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Employee Benefit Plans - Insurance
Employee Benefit Plans - Insurance 1959 SOA Regional Meetings in Atlanta and San Francisco. These panel discussions reviewed procedures, techniques and vehicles used to provide benefits to ...- Authors: Society of Actuaries
- Date: Jun 1959
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Transactions of the SOA
- Topics: Health & Disability>Health insurance; Life Insurance>Group plans - Life Insurance; Pensions & Retirement
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The 1971 Individual Annuity Mortality Table
The 1971 Individual Annuity Mortality Table This paper proposes a new mortality table as a minimum reserve standard for individual annuities - the 1971 Individual Annuity Mortality Table, ...- Authors: Harold Cherry
- Date: Nov 1971
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Transactions of the SOA
- Topics: Annuities>Individual annuities; Experience Studies & Data>Mortality
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Copula Models of Economic Capital for Life Insurance Companies
Copula Models of Economic Capital for Life Insurance Companies This report examines the use of a copula approach to build a predictive model to estimate the amount of economic capital a life ...- Authors: Arkady Shemyakin
- Date: Jun 2019
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Enterprise Risk Management; Life Insurance
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Simulating Health Behavior – Physician Network Model
Simulating Health Behavior – Physician Network Model This project shows how to use agent-based models to simulate the behaviors of agents in complex health systems. Modeling efficiency;Health ...- Authors: Alan Mills
- Date: Jun 2013
- Competency: External Forces & Industry Knowledge; Technical Skills & Analytical Problem Solving
- Topics: Health & Disability>Health care
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Extreme Events for Insurers: Correlation, Models and Mitigation Study
Extreme Events for Insurers: Correlation, Models and Mitigation Study A primer on extreme event modeling and mitigation for practitioners, it covers the complete cycle of extreme event risk ...- Authors: Kailan Shang, Marc Alexandre Vincelli
- Date: Apr 2015
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Enterprise Risk Management
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Chapter 6 - DYNACAN: Canadian Microsimulation Model for Public Pension Analysis
Chapter 6 - DYNACAN: Canadian Microsimulation Model for Public Pension Analysis Chapter 6 of the Models for Retirement Policy Analysis. This chapter describes DYNACAN, a dynamic microsimulation ...- Authors: Society of Actuaries, Joseph M Anderson
- Date: Sep 1998
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Public Policy
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International compendium
International compendium This project shows how to use agent-based models to simulate the behaviors of agents in complex health systems. Modeling efficiency;Health factors;Health information ...- Authors: Alan Mills
- Date: Jun 2013
- Competency: External Forces & Industry Knowledge; Technical Skills & Analytical Problem Solving
- Topics: Health & Disability>Health care
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Credibility Theory Practices - Bühlmann Empirical Bayesian Method Lapse Examples
Credibility Theory Practices - Bühlmann Empirical Bayesian Method Lapse Examples Authored by a MIB Solutions team of Tom Rhodes, Stuart Klugman, Marianne Purushotham and Stacy Gill, the ...- Authors: Society of Actuaries
- Date: Dec 2009
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Life Insurance; Modeling & Statistical Methods
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Mortality Comparisons and Risk Exposures in the Older Age U.S. Financial Services Market
Mortality Comparisons and Risk Exposures in the Older Age U.S. Financial Services Market This report summarizes the results of a mortality and pricing survey. It indicates significant ...- Authors: William H Bowman, Roger Freeman
- Date: Dec 2011
- Competency: External Forces & Industry Knowledge; Technical Skills & Analytical Problem Solving
- Topics: Annuities>Pricing - Annuities; Life Insurance>Pricing - Life Insurance
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Estimation of Stochastic Volatility Models by Simulated Maximum Likelihood Method
Estimation of Stochastic Volatility Models by Simulated Maximum Likelihood Method The Stochastic Volatility, SV, model is used for capturing the empirical properties of financial time series.- Authors: EUNJI CHOI
- Date: Jan 2004
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Finance & Investments