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Theory of Stochastic Mortality and Interest Rates
of Stochastic Mortality and Interest Rates Statistical properties of interest, annuity and insurance ... insurance functions are examined when mortality and interest are treated as having a random component. Several ...- Authors: Harry H Panjer, UNKNOWN David Bellhouse
- Date: Aug 1978
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Publication Name: Actuarial Research Clearing House
- Topics: Experience Studies & Data>Mortality; Finance & Investments>Risk measurement - Finance & Investments; Modeling & Statistical Methods>Stochastic models
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A Proposed Unified Valuation System
A Proposed Unified ... stochastic modeling of risk use to illustrate the S-curve approach to valuation, but more importantly ... information. Annuities;Risk-based capital=RBC; 796 1/1/2000 12:00:00 AM ...- Authors: David Sandberg
- Date: Jan 2000
- 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 The Numerical Evaluation of Survival Probabilities
|i x Till- equation satisfied by the probability U(w,t) surviving at least t timo intervals given that ... be written down as follows : U(w,t) « F(w + (1 + n)t,t) - (1 + n) /q U (o , t - t ) f (w + (1 + n)T,x)dT ...- Authors: Marc Goovaerts
- Date: Jan 1980
- 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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Tight Approximation of Basic Characteristics of Classical and Non-Classical Surplus Processes
Tight Approximation of Basic Characteristics of Classical and Non-Classical Surplus Processes We propose asymptotically correct two-sided ... Assumptions;Stochastic models;Risk theory; 804 1/1/2000 12:00:00 AM ...- Authors: Vladimir Kalashnikov
- Date: Jan 2000
- 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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The Financial Implications of Finite Ruin Theory
The Financial Implications of Finite Ruin Theory An insurance company starts with an initial ... stockholders. What remains is the following year’s surplus. The process continues. This paper describes ...- Authors: Glenn Meyers
- Date: Jan 1986
- 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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Risk Premiums and Their Applications
Risk Premiums and Their Applications Je®rey S. Pai I. H. ASPER SCHOOL OF BUSINESS University of Manitoba ... ¦(n)(u) = E[f(X ¡ u)+gn]; u ¸ 0; n = 1; 2; ¢ ¢ ¢ ; (1) where (x¡ u)+ = 8><>: 0; for x · u;x¡ u; for ...- Authors: Jeffrey S Pai
- Date: Jan 2001
- 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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Asymptotics In The Subexponential Case
Asymptotics In The Subexponential Case This is a summary of the presentation given during the ARC Conference. Its purpose was to give ... the actuarial literature. Risk theory; 800 1/1/2000 12:00:00 AM ...- Authors: DIEGO HERNANDEZRANGEL
- Date: Jan 2000
- 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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Martingales and Ruin Probability
and then use it to give a short proof of Lundb(ng s inequality. Theorem 1.1. Let X = (X,,)n~r be a sub-martingale ... E(X~ +) < E(iXN]). (1) A.P( ,nax X,, > A) < E(XN : u<,<N o _ < , , < N - - - - _ _ - - - - - - ...- Authors: Gordon E Willmot, Hailiang Yang
- 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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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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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