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  • Complex Liability Modeling Issues
    Complex Liability Modeling Issues This presentation is a Teaching Session, number 30TS, from the 2002 Valuation Actuary Symposium, held September 19-20 in Lake Buena Vista, FL. The panelists ...

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    • Authors: Craig D Morrow, Patricia Louise Renzi
    • Date: Sep 2002
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context
    • Topics: Modeling & Statistical Methods>Stochastic models
  • Immunization Under Stochastic Models of the Term Structure
    Immunization Under Stochastic Models of the Term Structure The purpose of this paper is to survey some new results concerning the term structure of interest rates and discuss actuarial ...

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    • Authors: Phelim Boyle
    • Date: Jan 1980
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context
    • Publication Name: Actuarial Research Clearing House
    • Topics: Finance & Investments>Capital management - Finance & Investments; Finance & Investments>Investment policy; Modeling & Statistical Methods>Stochastic models
  • How to Prevent the Big Mistake
    How to Prevent the Big Mistake This article deals with enterprise risk management and how the techniques contained within the discipline can help prevent unforeseen large mistakes in strategy, ...

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    • Authors: Edward Betteto
    • Date: Mar 2003
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context; Strategic Insight and Integration>Big picture view; Technical Skills & Analytical Problem Solving>Incorporate risk management; Technical Skills & Analytical Problem Solving>Problem analysis and definition
    • Publication Name: Reinsurance News
    • Topics: Enterprise Risk Management; Finance & Investments>Asset liability management; Finance & Investments>Portfolio management - Finance & Investments; Finance & Investments>Risk measurement - Finance & Investments; Modeling & Statistical Methods>Sensitivity testing; Modeling & Statistical Methods>Stochastic models
  • CIA Task Force on Segregated Fund Investment Guarantees excerpt from the Canadian Institute of Actuaries
    CIA Task Force on Segregated Fund Investment Guarantees excerpt from the Canadian Institute of Actuaries A discussion of methods used to determine the liability of segregated fund or separate ...

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    • Authors: 107929_firstname Canadian Institute of Actuaries
    • Date: Jul 2001
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context
    • Publication Name: Risks & Rewards
    • Topics: Modeling & Statistical Methods>Stochastic models
  • Analysis of the Ruin Probabilty Using Laplace Transforms and Karamata Tauberian Theorem
    Analysis of the Ruin Probabilty Using Laplace Transforms and Karamata Tauberian Theorem In this note, the asymptotic behavior of the probability of ruin is derived by means of infinitesimal ...

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    • Authors: CORINA DANA CONSTANTINESCU, Enrique Thomann
    • 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
  • Stochastic Simulation for C3 Risk:A Statistical Review
    Stochastic Simulation for C3 Risk:A Statistical Review In 2003, the American Academy of Actuaries Life Capital Adequacy Subcommittee LCAS published a set of 10,000 stochastic scenarios that was ...

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    • Authors: Richard Wendt
    • Date: Feb 2005
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context
    • Publication Name: Risks & Rewards
    • Topics: Modeling & Statistical Methods>Simulation; Modeling & Statistical Methods>Stochastic models
  • Bridging Theory and Practice
    Bridging Theory and Practice Two breakout sessions were held. Their goal was to explore ways in which researchers and practitioners could be brought closer together. The following summaries were ...

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    • Authors: Stuart Klugman
    • Date: Jan 2000
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context
    • Publication Name: Actuarial Research Clearing House
    • Topics: Actuarial Profession>Professional development; Modeling & Statistical Methods>Stochastic models
  • Simplified Cash Flow Testing of Traditional Participating Whole Life Insurance
    Simplified Cash Flow Testing of Traditional Participating Whole Life Insurance This is authors' Fellowship Credit Research Paper. This paper will develop a model for cash flow testing ...

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    • Authors: Dorothy Andrews
    • Date: Jan 1996
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context
    • Publication Name: Actuarial Research Clearing House
    • Topics: Life Insurance>Reserves - Life Insurance; Life Insurance>Whole life; Modeling & Statistical Methods>Stochastic models
  • Inflated-Parameter Family of Generalized Power Series Distributions And Their Application In Analysis Of Overdispersed Insurance Data
    Inflated-Parameter Family of Generalized Power Series Distributions And Their Application In Analysis Of Overdispersed Insurance Data During the last decade, a vast activity had been observed in ...

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    • Authors: Nikolai Kolev, Leda Minkova, Plamen Neytchev
    • Date: Jan 2000
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context
    • Publication Name: Actuarial Research Clearing House
    • Topics: Actuarial Profession>Professional development; Modeling & Statistical Methods>Stochastic models
  • Ruin Theory and Credit Risk
    Ruin Theory and Credit Risk This paper builds a new risk model for a firm which is sensitive to its credit quality. A modified Jarrow, Lando and Turnball model [Markov Chain model] is used to ...

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    • Authors: Hailiang Yang
    • Date: Jan 2001
    • 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>Markov Chain; Modeling & Statistical Methods>Stochastic models