pages 45–54 (Mi sjim665)  

A credit risk estimate for long-term financial flows basing on statistical modeling

S. S. Artem'evab, Yu. I. Ashchepkovab, M. A. Yakunina

a Institute of Computational Mathematics and Mathematical Geophysics SB RAS, Novosibirsk, RUSSIA
b Novosibirsk State University, Novosibirsk, RUSSIA
References:
Abstract: We consider a mathematical model of long-term financial flows as the sum of a random number of random variables. For the particular case of flows in retirement funds we obtain distributions of gains and losses at a given moment in the distant future. We present the results of simulations using the statistical modeling of financial flows. We describe a program for estimating the credit risk of a retirement fund for various development scenarios of the world and regional economies.
Keywords: payment flow, sum of random variables, probability density, statistical modeling.
Received: 20.08.2010
Revised: 06.12.2010
Bibliographic databases:
Document Type: Article
UDC: 519.24+519.86
Language: Russian
Citation: S. S. Artem'ev, Yu. I. Ashchepkova, M. A. Yakunin, “A credit risk estimate for long-term financial flows basing on statistical modeling”, Sib. Zh. Ind. Mat., 14:2 (2011), 45–54
Citation in format AMSBIB
\Bibitem{ArtAshYak11}
\by S.~S.~Artem'ev, Yu.~I.~Ashchepkova, M.~A.~Yakunin
\paper A~credit risk estimate for long-term financial flows basing on statistical modeling
\jour Sib. Zh. Ind. Mat.
\yr 2011
\vol 14
\issue 2
\pages 45--54
\mathnet{http://mi.mathnet.ru/sjim665}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=2962153}
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