1
-
10
of
22
results (0.23 seconds)
Sort By:
-
Credibility Using Copulas
Credibility Using Copulas This paper develops credibility using a longitudinal data framework. In a longitudinal data framework, one might encounter data from a cross-section of risk classes ...- Authors: Edward Frees, PING WANG
- Date: Sep 2008
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Topics: Finance & Investments>Risk measurement - Finance & Investments; Modeling & Statistical Methods>Bayesian methods; Modeling & Statistical Methods>Stochastic models
-
The Distribution of Discounted Compound Renewal Sums
The Distribution of Discounted Compound Renewal Sums This is a presentation from 43rd Actuarial Research Conference ARC, Regina, August 14–16, 2008. This talk will present the moment generating ...- Authors: José Garrido, GHISLAIN LEVEILLE, Ya Fang Wang
- Date: Nov 2008
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Topics: Finance & Investments>Risk measurement - Finance & Investments; Modeling & Statistical Methods>Stochastic models
-
A Loss Reserving Model within the framework of Generalized Linear Models
A Loss Reserving Model within the framework of Generalized Linear Models This research was funded by the Natural Sciences and Engineering Research Council of Canada [NSERC] Discovery Grant ...- Authors: José Garrido, JUN ZHOU
- Date: May 2009
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Topics: Finance & Investments>Risk measurement - Finance & Investments; Modeling & Statistical Methods>Estimation methods; Modeling & Statistical Methods>Stochastic models
-
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 a brief introduction to subexponential behavior and to show ...- 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
-
On a Class of Discrete Time Renewal Risk Models
On a Class of Discrete Time Renewal Risk Models We consider a class of compound renewal risk process with claim waiting times have a discrete Km distribution. The classical compound binomial risk ...- Authors: Shuanming Li
- Date: Sep 2008
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Topics: Finance & Investments>Risk measurement - Finance & Investments; Modeling & Statistical Methods>Stochastic models
-
C3 Phase II – Practical Insights for this Year End
C3 Phase II – Practical Insights for this Year End A discussion of the possible effort required and impacts resulting from the implementation of C3 Phase II for establishing risk-based capital ...- Authors: Timothy J Ruark
- Date: Dec 2005
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context; Technical Skills & Analytical Problem Solving>Problem analysis and definition
- Publication Name: The Financial Reporter
- Topics: Annuities>Capital - Annuities; Enterprise Risk Management>Risk measurement - ERM; Finance & Investments>Capital management - Finance & Investments; Finance & Investments>Risk measurement - Finance & Investments; Financial Reporting & Accounting>Statutory accounting; Modeling & Statistical Methods>Stochastic models; Public Policy
-
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 In the present paper, we propose and investigate a numerical method of computing the probability ...- 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
-
On The Numerical Evaluation of Survival Probabilities
On The Numerical Evaluation of Survival Probabilities This paper introduces a new direction for evaluating numerically survival probabilities pointed out by H. Seal in his book ‘Survival ...- 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
-
Principle-Based Reserves and LTC Insurance Innovation
Principle-Based Reserves and LTC Insurance Innovation Discussion of the movement toward principle-based reserves for LTC insurance. American Academy of Actuaries=AAA;Assumptions;Enterprise risk ...- Authors: Allen J Schmitz
- Date: May 2009
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context; Leadership>Professional network leverage; Strategic Insight and Integration>Strategy development; Technical Skills & Analytical Problem Solving>Incorporate risk management
- Publication Name: Long-Term Care News
- Topics: Enterprise Risk Management>Capital management - ERM; Finance & Investments>Risk measurement - Finance & Investments; Financial Reporting & Accounting>Statutory accounting; Long-term Care>Long-term care insurance; Modeling & Statistical Methods>Stochastic models
-
Non-exponential Bounds on the Tails of Compound Distributions
Non-exponential Bounds on the Tails of Compound Distributions Random sum models with compound distributions are used extensively in modeling of insurance risks. Unfortunately, the compound ...- 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