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Stochastic Modeling in Health Insurance
2005, Society of Actuaries Note: The chart(s) referred to in the text can be downloaded at: http://handouts ... can always model inflation or something else, mortality or anything, by a random variable. What's inflation ...- Authors: Armand Yambao, Jonathan Hendrickson, Edward McEllin
- Date: Jun 2005
- Competency: Technical Skills & Analytical Problem Solving>Process and technique refinement
- Publication Name: Record of the Society of Actuaries
- Topics: Modeling & Statistical Methods>Stochastic models
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An Alternative to Capital Allocation
it to evaluate the impact of changes in an insurer’s operations by allocating capital to individual lines ... failure of the methodology to account for a firm’s changing levels of risk under various strategies.- Authors: TOM MATTHEW MCINTYRE, Dan Isaac
- Date: May 2007
- Competency: Technical Skills & Analytical Problem Solving>Incorporate risk management; Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Process and technique refinement
- Publication Name: Actuarial Practice Forum
- Topics: Enterprise Risk Management>Capital management - ERM; Finance & Investments>Economic capital; Modeling & Statistical Methods>Conditional Tail Expectation; Modeling & Statistical Methods>Stochastic models
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Capital and Hedge Modeling for Variable Annuities
Society of Actuaries Note: The chart(s) referred to in the text can be found at http://handouts ... Dutch and Swiss statutory capital initiatives. The U.S. statute, SCL2, is just beginning and AUSTI Guideline ...- Authors: Hubert B Mueller, Application Administrator, Ulrich Stengele
- Date: Jan 2005
- Competency: Technical Skills & Analytical Problem Solving>Process and technique refinement
- Topics: Finance & Investments>Capital management - Finance & Investments; Finance & Investments>Economic capital; Modeling & Statistical Methods>Stochastic models
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June Webinar Topic: Sensitivity Testing and Setting Margins, Plus a Fully Stochastic PBR Method
experience assumption, normally in the form of a table of decrement rates 2. Experience study data for ... ratio between the observed experience and the table from number 1 3. When experience study data are ...- Authors: Mark Birdsall
- Date: Sep 2017
- Competency: Professional Values>Practice expertise; Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Process and technique refinement
- Publication Name: Small Talk
- Topics: Life Insurance>Reserves - Life Insurance; Modeling & Statistical Methods>Scenario generation; Modeling & Statistical Methods>Sensitivity testing; Modeling & Statistical Methods>Stochastic models
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Implementing the Longstaff-Schwartz Model
credibility is about 10^s (within perhaps one half an order of magnitude) and s is dimensionality, we see ... interpolation of estimated bond prices. H = UΛU’ where, U:= matrix of eigenvectors, the first four principal ...- Authors: L SS
- Date: Oct 2002
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Publication Name: Risks & Rewards
- Topics: Modeling & Statistical Methods>Stochastic models
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Stochastic Optimization Techniques for Pricing Callable Bonds: Continuous Time Approach
bond CB and its counterpart regular Bond B s with sinking fund S. Assume that the schedule of sinking fund ... and Ps -price of bond B s . Then Optimization Problem I P, = rain P b s ,S This fact explains why ...- Authors: Mark Saksonov
- Date: Jan 1996
- Competency: External Forces & Industry Knowledge>Actuarial methods in business operations; Technical Skills & Analytical Problem Solving>Innovative solutions
- Publication Name: Actuarial Research Clearing House
- Topics: Finance & Investments>Derivatives; Modeling & Statistical Methods>Stochastic models
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An Overview of Probabilistic Fuzzy Systems -- Some Preliminary
− ≥ ∈ . Other MF classes, such as the S-shaped and reverse-S-shaped, which are discussed below, can ... References Almeida, R. J., Baştürk, N., Kaymak, U., Milea, V. (2012) "A multi-covariate semiparametric ...- Authors: Arnold Shapiro, Dabuxilatu Wang
- Date: Apr 2018
- Competency: External Forces & Industry Knowledge
- Topics: Modeling & Statistical Methods>Stochastic models
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Beware stochastic model risk!
staple of actuarial work. In the life insurance and annuity business, they are often used for hedging of long-term ... stochastic model and fit the IS SU E 74 A U G U ST 2 01 9 4 | AUGUST 2019 RISKS & REWARDS ...- Authors: Stephen Strommen
- Date: Sep 2019
- Competency: Professional Values; Technical Skills & Analytical Problem Solving
- Publication Name: Risks & Rewards
- Topics: Modeling & Statistical Methods; Modeling & Statistical Methods>Scenario generation; Modeling & Statistical Methods>Simulation; Modeling & Statistical Methods>Stochastic models
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How to Prevent the Big Mistake
of those entities that possess guaranteed mortality death bene- fit (GMDB) risk have been well documented; ... regulatory require- ment. It can be argued that the U.S. indus- try’s troubles with GMDB started with enterprising ...- Authors: Edward Betteto
- Date: Mar 2003
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context; Strategic Insight and Integration>Big picture view; Technical Skills & Analytical Problem Solving>Incorporate risk management; Technical Skills & Analytical Problem Solving>Problem analysis and definition
- Publication Name: Reinsurance News
- Topics: Enterprise Risk Management; Finance & Investments>Asset liability management; Finance & Investments>Portfolio management - Finance & Investments; Finance & Investments>Risk measurement - Finance & Investments; Modeling & Statistical Methods>Sensitivity testing; Modeling & Statistical Methods>Stochastic models
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Multivariate Dependence Modeling Using Pair-Copulas
Kendall’s τ is given by τ(X,Y) = 4 ∫∫ [0,1]2 C(u, v) dC(u, v) − 1. (6) Theorem 4. Let X and Y be continuous ... man’s ρs is given by ρs(X,Y) = 12 ∫∫ [0,1]2 uv dC(u, v) − 3. (7) 4. The Pair-Copula Construction The ...- Authors: Doris Y Schirmacher, Ernesto Schirmacher
- Date: May 2009
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Topics: Actuarial Profession>Professional development; Enterprise Risk Management>Financial management; Modeling & Statistical Methods>Stochastic models