Risk and Return - Part 1 Introduction to VaR and RAROC - PowerPoint PPT Presentation

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Risk and Return - Part 1 Introduction to VaR and RAROC

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r(X) = Max(X) Next simplest - Tail Value at Risk. r(X) = Average of top (1-a) ... For each line h, multiply each loss by b. Generates correlation between lines. ... – PowerPoint PPT presentation

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Title: Risk and Return - Part 1 Introduction to VaR and RAROC


1
Risk and Return - Part 1Introduction to VaR and
RAROC
  • Glenn Meyers - Insurance Services Office
  • Tim Freestone/Wei-Keung Tang
  • Seabury Insurance Capital LLC
  • Peter Nakada - eRisk, Inc.

2
Risk and Return - Part 1Introduction to VaR and
RAROC
  • The purpose of Part 1 is to provide an overview
    of the issues involved in determining the cost of
    capital for an insurer.
  • We dont all agree on how to deal with these
    issues.
  • Go to Part 2 to see some different points of view
    on this issue.

3
Determine Capital Needs for an Insurance Company
  • The insurer's risk, as measured by its
    statistical distribution of outcomes, provides a
    meaningful yardstick that can be used to set
    capital needs.
  • A statistical measure of capital needs can be
    used to evaluate insurer operating strategies.

4
Volatility Determines Capital NeedsLow Volatility
5
Volatility Determines Capital NeedsHigh
Volatility
6
Define Risk
  • A better question - How much money do you need to
    support an insurance operation?
  • Look at total assets.
  • Some of the assets can come from unearned
    premium reserves and loss reserves, the rest must
    come from insurer capital.

7
Coherent Measures of Risk
  • Axiomatic Approach
  • Use to determine insurer assets
  • X is random variable for insurer loss
  • r(X) Total Assets
  • Capital r(X) Reserves(X)

8
Coherent Measures of Risk
  • Subadditivity For all random losses X and Y,
  • r(XY) ? r(X)r(Y)
  • Monotonicity If X ? Y for each scenario, then
  • r(X) ? r(Y)
  • Positive Homogeneity For all l ? 0 and random
    losses X
  • r(lX) lr(X)
  • Translation Invariance For all random losses X
    and constants a
  • r(Xa) r(X) a

9
Examples of Coherent Measures of Risk
  • Simplest Maximum loss
  • r(X) Max(X)
  • Next simplest - Tail Value at Risk
  • r(X) Average of top (1-a) of losses

10
Examples of Risk that are Not Coherent
  • Standard Deviation
  • Violates monotonicity
  • Possible for EX TStdX gt Max(X)
  • Value at Risk/Probability of Ruin
  • Not subadditive
  • Large X above threshold
  • Large Y above threshold
  • XY not above threshold

11
Representation Theorems
  • Artzner, Delbaen, Eber and Heath

Maximum of a bunch of generalized scenarios
  • Wang, Young and Panjer

Expected value of X with probabilities distorted
by g, where g(0)0, g(1)1 and g is concave down.
12
CorrelationMultiple Line Parameter Uncertainty
  • Select b from a distribution with Eb 1 and
    Varb b.
  • For each line h, multiply each loss by b.
  • Generates correlation between lines.

13
Multiple Line Parameter UncertaintyA simple,
but nontrivial example
Eb 1 and Varb b
14
Correlation and Capital b 0.00
Chart 3.4
Correlated Losses
7,000
6,000
5,000
4,000
Sum of Random Losses
3,000
2,000
1,000
0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
Random Multiplier
15
Correlation and Capital b 0.03
16
Positive Correlation Means More Capital
  • A good insurer strategy will try to reduce
    correlation between its insureds.
  • Unless the price is right
  • Example Avoid geographic concentration in
    catastrophe-prone areas.

17
Long-Tailed Lines of Insurance
  • Uncertainty in loss reserve must be supported by
    capital.
  • Release capital over time as uncertainty is
    reduced.

18
Reinsurance
  • Reduces capital needs
  • Reduces the cost of capital
  • Adds reinsurance transaction costs
  • Insurer strategy - Minimize the combined capital
    and reinsurance transaction costs.

19
Allocating Capital
  • Actually Allocate the cost of capital
  • In total, the cost of capital must come from the
    profit provisions of individual insurance
    policies.
  • Allocate capital implicitly, or explicitly.
  • See session C-3.

20
Measure Risk/Determine Capital
  • Build insurers aggregate loss distribution.
  • Claim count distribution
  • Claim severity distribution
  • Dependencies/Correlation
  • Catastrophes
  • Reinsurance
  • Hard part is to get the information.
  • Should be fast as to evaluate various
    line/reinsurance strategies.

21
Measure Risk/Determine Capital
  • For various line/reinsurance strategies
  • Calculate your favorite measure of risk/needed
    assets/capital.
  • Allocate cost of capital to business segments.
  • Compare resulting costs with market driven
    premiums.
  • Select the most desirable strategy

22
Measure Risk/Determine Capital
  • Links to a comprehensive example
  • The Cost of Financing Insurance
  • CAS Ratemaking Seminar
  • http//www.casact.org/coneduc/ratesem/2002/handout
    s/meyers1.ppt
  • Papers
  • http//www.casact.org/pubs/forum/01spforum/meyers/
    index.htm
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