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Risk Implications of Unemployment and Under-Employment
Risk Implications of Unemployment and Under-Employment This report studies the ... improve labor market conditions and maintain the market’s stability. Unemployment insurance;Public finance;Withdrawals ...- Authors: Kailan Shang
- Date: Dec 2015
- Competency: External Forces & Industry Knowledge
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Extreme Events for Insurers: Correlation, Models and Mitigation Study
... 61 6.1 Step-by-Step Block Maxima Example: U.S. Tornado Deaths ................................ ... ......... 61 6.2 Hidden Markov Model Example: U.S. Earthquake Frequency ..........................- Authors: Kailan Shang, Marc Alexandre Vincelli
- Date: Apr 2015
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Enterprise Risk Management
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Predictive Analytics: A Primer for Pension Actuaries
using a simple case study on relative mortality prediction at the U.S. county level using demographic and ... applications is conducted, with a focus on mortality modeling, pension plan risk transfer, liability ...- Authors: David M Cantor, Kailan Shang
- Date: Oct 2021
- Competency: External Forces & Industry Knowledge
- Topics: Pensions & Retirement
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Pension Plan Embedded Option Valuation
principal if some catastrophic event occurs. See U.S. General Accounting Office, “Catastrophe Insurance ... certain price (exercise price K) at prescribed date(s). A European call option allows the holder to exercise ...- Authors: Kailan Shang
- Date: Jun 2013
- Competency: External Forces & Industry Knowledge
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Liability-Driven Investment
required contributions have increased materially. Mortality improvement is another challenge DB plans face ... third party such as an insurance company by buying annuity products. Some companies make additional contributions ...- Authors: Kailan Shang
- Date: Apr 2019
- Competency: External Forces & Industry Knowledge
- Topics: Finance & Investments; Pensions & Retirement
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Deep Learning for Liability-Driven Investment
that describes the optimal value V given a state s as the sum of current payoff (𝑃(𝑠, 𝑎)) of optimal ... 𝑇(𝑠, 𝑎) is the new state given previous state s and action a: 𝑉(𝑠) = max 𝑎 {𝑃(𝑠, 𝑎) + 𝛾𝑉(𝑇(𝑠 ...- Authors: Kailan Shang
- Date: Jun 2021
- Competency: External Forces & Industry Knowledge
- Topics: Finance & Investments
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Applying Fuzzy Logic to Risk Assessment and Decision-Making
risk level and expected new business volume. Table 1 lists five products that have different levels ... Actuaries, All Rights Reserved Page 19 of 59 Table 1. Sample Misconduct Risk Monitoring 2.3 Alternative ...- Authors: Kailan Shang
- Date: Nov 2013
- Competency: External Forces & Industry Knowledge
- Topics: Enterprise Risk Management; Modeling & Statistical Methods
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Macroeconomics-Based Economic Scenario Generation
input data, the models or the scenarios. The U.S. economy is used as an example to demonstrate the ... scenarios can be compared to historical data as in Table E.1 or market predictions to assess their reasonableness ...- Authors: Kailan Shang
- Date: Apr 2020
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Finance & Investments
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Enhancing the Security of Defined Contribution Plans
level can be roughly calculated as shown in Table 1. Table 1. DC Plan Information Public Pension Replacement ... DC plan account value is converted to a life annuity. An efficient and liquid market already exists ...- Authors: Kailan Shang, Hua Su
- Date: Sep 2016
- Competency: External Forces & Industry Knowledge
- Topics: Pensions & Retirement>Defined contribution and 401k plans
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Effective ERM Stakeholder Engagement
Casualty Actuarial Society, and Society of Actuaries Table 1 illustrates an evaluation of internal stakeholders ... concern, and relevant knowledge and experience. Table 1 Sample ERM Stakeholder Analysis Stakeholder ...- Authors: Kailan Shang
- Date: Mar 2018