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Stochastic Investment Models: Unit Roots, Cointegration, State Space and Garch Models for Australian Data
Stochastic Investment Models: Unit Roots, Cointegration, State Space and Garch Models for Australian Data The main aim of this paper is to apply some of the techniques of modern time series and ...- Authors: Michael Sherris, Ben Zehnwirth, Leanna Tedesco
- Date: Jan 1997
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Actuarial Research Clearing House
- Topics: Modeling & Statistical Methods>Stochastic models
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Projection and Statistical Modeling of Mortality at Late Age Q&A
Projection and Statistical Modeling of Mortality at Late Age Q&A Transcript of the Q&A period from Session 6A: Projection and Statistical Modeling of Mortality at Late Age ...- Authors: Society of Actuaries
- Date: Jan 2008
- Competency: Technical Skills & Analytical Problem Solving>Process and technique refinement
- Topics: Experience Studies & Data>Mortality; Global Perspectives; Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Stochastic models
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Does Anyone Here Speak Greek? Hedging Your Equity-Indexed Products
Does Anyone Here Speak Greek? Hedging Your Equity-Indexed Products From a session at the Spring regional meeting of the Society of Actuaries held in Atlanta, Georgia, May 24-25, 1999 ...- Authors: Anson Glacy, Francis Sabatini, Boris Brizeli, Scott Houghton, Kevin P Guckian, Henning Hasle, THOMAS K BAUER
- Date: May 1999
- Competency: Technical Skills & Analytical Problem Solving>Problem analysis and definition
- Publication Name: Record of the Society of Actuaries
- Topics: Enterprise Risk Management>Portfolio management - ERM; Enterprise Risk Management>Risk measurement - ERM; Modeling & Statistical Methods>Stochastic models
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Horses for Courses
Horses for Courses Explores the open vs. closed systems debate with regards to actuarial modeling and exposes the over-simplification. Valuable for anyone who uses models. stochastic models; ...- Authors: Van Beach
- Date: Oct 2017
- Competency: External Forces & Industry Knowledge>Actuarial methods in business operations; Leadership>Change management; Results-Oriented Solutions>Actionable recommendations; Strategic Insight and Integration>Big picture view; Strategic Insight and Integration>Strategy development; Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Problem analysis and definition
- Publication Name: CompAct
- Topics: Modeling & Statistical Methods>Asset modeling; Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Dynamic simulation models; Modeling & Statistical Methods>Forecasting; Modeling & Statistical Methods>Modeling efficiency; Modeling & Statistical Methods>Simulation; Modeling & Statistical Methods>Stochastic models; Modeling & Statistical Methods>Value at risk - Modeling & Statistical Methods; Technology & Applications>Analytics and informatics; Technology & Applications>Business intelligence; Technology & Applications>Computer science; Technology & Applications>Data warehousing; Technology & Applications>Software
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More Efficient Monte Carlo Simulations for Mortality Assumption Testing
More Efficient Monte Carlo Simulations for Mortality Assumption Testing More Efficient Monte Carlo Simulations for Mortality Assumption Testing Monte Carlo simulation;Mortality ...- Authors: Douglas Robbins
- Date: Jun 2003
- Competency: Technical Skills & Analytical Problem Solving>Process and technique refinement
- Publication Name: The Financial Reporter
- Topics: Life Insurance>Reserves - Life Insurance; Modeling & Statistical Methods>Modeling efficiency; Modeling & Statistical Methods>Simulation; Modeling & Statistical Methods>Stochastic models
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Inference for a Leptokurtic Symmetric Family of Distributions Represented by the Difference of Two Gamma Variates
Inference for a Leptokurtic Symmetric Family of Distributions Represented by the Difference of Two Gamma Variates In this paper, we introduce a family of leptokurtic symmetric distributions ...- Authors: Louis G Doray, Maciej Augustyniak
- Date: Nov 2010
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Topics: Modeling & Statistical Methods>Stochastic models; Technology & Applications>Business intelligence
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Arithmetic vs. Geometric Mean Returns
Arithmetic vs. Geometric Mean Returns Discussion of the appropriate use of geometric versus arithmetic average returns to use in a stochastic interest rate generator to be equivalent to a ...- Authors: Douglas Doll
- Date: Apr 2003
- Competency: Technical Skills & Analytical Problem Solving>Process and technique refinement
- Publication Name: Product Matters!
- Topics: Modeling & Statistical Methods>Scenario generation; Modeling & Statistical Methods>Stochastic models
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The Actuary Vol. 11, No. 2 Book Review - Two Stochastic Processes by John A. Beekman
The Actuary Vol. 11, No. 2 Book Review - Two Stochastic Processes by John A. Beekman This article is a book review of “Two Stochastic Processes,” by John A. Beekman. The author of this article ...- Authors: Richard W Ziock
- Date: Feb 1977
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Publication Name: The Actuary Magazine
- Topics: Modeling & Statistical Methods>Stochastic models
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Development of a Simulation-based Model to Quantify the Degree of a Bank’s Liquidity Risk
Development of a Simulation-based Model to Quantify the Degree of a Bank’s Liquidity Risk 2011 Enterprise Risk Management Symposium, Chicago. This study investigates whether simulation-based ...- Authors: Sadi Bin Asad Farooqui
- Date: Mar 2011
- Competency: External Forces & Industry Knowledge; Results-Oriented Solutions; Technical Skills & Analytical Problem Solving
- Topics: Enterprise Risk Management; Global Perspectives; Modeling & Statistical Methods>Stochastic models; Public Policy
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A Stochastic Investment Model
A Stochastic Investment Model The purpose of this paper is to provide a method for calculating special contingency reserves for investment losses. The method is derived by first building a ...- Authors: John A Beekman
- Date: Jan 1980
- Competency: Results-Oriented Solutions
- Publication Name: Transactions of the SOA
- Topics: Finance & Investments; Modeling & Statistical Methods>Stochastic models