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Surplus Dependent Risk Models
corresponding piecewise deterministic Markov process S(t) with infinitesimal generator, fo°°[f(x y) f(x)lP(dy)] ... probability of ruin is the same for the process S(t) and U(t), the latter being the classical compound ...- Authors: José Garrido, Wojciech Szatzschneider
- Date: Jan 1995
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Publication Name: Actuarial Research Clearing House
- Topics: Finance & Investments>Risk measurement - Finance & Investments
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Non-exponential Bounds on the Tails of Compound Distributions
Pr (X=n)=p~, n = 0 ,1 ,2 , . . . . (1) Let S = X 1 + X 2 -1- . . . + X N (2) We are interested ... in estimating the tail probability (~,(x) = Pr (S > x), x > O, 3) which has applications in many ...- Authors: Gordon E Willmot, Xiaodong Sheldon Lin
- Date: Jan 1996
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Publication Name: Actuarial Research Clearing House
- Topics: Finance & Investments>Risk measurement - Finance & Investments; Modeling & Statistical Methods>Stochastic models
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Conclusions From Michigan Studies of Social Security Financing
emerging future. OASDI is the largest insurance and annuity organization in the world. In 1994, outgo for ... excess of $58.1 billion which added to the Trust Fund(s). The actuarial profession and the public arc awakening ...- Authors: Cecil J Nesbitt, Alexa L Nerdrum, SARAH ELIZABETH CLARK
- Date: Jan 1996
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Publication Name: Actuarial Research Clearing House
- Topics: Economics>Financial economics; Social Insurance>Social Security
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Manipulating Lagrangian Distributions and Associated Compound Distributions with Maple
associated compound distributions with Maple Rohana S. Ambagaspit iya Department of Mathematics and Statistics ... interested. 358 2.1 Po isson Lagrang ian d i s t r ibut ions These distributions are derived by ...- Authors: Rohana Ambagaspitiya
- Date: Jan 1995
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Publication Name: Actuarial Research Clearing House
- Topics: Finance & Investments>Portfolio management - Finance & Investments; Modeling & Statistical Methods>Stochastic models
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A Numerical Method for Computing the Probability Distribution of Total Risk of Portfolio
A Numerical Method for Computing the Probability Distribution of Total Risk of Portfolio ... method of computing the probability distribution of S. Inversion of the Laplace transform moment generating ...- Authors: Rohan J Dalpatadu, Andy Tsang, Ashok K Singh
- Date: Jan 1996
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Publication Name: Actuarial Research Clearing House
- Topics: Finance & Investments>Risk measurement - Finance & Investments; Modeling & Statistical Methods>Stochastic models
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Decision Making Under Conflicting Criteria for Actuarial Assumptions: An Expected Utility Model
or losses. The actuary's "best estimate" of C is u in that the actuary believes that, if C ~ is defined ... The actuary's utility function can be denoted U(W-p, [(~-C[,r), where W represents his or her wealth ...- Authors: Arnold Shapiro, Lisa Lipowski Posey
- Date: Jan 1995
- Competency: Professional Values>Practice expertise; Strategic Insight and Integration>Effective decision-making
- Publication Name: Actuarial Research Clearing House
- Topics: Actuarial Profession>Best practices; Actuarial Profession>Management skills
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Premium Calculations by Transformed Distributions
For a class 7~ of all risks, a premium principle u is a mapping 7r : T~ ---~ R, which means that ... The zero util ity principle : Definit ion 7 Let u(.) be a utility function. The 7r(X, f ) calculated ...- Authors: Abdul Sharif
- Date: Jan 1996
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Publication Name: Actuarial Research Clearing House
- Topics: Finance & Investments>Risk measurement - Finance & Investments; Modeling & Statistical Methods>Stochastic models
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On Estimation of Parameters of the Pareto Distribution
)-(6) are repeated until 1, < desired tolerance. 4. S IMULAT ION EXAMPLES In this section, x~e present ... Generate u¢ ,u: ,...,t6, from a unitbrm distribution over the interval (0. l). Translbrm u, to generate ...- Authors: Rohan J Dalpatadu, Ashok K Singh
- Date: Jan 1996
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Publication Name: Actuarial Research Clearing House
- Topics: Finance & Investments>Risk measurement - Finance & Investments; Modeling & Statistical Methods>Estimation methods
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Apportionable Premiums
Apportionable Premiums This is a sequel to author's earlier paper on Installment Premiums. This paper ...- Authors: Richard (Dick) L London
- Date: Jan 1982
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Publication Name: Actuarial Research Clearing House
- Topics: Finance & Investments>Risk measurement - Finance & Investments
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Credibility with Incomplete Information in Group Insurance
INCOMPI~ETE INFORMATION IN GROUP INSURANCE (TH&RI,ES S. FUHRER ,~BSI'R &C1 In experience rating, insurers ... wtlerc ()< ('gl and (. is indcpcndcn/ o1 li~c .V, s. (' is thc Psi]doll] ratio of ob~L'rvcd Io tolal clailllS ...- Authors: Charles S Fuhrer
- Date: Jan 1996
- Competency: External Forces & Industry Knowledge>Actuarial methods in business operations
- Publication Name: Actuarial Research Clearing House
- Topics: Finance & Investments>Risk measurement - Finance & Investments; Technology & Applications>Analytics and informatics