31
-
40
of
48
results (0.47 seconds)
Sort By:
-
A Stochastic Investment Model for Actuarial Use
ct)lumn of Table 1 lists the complete set of parameters for the Full Standard Basis, and Table 2 shows ... results will be compared with those shown in such a table. 5.8. Mean rate of inflation (GQ): The observed ...- Authors: A D Wilkie
- Date: Oct 1999
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Finance & Investments>Investments; Modeling & Statistical Methods>Stochastic models
-
The Distribution of Aggregate Life Insurance Claims
The Distribution of Aggregate Life Insurance Claims This paper demonstrates the calculation of ... Assumptions;Life insurance;Mortality assumption;Mortality rates=Mortality tables=Death rates ;National ...- Authors: Thomas Edwalds
- Date: Sep 2008
- Competency: External Forces & Industry Knowledge>Actuarial methods in business operations
- Topics: Experience Studies & Data>Mortality; Life Insurance>Claims - Life Insurance; Modeling & Statistical Methods>Stochastic models
-
Modeling Capital Market with Financial Signal Processing
Modeling Capital Market with Financial Signal Processing This paper discusses the theoretic ... market uncertainty and volatility highlighting the S&P 500 as an example. Arbitrage;Capital markets=Stock ...- Authors: Jenher Jeng
- Date: Sep 2008
- Competency: External Forces & Industry Knowledge>Actuarial methods in business operations
- Topics: Economics>Financial markets; Modeling & Statistical Methods>Stochastic models
-
An Alternative Option Pricing Model
An Alternative Option Pricing Model A European call option pricing model similar to the Black-Scholes ... future. However, unlike Black-Scholes, the market's risk preference is recognized through a parameter ...- Authors: Joseph D Marsden
- Date: Jan 1996
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Publication Name: Actuarial Research Clearing House
- Topics: Finance & Investments>Derivatives; Modeling & Statistical Methods>Stochastic models
-
A Stochastic Model for CCRCs
feasibility studies; • provide appropriate rates of mortality, morbidity, or life expectancy for the commu- ... commu- nity's use; and * perform mortality, morbidity, and withdrawal experience studies. These and other ...- Authors: Bruce Jones
- Date: Jan 1995
- Competency: External Forces & Industry Knowledge>Actuarial methods in business operations
- Publication Name: Actuarial Research Clearing House
- Topics: Modeling & Statistical Methods>Stochastic models; Pensions & Retirement>Retirement risks; Pensions & Retirement>Risk management
-
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
-
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
-
Inference for a Leptokurtic Symmetric Family of Distributions Represented by the Difference of Two Gamma Variates
random variable centered at 0 with scale paramter s is 1 1 + t2s2 . Hence, the classical Laplace distribution ... function equal to f(z;λ = 1, θ = s2) = 1 2s e−|z|/s. When λ = 1/n, n ∈ N, and θ = n, Kotz, Kozubowski ...- Authors: Louis G Doray, Maciej Augustyniak
- Date: Nov 2010
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Topics: Modeling & Statistical Methods>Stochastic models; Technology & Applications>Business intelligence
-
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
-
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