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  • Deep Learning for Liability-Driven Investment
    Deep Learning for Liability-Driven Investment The Society of Actuaries’ Committee on Finance Research is pleased to make available a research report that develops a framework for applying deep ...

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    • Authors: Kailan Shang
    • Date: Jun 2021
    • Competency: External Forces & Industry Knowledge
    • Topics: Finance & Investments
  • Contingent Liquidity Swap: A Prearranged Source of Liquidity - Abstract
    Contingent Liquidity Swap: A Prearranged Source of Liquidity - Abstract Description * This paper proposes a new type of financial derivative named contingent liquidity swap (CLS) to address the ...

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    • Authors: Kailan Shang, Jingjing Shang
    • Date: Mar 2015
  • Risk Implication of Unemployment and Underemployment
    Risk Implication of Unemployment and Underemployment This article discusses how unemployment and underemployment information can help improve economic forecasts, insurance assumption setting and ...

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    • Authors: Kailan Shang
    • Date: Apr 2016
    • Competency: Technical Skills & Analytical Problem Solving>Incorporate risk management
    • Publication Name: Risk Management
    • Topics: Economics>Macroeconomics
  • Wavelet-Based Equity VaR Estimation
    Wavelet-Based Equity VaR Estimation Wavelet models are used to analyze risk by time and frequency and provide richer information than time series models. VaR 8/2/2019 12:00:00 AM ...

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    • Authors: Kailan Shang
    • Date: Aug 2019
    • Competency: Technical Skills & Analytical Problem Solving>Innovative solutions
    • Topics: Enterprise Risk Management>Risk measurement - ERM
  • Extreme Events for Insurers: Correlation, Models and Mitigation Study
    Extreme Events for Insurers: Correlation, Models and Mitigation Study A primer on extreme event modeling and mitigation for practitioners, it covers the complete cycle of extreme event risk ...

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    • Authors: Kailan Shang, Marc Alexandre Vincelli
    • Date: Apr 2015
    • Competency: Technical Skills & Analytical Problem Solving
    • Topics: Enterprise Risk Management
  • Social Media Analysis of Catastrophic Response: Twitter Data
    Social Media Analysis of Catastrophic Response: Twitter Data This abstract describes a report that studies the social media response to three extreme tornado outbreaks in the Midwest United ...

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    • Authors: R. Dale Hall, Steven Siegel, Kailan Shang
    • Date: Mar 2017
    • Competency: External Forces & Industry Knowledge
    • Topics: General Insurance (Property & Casualty)
  • Macroeconomics Based Economic Scenario Generation
    Macroeconomics Based Economic Scenario Generation This article introduces a non-traditional type of economic scenario generator that relies on dynamic stochastic general equilibrium (DSGE) models ...

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    • Authors: Kailan Shang
    • Date: Apr 2020
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Risk Management
    • Topics: Economics; Enterprise Risk Management
  • Practical Application of “Do Jumps Matter in the Long Term? A Tale of Two Horizons”
    Practical Application of “Do Jumps Matter in the Long Term? A Tale of Two Horizons” The essay describes an application of “Do Jumps Matter in the Long Term? A Tale of Two Horizons,” by ...

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    • Authors: Mathieu Boudreault, Kailan Shang, David M Cantor
    • Date: Sep 2021
    • Competency: External Forces & Industry Knowledge
    • Topics: Actuarial Profession
  • Effective ERM Stakeholder Engagement
    Effective ERM Stakeholder Engagement This Effective Enterprise Risk Management (ERM) Stakeholder Engagement report examines practices for gaining acceptance of a proposed ERM strategy. The ...

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    • Authors: Kailan Shang
    • Date: Mar 2018
  • Risk Implications of Unemployment and Underemployment Brief
    Risk Implications of Unemployment and Underemployment Brief The report studies the impact of unemployment and underemployment on insurance business, introducing concepts, theoretical background, ...

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    • Authors: Kailan Shang
    • Date: Sep 2016
    • Competency: External Forces & Industry Knowledge
    • Topics: Pensions & Retirement>Risk management