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Profit Margins In General Insurance Pricing (A Critical Assessment of Approaches)

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Title: Profit Margins In General Insurance Pricing (A Critical Assessment of Approaches)


1
Profit Margins In General Insurance Pricing(A
Critical Assessment of Approaches)
  • Nelson Henwood, Caroline Breipohl and Richard
    Beauchamp
  • New Zealand Society of Actuaries Conference,
    Rotorua
  • 13 November 2002

2
Introduction
  • Problem at Hand
  • Assessment of methods for determination of profit
    margins in General Insurance
  • Motivation
  • Explore current thinking within actuarial
    profession
  • The Pricing Process
  • Papers focus only on profit margin
  • Theoretical cost plus premium
  • Input to rate setting process
  • Approach
  • Critically assess methods to determine profit
    margin
  • Consider some fundamental and practical elements
    of each method

3
Outline of our Discussion
  • Types of Risk
  • Surplus-Return Framework
  • CAPM to Determine Return
  • The Myers-Cohn Approach
  • An Options Pricing Approach
  • Utility Theory
  • Proportional Hazards Transforms
  • Concluding Remarks

4
Types of Risk
  • Process Risk (or Diversifiable Risk)
  • Risk associated with an individual policy
  • Diversification can minimise Process Risk
  • Parameter Risk (or Systemic Risk)
  • Risks affecting many policies simultaneously
    (e.g. change in claims frequency)
  • Cannot be diversified away
  • What risk should be rewarded?
  • Theories differ

5
Surplus-Return Framework
  • Familiar intuitive
  • Two key requirements
  • amount of surplus allocated to a block of
    business
  • rate of return earned on this surplus
  • Surplus allocation - reflect variability of
    business
  • Simplistic, notional approaches
  • Margin above statutory minimum
  • Standard deviation principle
  • Methods recognising covariability
  • Target return on surplus

6
Surplus-Return Framework (cont.)
  • Appeal
  • Intuitive capital supporting insurance business
    must earn an appropriate return
  • Riskier business requires a higher return
  • Difficulties
  • Dependent on capital allocation return
    approaches
  • Estimating applicable risk parameters is not easy
    in practice

7
CAPM to Determine Return
  • Fairleys methodology, the Insurance CAPM, uses
    an underwriting (or liability) beta to describe
    insurance risk
  • bL Cov (rL, rm) / Var (rm)
  • Rewards only systemic risk
  • Insurance profit expected to be nil
  • Very controversial
  • Alternative formulation given by Feldblum
  • bF Cov (rL, rp) / Var (rp)
  • Diversification achieved through holding minimum
    risk portfolio of insurance business
  • No investment freedom for assets backing
    technical liabilities
  • Cannot achieve Fairleys minimum risk portfolio

8
CAPM (cont.)
  • CAPM theory relies on some quite restrictive
    assumptions
  • Difficulty of estimating the liability beta
  • Inferred v. Accounting betas
  • Empirical measurement dependant upon
  • Time period
  • Market proxy
  • Insurance companies included in study

9
The Myers-Cohn Approach
  • Some appealing aspects
  • Discounted cash flow approach
  • Desire to be fair to both policyholders and
    shareholders
  • Risk-adjusted discount rate key to this model
  • Difficult to separate from Insurance CAPM
  • Hence subject to inherent weaknesses of Insurance
    CAPM
  • Relatively insensitive to the level of capital

10
An Options Pricing Approach
  • Appeal
  • Parallels between Options as a contingent
    payment, and Insurance
  • Compared to other models the Black-Scholes Model
    parameters appear relatively easy to determine
  • Reward for inherent risk
  • Process (and parameter) risk
  • Major concerns
  • Difficulty of matching traded option types to the
    insurance situation
  • Weakness of the continuous hedging argument in
    the insurance context

11
Utility Theory
  • Appeal
  • Theory closely aligned with intuitive view of
    appetite for risk
  • Higher return required to engage in more
    uncertain situation
  • Takes into account insurance companys current
    portfolio
  • Systemic and diversifiable risk rewarded
  • Practical difficulties
  • Derivation of utility function
  • Parameter describing risk aversion is not readily
    determined
  • The Exponential utility function leads to profit
    loading that is independent of wealth

12
Proportional Hazards Transforms
  • Appeal
  • Method to derive margin for uncertainty that does
    not rely on any financial or economic theory
  • Numerical methods effective for processing
    complex loss distributions
  • Consistent valuation of risk across different
    categories of business
  • Reward for inherent risk
  • Process (and parameter) risk
  • Difficulties
  • Risk aversion parameter not readily determined
  • Difficult to understand and communicate

13
Concluding Remarks
  • Insurers must compete for capital
  • Shareholders require a competitive return
  • Management is charged with delivering this return
    to shareholders
  • Management generally targets a return based on
    market conditions
  • Actuary must set rates to meet management
    objectives
  • Should challenge and test appropriateness of the
    required return
  • Various theoretical frameworks may assist in
    appropriate circumstances
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