Announcement: SOA congratulates the new ASAs and CERAs for April 2024.

Announcement: SOA releases March 2024 FAM, FAML, and FAMS Exams passing candidate numbers.

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  • 2013 Long-Term Care Insurance Experience Study Data Request Documents
    2013 Long-Term Care Insurance Experience Study Data Request Documents The Society of Actuaries' Long-Term Care Insurance Experience Committee is soliciting information on long-term care ...

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    • Authors: Long-Term-Care Experience Committee
    • Date: Jun 2013
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context
    • Topics: Experience Studies & Data; Long-term Care
  • A Refreshed Look at Assumption Development
    A Refreshed Look at Assumption Development Hot topics and emerging trends in assumption development in US life insurance companies Assumptions;Audits;Predictive modeling;PBR;Product development ...

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    • Authors: Min Mercer, Michael Kwan Yu Chan
    • Date: Jun 2015
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context; Leadership>Thought leadership; Professional Values>Public interest representation
    • Publication Name: Product Matters!
    • Topics: Enterprise Risk Management>Governance; Experience Studies & Data; Financial Reporting & Accounting>Statutory accounting; Predictive Analytics
  • Soundbites from the American Academy of Actuaries’ Health Practice Council
    Soundbites from the American Academy of Actuaries’ Health Practice Council Updates on the efforts of the Academy’s health practice council. its work groups and task forces, to educate and ...

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    • Authors: Heather E Jerbi, Tim M Mahony
    • Date: May 2010
    • Competency: Communication>Written communication; External Forces & Industry Knowledge>Actuarial theory in business context; Leadership>Influence; Professional Values>Public interest representation
    • Publication Name: Health Watch
    • Topics: Actuarial Profession>Professional associations; Experience Studies & Data; Public Policy; Public Policy; Social Insurance>Medicare
  • Loss-of-Time Health Insurance Reserves Based on the 1964 Commissioners Disability Table
    Loss-of-Time Health Insurance Reserves Based on the 1964 Commissioners Disability Table This report discusses the use of a basic table of net annual claim costs for hospital and surgical expense ...

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    • Authors: E Paul Barnhart, Abraham Hazelcorn, Anthony J Houghton, Gerald A Levy, James Olsen, Eduard H Minor, Stuart F Conrod
    • Date: Oct 1965
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context; Technical Skills & Analytical Problem Solving
    • Publication Name: Transactions of the SOA
    • Topics: Experience Studies & Data; Health & Disability>Disability insurance
  • Assessing Prescription Opioid Risk with Predictive Analytics
    Assessing Prescription Opioid Risk with Predictive Analytics We highlight a new approach leveraging predictive analytics to identify high risk and rising risk opioid users for more effective ...

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    • Authors: Joseph Boschert, Andrew Gaffner, Barbara Collier
    • Date: Oct 2018
    • Competency: External Forces & Industry Knowledge>Actuarial methods in business operations; External Forces & Industry Knowledge>Actuarial theory in business context; Leadership>Thought leadership; Professional Values>Practice expertise; Strategic Insight and Integration>Effective decision-making; Strategic Insight and Integration>Influence decisions; Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Problem analysis and definition; Technical Skills & Analytical Problem Solving>Process and technique refinement
    • Publication Name: Health Watch
    • Topics: Demography>Population data; Experience Studies & Data; Health & Disability>Health information technology; Modeling & Statistical Methods>Data mining; Predictive Analytics; Technology & Applications>Analytics and informatics; Health & Disability>Electronic medical record
  • SVD of Weighted or Missing Data
    SVD of Weighted or Missing Data Matrix decomposition techniques are used to find main features of a dataset. These features can be used to describe the data or to find clusters of objects. The ...

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    • Authors: Brian Holland
    • Date: Jul 2015
    • Competency: External Forces & Industry Knowledge>Actuarial methods in business operations; External Forces & Industry Knowledge>Actuarial theory in business context
    • Publication Name: Predictive Analytics and Futurism Newsletter
    • Topics: Experience Studies & Data