111
-
118
of
118
results (0.5 seconds)
Sort By:
-
2003 Stochastic Modeling Symposium
2003 Stochastic Modeling Symposium Announcement of an upcoming 2003 Stochastic Modeling Symposium. ... Symposium on Stochastic Modeling for Variable Annuity/Segregated Fund Investment Guarantees, and (2) ...- Authors: Martin Roy
- Date: Jul 2003
- Competency: External Forces & Industry Knowledge; Technical Skills & Analytical Problem Solving
- Publication Name: Risks & Rewards
- Topics: Modeling & Statistical Methods
-
Regulatory Expectations from Asset Adequacy Analysis
move the discussion along, I'll throw out on the table a rule to follow as to when the actuary should ... particularly related to the proprietary nature of the mortality assumptions. Not too surprisingly, there were ...- Authors: J Duran, John F Gies, Larry M Gorski, Mark D Peavy
- Date: Jan 1994
- Competency: External Forces & Industry Knowledge
- Topics: Finance & Investments>Investments; Modeling & Statistical Methods; Public Policy
-
The Investment Models of a Finnish Pension Company
Antero Ranne (continued on page 20, column 1) Editors Note: This article is reprinted by permission of the ... the April 1999 edition of Vector, the associations quarterly publication. It also appeared in the Transactions ...- Authors: Antero Ranne
- Date: Aug 1999
- Competency: External Forces & Industry Knowledge
- Publication Name: Risks & Rewards
- Topics: Global Perspectives; Modeling & Statistical Methods; Pensions & Retirement
-
Subgroup Survey Results
47 Liability decrements: non-elective (e.g. mortality, morbidity) 2% 1 8% 4 81% 39 8% 4 48 Liability ... 45 Liability decrements: non-elective (e.g. mortality, morbidity) 17% 8 83% 38 46 Liability decrements: ...- Authors: Society of Actuaries
- Date: Nov 2019
- Competency: External Forces & Industry Knowledge
- Topics: Modeling & Statistical Methods
-
A view Of Planning - Sorcery To Computers
References 1. Collins, Rus.~rIi .\I., and Hill, J. S. “Sirnu. lation Xludels for Life Insurance”. IO ... has not already been intensively s[udicd in order to achieve the s&faction of some suc- ccss in your ...- Authors: James C Hickman
- Date: Jun 1968
- Competency: External Forces & Industry Knowledge; Strategic Insight and Integration
- Publication Name: The Actuary Magazine
- Topics: Modeling & Statistical Methods
-
Session 099: Managing Cyber Risk
Session 099: Managing Cyber Risk There is widespread acknowledgement in the insurance industry that ... plausible” • Tail, i.e., extreme or systemic event(s) • Causal analysis, incl. drivers, triggers and ...- Authors: Anthony Dardis, Calvin Weeks, Matt Solomon, Chris Beck
- Date: Feb 2020
- Competency: External Forces & Industry Knowledge
- Topics: Enterprise Risk Management; Enterprise Risk Management>Operational risks; Modeling & Statistical Methods
-
A Review Of The I.B.M. Symposium on Operations Research In The Insurance Industry
A Review Of The I.B.M. Symposium on Operations Research In The Insurance Industry The author summaries ... projections but also probability ranges. First, a table is de- scribed which expresses the probability ...- Authors: Burton Jay
- Date: Apr 1968
- Competency: External Forces & Industry Knowledge
- Publication Name: The Actuary Magazine
- Topics: Modeling & Statistical Methods
-
An Actuarial Model of Excess of Policy Limits Losses
An Actuarial Model of Excess of Policy Limits Losses This paper proposes using a classic actuarial ... structure in which all the policies in our limits table have the same value for p. An Actuarial Model ...- Authors: Neil M Bodoff
- Date: Feb 2014
- Competency: External Forces & Industry Knowledge
- Topics: Modeling & Statistical Methods