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  • An Empirical-Based Approach to Optimal Reinsurance

    An Empirical-Based Approach to Optimal Reinsurance This is the abstract for the presentation on an empirical-based approach to optimal reinsurance. Abstract; 14561 7/30/2010 12:39:00 PM ...

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    • Authors: Ken Seng Tan, Chengguo Weng
    • Date: Jul 2010
  • Quasi-Monte Carlo Methods in Numerical Finance

    Quasi-Monte Carlo Methods in Numerical Finance This paper introduces and illustrates a new version of the Monte Carlo method that has attractive properties for the numerical valuation of ...

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    • Authors: Phelim Boyle, Ken Seng Tan, Corwin Joy
    • Date: Jan 1999
    • Competency: Technical Skills & Analytical Problem Solving
    • Topics: Modeling & Statistical Methods>Simulation
  • An Actuarial Framework for Modeling Loss Cost Ratio’s in Crop Insurance: Trend Testing, Data Detrending, and Pricing, Using an Erlang Mixture Distribution

    An Actuarial Framework for Modeling Loss Cost Ratio’s in Crop Insurance: Trend Testing, Data Detrending, and Pricing, Using an Erlang Mixture Distribution This abstract describes a study that ...

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    • Authors: Ken Seng Tan, Lysa Porth, Wenjun Zhu
    • Date: Dec 2012
    • Competency: External Forces & Industry Knowledge
  • Coherent Distortion Risk Measures in Portfolio Selection

    Coherent Distortion Risk Measures in Portfolio Selection The theme of this presentation relates to solving portfolio selection problems using linear and fractional programming. Two key ...

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    • Authors: Ken Seng Tan, Mingbin Feng
    • Date: Jan 2012
    • Competency: Technical Skills & Analytical Problem Solving
    • Topics: Finance & Investments; Modeling & Statistical Methods; Reinsurance
  • The SunGard/IAFE Financial Engineer of 2005

    The SunGard/IAFE Financial Engineer of 2005 Article from Risk Management Newsletter, July 2006, Issue 8 announces the SunGard/IAFE Financial Engineer of the Year for 2005. This award ...

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    • Authors: Ken Seng Tan
    • Date: Jul 2006
    • Publication Name: Risk Management
  • Quasi-Monte Carlo Methods in Numerical Finance

    Quasi-Monte Carlo Methods in Numerical Finance This is the abstract of the paper Quasi-Monte Carlo Methods in Numerical Finance. This paper introduces and illustrates a new version of the Monte ...

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    • Authors: Ken Seng Tan
    • Date: Jan 1996
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context
    • Publication Name: Actuarial Research Clearing House
    • Topics: Finance & Investments>Derivatives; Modeling & Statistical Methods>Simulation
  • On Pricing and Hedging the No-Negative-Equity-Gaurantee in Equity Release Mechanisms

    On Pricing and Hedging the No-Negative-Equity-Gaurantee in Equity Release Mechanisms This is an abstract article about equity release mechanisms by Siu Hang Li, Mary Hardy and Ken Seng Tan. ARCH ...

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    • Authors: Ken Seng Tan, Mary Hardy, Siu-Hang Li
    • Date: Nov 2008
  • An Empirical-Based Approach for Optimal Reinsurance

    An Empirical-Based Approach for Optimal Reinsurance It is well-known that reinsurance can be an effective risk management technique for an insurer. An appropriate use of reinsurance reduces the ...

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    • Authors: Ken Seng Tan, Chengguo Weng
    • Date: Aug 2009
    • Competency: Technical Skills & Analytical Problem Solving>Incorporate risk management
    • Topics: Modeling & Statistical Methods; Reinsurance
  • Report on Mortality Improvement Scales for Canadian Insured Lives

    Report on Mortality Improvement Scales for Canadian Insured Lives This paper reports on a detailed statistical analysis of mortality improvement for the Canadian population and for the Canadian ...

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    • Authors: Ken Seng Tan, Mary Hardy, Siu-Hang Li
    • Date: Mar 2008
  • Chief Risk Officer — The New Domain for Actuaries

    Chief Risk Officer — The New Domain for Actuaries Article from Risk Management Newsletter, July 2005, Issue 5 that highlights a new frontier for actuaries unfolding in the insurance industry ...

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    • Authors: Ken Seng Tan, Dorothy Andrews
    • Date: Jul 2005
    • Publication Name: Risk Management