Simulation Models for Reserve and Surplus Analysis

Abstract
Simulation models have a long history of use in the actuarial profession for estimating confidence intervals for loss reserves and pricing estimates. More recently, models have been developed which can be used to derive probability levels for insurance company surplus. In this session we will describe procedures for modeling loss reserve uncertainty using simulation models. Models utilizing claim count and claim severity distribution will be discussed. The issue of parameter variance and its estimation will be presented. Techniques for estimating payout patterns and its impact on discounted reserve variability will be presented. A more comprehensive model of insurance company operations which can be used to assess insurance company solvency will then be presented. The items modeled will include premiums, claims outstanding, investment returns, business cycles, and effect of inflation.
Year
1993
Categories
Actuarial Applications and Methodologies
Reserving
Reserving Methods
Actuarial Applications and Methodologies
Dynamic Risk Modeling
Solvency Analysis
Actuarial Applications and Methodologies
Reserving
Uncertainty and Ranges
Financial and Statistical Methods
Simulation
Publications
CLRS Transcripts
Authors
Jeffrey A Englander
Rodney E Kreps