ISSN 1008-2204
CN 11-3979/C
XIAO Yan-ying, QIU Wan-hua. Summary of Reinsurance Research[J]. Journal of Beijing University of Aeronautics and Astronautics Social Sciences Edition, 2003, 16(1): 42-46.
Citation: XIAO Yan-ying, QIU Wan-hua. Summary of Reinsurance Research[J]. Journal of Beijing University of Aeronautics and Astronautics Social Sciences Edition, 2003, 16(1): 42-46.

Summary of Reinsurance Research

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  • Received Date: November 30, 2001
  • Published Date: March 24, 2003
  • Accordingto the huge potential of the insurance market and its requirement of reinsurance , this paper generalized the main contents and analyzing methods , which will provide an overviewof reinsurance for readers interested inthis field .
  • [1] Shuan Wang , Jan Dhaene . Comonotonicity Correlation Order and PremiumPrinciples [J] . Insurance : Mathematics and Economics ,1998 ,(22) :235- 242 .
    [2] Kaas R Van Hessctager O. Ordering ClaimSize Distributions and Mixed Position Probabilities[J] .Insurance : Mathematics & Economics,1995 ,(17) :193-201 .
    [3] Muller A. Ordering of Risks , A Comparison Study Via Stop-loss Transform[J] . Insurance : Mathematics &Economics ,1996 , (17) :215- 222 .
    [4] David C M Dickson . Relative Reinsurance Retention Levels [J] .ASTIN, 1997 ,27(2) :207- 227 .
    [5] Depret O. Gerber H. On Convex Principles of PremiumCalculation[J] . Insurance : Mathematics & Economics ,1985 ,(4) :179-189 .
    [6] Hojgaard B, Taksar M. Optimal Proportional Reinsurance Policies for Diffusion Models [J] . Scandinavian Actuarial Journal , 1997a ,(2) :166-180 .
    [7] Hurliman W. On Fair PremiumPrinciples and Pareto-optimal Riskneutral Portfolio Valuation [J] . Transaction ICA Business , 1995 ,(1) : 189- 208 .
    [8] Hurliman W. A Note on Experiencing Rating , Rei nsurance and PremiumPrinciples[J] . Insurance : Mathematics & Economics ,1994 ,(14) :197-204 .
    [9] Wang S , Panjer H H. Further Results on the Stability of Recursive Formulas [J] . Transaction ICA Business , 1998 ,(2) : 325- 338 .
    [10] Rene Schnieper . Portfolio Opti mization[J] . ASTIN, 2000 ,30(1) :195-248 .
    [11] Ana J Mata .Pricing Excess of Loss Eeinsurance with Reinstatements[J] . ASTIN, 2000 ,30(2) :349-368 .
    [12] Shaun Wang . On Two-sided Compound Binomial Cistributions[J] .Insurance : Mathematics and Economics ,1995 ,(17) :35- 41 .
    [13] Maria de Lourdes , Centeno . Excess of Loss Reinsurance and the Probability of Ruin in Finite Horizon , Insurance : Mathematics &Economics ,1997 ,27(1) :59- 70 .
    [14] 汉斯·U·盖伯. 数学风险引论[M] . 成世学, 严颖译. 北京: 世界图书出版社,1997 .5 .
    [15] Lina Xu , Dennis L Sricher , Kenneth O kortanek . Bounds for Stoploss Premium under Restrictions on I- divergence [J] . Insurance :Mathematics & Economics ,1998 ,23(2) :119-139 . [16 ] Jun Cai , Jose Garrido . Two-sided Bounds for Ruin Probability When the Adjustment Coefficient Does Not Exist [J] . Scandinavia Actuarial Journal , 1999 ,(1) :80-92 .
    [17] Kremer E. A General Bound for the Net premiumof the Largest Claims Reinsurers[J] . ASTIN,1988B,(18) :69-78 .
    [18] Kremer E. Rating of Largest Clai ms and ECOMOR Reinsurance Treaties for Large Protfolioes[J] . ASTIN,1982 ,(13) :47- 56 .
    [19] Kremer E. An Ssymptotic Formulas for the Net Premi umof Some Reinsurance treaties [J] . Scandinavia Actuarial Journal , 1984 ,(13) :11- 22 .
    [20] Kremer E. An Ssymptotic Formulas for the Net Premi umof Some Reinsurance treaties
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