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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 ...- 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
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Non-exponential Bounds on the Tails of Compound Distributions
Non-exponential Bounds on the Tails of Compound Distributions Random sum models with compound distributions are used extensively in modeling of insurance risks. Unfortunately, the compound ...- Authors: Gordon E Willmot, Xiaodong Sheldon Lin
- Date: Jan 1996
- 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>Stochastic models
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On The Numerical Evaluation of Survival Probabilities
On The Numerical Evaluation of Survival Probabilities This paper introduces a new direction for evaluating numerically survival probabilities pointed out by H. Seal in his book ‘Survival ...- Authors: Marc Goovaerts
- Date: Jan 1980
- 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>Stochastic models
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Demography for Actuarial Students
Demography for Actuarial Students Demography is a very exciting subject. With a simple mathematical model, students can project a country's population forward 25, 59, 75 even 100 years.- Authors: John A Beekman
- Date: Jan 1984
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Publication Name: Actuarial Research Clearing House
- Topics: Demography>Population data; Experience Studies & Data>Mortality; Modeling & Statistical Methods>Markov Chain
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From the Chairperson: Future = Unknown = Risk = Opportunity
From the Chairperson: Future = Unknown = Risk = Opportunity A summary of the activities of the Forecasting & Futurism Section, including research initiatives, participation in Delphi studies ...- Authors: Donald Krouse
- Date: Jul 2012
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Modeling & Statistical Methods>Forecasting
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How to Win an iPad2
How to Win an iPad2 The purpose of this article is to provide a refresher on regression and times series models so that actuaries will feel more comfortable building forecasting models. ;; Risk ...- Authors: Qichun Xu
- Date: Jul 2012
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Modeling & Statistical Methods>Forecasting
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Retirees versus Active Workers: What is the Cost Difference?
Retirees versus Active Workers: What is the Cost Difference? Comparison of healthcare costs for early retirees versus active workers in the same age band. When adjusted for age, there is not a ...- Authors: Kristi Bohn, Sarah Legatt
- Date: May 2011
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context; Technical Skills & Analytical Problem Solving>Problem analysis and definition
- Publication Name: Health Watch
- Topics: Demography>Population data; Modeling & Statistical Methods>Data mining
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Mortality Improvement: The Ultimate Onion
Mortality Improvement: The Ultimate Onion Identifies current trends and considerations when setting the mortality improvement assumption for individual life insurance in the US. Life reinsurance; ...- Authors: Jay Biehl, Edward Hui
- Date: Nov 2018
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context; External Forces & Industry Knowledge>External forces and business performance; Strategic Insight and Integration>Big picture view; Technical Skills & Analytical Problem Solving>Problem analysis and definition
- Publication Name: Reinsurance News
- Topics: Demography>Mortality - Demography; Demography>Longevity; Demography>Population data; Experience Studies & Data>Mortality; Life Insurance>Pricing - Life Insurance; Modeling & Statistical Methods>Forecasting; Predictive Analytics; Reinsurance>Life reinsurance; Reinsurance>General reinsurance
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The Art of Stochastic Simulation in the Financial Reporting World: An Overview of Stochastic Simulation
The Art of Stochastic Simulation in the Financial Reporting World: An Overview of Stochastic Simulation An Overview of Stochastic Simulation modeling techniques and usages Conditional Tail ...- Authors: Ronald Harasym
- Date: Sep 2003
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context; Strategic Insight and Integration; Technical Skills & Analytical Problem Solving>Problem analysis and definition; Technical Skills & Analytical Problem Solving>Process and technique refinement
- Publication Name: The Financial Reporter
- Topics: Enterprise Risk Management>Financial management; Financial Reporting & Accounting; Modeling & Statistical Methods>Simulation; Modeling & Statistical Methods>Stochastic models
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Demutualization Issues
Demutualization Issues From a session at the 2000 Valuation Actuary Symposium held in Washington DC, September 14-15, 2000 In this session the panelists discussed the issues related to the ...- Authors: John B Dinius, William C Koenig, Robert Matczak, Meredith Ratajczak, Barry L Shemin, Stephen White
- Date: Sep 2000
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context; Technical Skills & Analytical Problem Solving>Process and technique refinement
- Topics: Actuarial Profession>Standards of practice; Financial Reporting & Accounting; Modeling & Statistical Methods