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  • Universal Life With Secondary Guarantees: Stochastic Pricing Analysis
    Universal Life With Secondary Guarantees: Stochastic Pricing Analysis This article is based on an excerpt from a Milliman Research Report on universal life insurance with secondary guarantees, ...

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    • Authors: Robert Stone, Andrew Steenman
    • Date: Feb 2012
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Product Matters!
    • Topics: Life Insurance>Secondary guarantees; Life Insurance>Universal life; Modeling & Statistical Methods>Stochastic models
  • Measuring Uncertainty in Loss Reserves
    Measuring Uncertainty in Loss Reserves 1994 SOA Spring Meeting, Orlando. In this session the panel consider the question of uncertainty in loss reserves including discussion of sources and ...

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    • Authors: Spencer M Gluck, Roger M Hayne, Thomas S Wright
    • Date: Apr 1994
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Record of the Society of Actuaries
    • Topics: Health & Disability>Health insurance; Modeling & Statistical Methods>Regression analysis; Modeling & Statistical Methods>Stochastic models
  • Modeling Home Equity Conversion Mortgages
    Modeling Home Equity Conversion Mortgages Many seniors who own houses in the United States have most of their wealth in their houses. Home Equity Conversion Mortgages are designed to allow ...

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    • Authors: Thomas Herzog, THERESA R DVENTI
    • Date: Jan 1990
    • Competency: Results-Oriented Solutions; Technical Skills & Analytical Problem Solving
    • Publication Name: Actuarial Research Clearing House
    • Topics: Annuities>Payout annuities; Finance & Investments; Modeling & Statistical Methods>Stochastic models
  • Some Aspects of Statement of Financial Accounting Standards No. 87
    Some Aspects of Statement of Financial Accounting Standards No. 87 This paper focuses on two aspects of SFAS 87. The first is the availability of the discount rate, and its consequences. The ...

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    • Authors: Daniel Dufresne
    • Date: Jan 1993
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Actuarial Research Clearing House
    • Topics: Modeling & Statistical Methods>Stochastic models; Pensions & Retirement>Pension accounting
  • A General Formula for Option Prices in s Stochastic Volatility Model
    A General Formula for Option Prices in s Stochastic Volatility Model This presentation considers the pricing of European derivatives in a Black-Scholes model with stochastic volatility. The ...

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    • Authors: Daniel Dufresne, Stephen Chin
    • Date: Jul 2009
    • Competency: Technical Skills & Analytical Problem Solving
    • Topics: Finance & Investments; Modeling & Statistical Methods>Stochastic models
  • Multivariate Stochastic Immunization Theory
    Multivariate Stochastic Immunization Theory With this paper, a new theory of immunization is introduced in which the approach is multivariate, and the goal is stochastic in the sense of ...

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    • Authors: Robert Reitano
    • Date: Oct 1993
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Transactions of the SOA
    • Topics: Finance & Investments>Investment strategy - Finance & Investments; Modeling & Statistical Methods>Stochastic models
  • A Handful of Economic Capital Model Observations
    A Handful of Economic Capital Model Observations Commentary on practical observations resulting from constructing and running Economic Capital models. Possible standardization of assumptions and ...

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    • Authors: David M Walczak
    • Date: Nov 2019
    • Competency: Results-Oriented Solutions; Technical Skills & Analytical Problem Solving
    • Publication Name: Risk Management
    • Topics: Modeling & Statistical Methods; Modeling & Statistical Methods>Conditional Tail Expectation; Modeling & Statistical Methods>Modeling efficiency; Modeling & Statistical Methods>Stochastic models
  • Stochastic Embedded Value and Its Use in Risk Measurement and Financial Management: Part 2
    Stochastic Embedded Value and Its Use in Risk Measurement and Financial Management: Part 2 Presented at May 2005 Spring Meeting. Panelists discuss the use of stochastic embedded value ...

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    • Authors: Hubert B Mueller, Michael Hughes, Maria Mercedes Torres-Jorda, Penny Coulthard
    • Date: May 2005
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Record of the Society of Actuaries
    • Topics: Finance & Investments>Embedded value; Modeling & Statistical Methods>Stochastic models
  • The Valuation of Interest-Senstive Cash Flows Using the Symbolic Methed
    The Valuation of Interest-Senstive Cash Flows Using the Symbolic Methed This paper introduces the symbolic valuation, a stochastic valuation which allows flexible interest rate and cash flow ...

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    • Authors: Matthew Clayton Modisett
    • Date: Jan 1992
    • Competency: Results-Oriented Solutions; Technical Skills & Analytical Problem Solving
    • Publication Name: Actuarial Research Clearing House
    • Topics: Annuities>Fixed annuities; Finance & Investments; Modeling & Statistical Methods>Stochastic models
  • PBR Simplified Methods Project
    PBR Simplified Methods Project Summary of the SOA research project on PBR Simplified Methods. Describes the multi-risk scenario generator, central estimate assumptions, assumption objectivity ...

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    • Authors: Mark Birdsall
    • Date: Apr 2019
    • Competency: Results-Oriented Solutions; Technical Skills & Analytical Problem Solving
    • Publication Name: The Financial Reporter
    • Topics: Life Insurance>Reserves - Life Insurance; Life Insurance>Secondary guarantees; Life Insurance>Term life; Life Insurance>Universal life; Life Insurance>Whole life; Modeling & Statistical Methods>Conditional Tail Expectation; Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Estimation methods; Modeling & Statistical Methods>Modeling efficiency; Modeling & Statistical Methods>Scenario generation; Modeling & Statistical Methods>Sensitivity testing; Modeling & Statistical Methods>Stochastic models