An empirical comparison of some experimental designs for the valuation of large variable annuity portfolios
From MaRDI portal
Publication:727671
DOI10.1515/demo-2016-0022zbMath1382.91046OpenAlexW2925147768MaRDI QIDQ727671
Emiliano A. Valdez, Guojun Gan
Publication date: 20 December 2016
Published in: Dependence Modeling (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1515/demo-2016-0022
data clusteringmetamodelingLatin hypercubevariable annuityportfolio valuationgeneralized beta of the second kind (GB2)multivariate experimental design
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (11)
Modeling partial Greeks of variable annuities with dependence ⋮ Valuation of Large Variable Annuity Portfolios with Rank Order Kriging ⋮ Two-phase selection of representative contracts for valuation of large variable annuity portfolios ⋮ Data Clustering with Actuarial Applications ⋮ AN EFFECTIVE BIAS-CORRECTED BAGGING METHOD FOR THE VALUATION OF LARGE VARIABLE ANNUITY PORTFOLIOS ⋮ An empirical comparison of some experimental designs for the valuation of large variable annuity portfolios ⋮ Batch mode active learning framework and its application on valuing large variable annuity portfolios ⋮ Valuation of large variable annuity portfolios: Monte Carlo simulation and synthetic datasets ⋮ Real-Time Valuation of Large Variable Annuity Portfolios: A Green Mesh Approach ⋮ A DSA Algorithm for Mortality Forecasting ⋮ Variable annuity pricing, valuation, and risk management: a survey
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Statistical emulators for pricing and hedging longevity risk products
- Design issues for generalized linear models: a review
- Introduction to insurance mathematics. Technical and financial features of risk transfers
- An empirical comparison of some experimental designs for the valuation of large variable annuity portfolios
- Application of data clustering and machine learning in variable annuity valuation
- Valuation of large variable annuity portfolios under nested simulation: a functional data approach
- A neural network approach to efficient valuation of large portfolios of variable annuities
- State-of-the-Art Review: A User’s Guide to the Brave New World of Designing Simulation Experiments
- Data Clustering in C++
- Modern Experimental Design
- Response Surfaces, Mixtures, and Ridge Analyses
- A Census of Small Latin Hypercubes
- Statistical Size Distributions in Economics and Actuarial Sciences
- CALCULATING VARIABLE ANNUITY LIABILITY “GREEKS” USING MONTE CARLO SIMULATION
- Regression Modeling with Actuarial and Financial Applications
- Efficient Greek Calculation of Variable Annuity Portfolios for Dynamic Hedging: A Two-Level Metamodeling Approach
- Generalized Linear Models for Insurance Data
This page was built for publication: An empirical comparison of some experimental designs for the valuation of large variable annuity portfolios