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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
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Pricing of Guaranteed Products for Defined Benefit Pension Funds
Pricing of Guaranteed Products for Defined Benefit Pension Funds This paper discusses mathematical modeling and pricing of 'Stable Value' financial products offered to pension plan ...- Authors: Mark Saxonov
- Date: Jan 2006
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Pensions & Retirement>Pension investments & asset liability management
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Report of the Society of Actuaries Older Age Underwriting Practices Survey Subcommittee
Report of the Society of Actuaries Older Age Underwriting Practices Survey Subcommittee This report presents the results of a survey conducted by the Older Age Underwriting Practices Survey ...- Authors: Society of Actuaries
- Date: Jul 2007
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Life Insurance>Underwriting - Life Insurance
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Predicting Group Long Term Disability Recovery and Mortality Rates using Tree Models
Predicting Group Long Term Disability Recovery and Mortality Rates using Tree Models Tree models have been found to provide a good fit to group long term disability recovery and mortality rates.- Authors: Mervyn Kopinsky
- Date: Aug 2017
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Health & Disability
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Chapter 11 PIMS Pension Insurance Modeling System
Chapter 11 PIMS Pension Insurance Modeling System Chapter 11 from the Models for Retirement Policy Analysis. PIMS is a microsimulation model that produces a distribution of PBGC’s exposure over a ...- Authors: Society of Actuaries, Joseph M Anderson
- Date: Oct 1999
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Public Policy
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Chapter 9 - SSASIM Social Security Policy Simulation Model
Chapter 9 - SSASIM Social Security Policy Simulation Model Chapter 9 of the Models for Retirement Policy Analysis. This chapter describes SSAIM, which is a policy simulation model of the Old Age ...- Authors: Society of Actuaries, Joseph M Anderson
- Date: Mar 1999
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Public Policy
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An Economic Analysis of Life Insurance Company Expenses
An Economic Analysis of Life Insurance Company Expenses This paper estimates the acquisition and maintenance costs associated with life policies as a function of the amount of insurance and ...- Authors: DAN H SEGAL
- Date: Aug 2000
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Life Insurance>Pricing - Life Insurance; Life Insurance>Expenses - Life Insurance
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Analysis of Asset Spread Benchmarks
Analysis of Asset Spread Benchmarks This report studies the various benchmarks for analyzing the option-adjusted spreads of the major fixed income asset classes of life insurance companies. In ...- Authors: Society of Actuaries
- Date: Apr 2008
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Finance & Investments; Life Insurance>Reserves - Life Insurance
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Credibility Theory Practices - Limited Fluctuation Method Mortality Examples
Credibility Theory Practices - Limited Fluctuation Method Mortality Examples Authored by a MIB Solutions team of Tom Rhodes, Stuart Klugman, Marianne Purushotham and Stacy Gill, the report ...- Authors: Society of Actuaries
- Date: Dec 2009
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Life Insurance; Modeling & Statistical Methods
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Report On Pricing Using Market Consistent Embedded Value (MCEV)
Report On Pricing Using Market Consistent Embedded Value (MCEV) This report explains the concept and construction of the Market Consistent Embedded Value (MCEV) measure, as well as its usefulness ...- Authors: Zohair Motiwalla, David Wang, Novian Junus, Society of Actuaries
- Date: Jul 2012
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Life Insurance