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1 The basis risk of index-based reinsurance instruments Hedging catastrophe Hedging catastrophe risks using index-based risks using index-based instruments instruments CAS reinsurance seminar CAS reinsurance seminar New York New York Feb. 28, 2002 Feb. 28, 2002 Lixin Zeng, Ph.D. Lixin Zeng, Ph.D. Willis Re Willis Re

Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

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Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York Feb. 28, 2002 Lixin Zeng, Ph.D. Willis Re. Outline Introduction / background Defining basis risk Calculating basis risk Optimal hedging strategies. Index-based risk management instrument - PowerPoint PPT Presentation

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Page 1: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

11

The basis risk of index-based reinsurance instruments

Hedging catastrophe risks using Hedging catastrophe risks using index-based instrumentsindex-based instruments

CAS reinsurance seminarCAS reinsurance seminar

New YorkNew YorkFeb. 28, 2002Feb. 28, 2002

Lixin Zeng, Ph.D.Lixin Zeng, Ph.D.Willis ReWillis Re

Page 2: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

22

The basis risk of index-based reinsurance instruments

OutlineOutline

Introduction / backgroundIntroduction / background

Defining basis riskDefining basis risk

Calculating basis riskCalculating basis risk

Optimal hedging strategiesOptimal hedging strategies

Page 3: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

33

The basis risk of index-based reinsurance instruments

Index-based risk management instrumentIndex-based risk management instrument

Index typesIndex types Industry lossesIndustry losses Geophysical parametersGeophysical parameters

InstrumentsInstruments Cat optionsCat options Industry loss warranty (ILW)Industry loss warranty (ILW) Index-linked cat bondsIndex-linked cat bonds Other index-linked instruments (yield guarantee, Other index-linked instruments (yield guarantee,

index-based WC products, etc.)index-based WC products, etc.)

Page 4: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

44

The basis risk of index-based reinsurance instruments

General conceptGeneral concept

BuyerBuyer SellerSellerFixed premiumFixed premium

Agree on an indexAgree on an index

Variable payoutVariable payout

Actual lossActual loss

Page 5: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

55

The basis risk of index-based reinsurance instruments

ExamplesExamples

Call option on an industry loss indexCall option on an industry loss index

Call spread on an industry loss indexCall spread on an industry loss index

W: index; S: strike; L: limit; P: payout; k: payout ratioW: index; S: strike; L: limit; P: payout; k: payout ratio

S for W 0

S W SLfor S)(Wk

SL for W Lk

P

S for W 0

S for W S)(WkP

Page 6: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

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The basis risk of index-based reinsurance instruments

Examples Examples (continued)(continued)

Industry loss warranty (ILW)Industry loss warranty (ILW)

Sometimes subject to an actual lossSometimes subject to an actual loss

Index-linked cat bondIndex-linked cat bond

PP = Principal payment = Principal payment II = Interest payments = Interest payments XX = Parameters related to natural disaster event(s) = Parameters related to natural disaster event(s)

X)fIP (},{

S for W 0

S for W LP

Page 7: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

77

The basis risk of index-based reinsurance instruments

Compared to traditional indemnity instruments Compared to traditional indemnity instruments

AdvantagesAdvantages Simpler underwritingSimpler underwriting Lower moral hazardLower moral hazard Potentially lower costPotentially lower cost

ChallengesChallenges Tax/reporting implicationsTax/reporting implications Basis risk: mismatch between payout and actual Basis risk: mismatch between payout and actual

lossloss

Page 8: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

88

The basis risk of index-based reinsurance instruments

OutlineOutline

Introduction / backgroundIntroduction / background

Defining basis riskDefining basis risk

Calculating basis riskCalculating basis risk

Optimal hedging strategiesOptimal hedging strategies

Page 9: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

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The basis risk of index-based reinsurance instruments

Example: Example: Mismatching of a cat option payout and the Mismatching of a cat option payout and the actual excess lossactual excess loss

S for W 0

S for W kS -kW S)(WkP

Page 10: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

1010

The basis risk of index-based reinsurance instruments

Example: Example: Mismatching of a cat option payout and the Mismatching of a cat option payout and the actual excess lossactual excess loss

Actual loss

50 100 150 200 250 300

01

00

20

03

00

Pa

yo

ut

fac

tor

* In

de

x (K*W

)

retentionretention

Strike Strike (K*S)(K*S)

Page 11: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

1111

The basis risk of index-based reinsurance instruments

Actual loss50 100 150 200 250 300

010

020

030

0

Pay

out f

acto

r *

inde

x (K*W

)

retentionretention

strike strike (K*S)(K*S)

Basis “gain”Basis “gain”

Basis riskBasis risk

Page 12: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

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The basis risk of index-based reinsurance instruments

What is “basis risk”?What is “basis risk”?

Actual excess lossActual excess loss

Payout of anPayout of an““comparable” comparable”

reinsurance policyreinsurance policy

Payout of anPayout of anindex-based instrumentindex-based instrument

Basis risk Basis risk Basis risk Basis risk

Basis risk Basis risk

Page 13: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

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The basis risk of index-based reinsurance instruments

Why do we care about basis risk? Why do we care about basis risk?

Type Type How effective is the index-based instrument in How effective is the index-based instrument in

reducing the risk of the underlying portfolioreducing the risk of the underlying portfolio

Type Type How does the index-based instrument compare How does the index-based instrument compare

to the traditional reinsurance policyto the traditional reinsurance policy

Type Type Probability of exhausting the limit, counter-Probability of exhausting the limit, counter-

party credit risk, contract dispute, etc.party credit risk, contract dispute, etc.

Page 14: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

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The basis risk of index-based reinsurance instruments

DefinitionsDefinitions

SymbolsSymbols LLgg = actual gross loss = actual gross loss rrtt = retention = retention L = max(0, LL = max(0, Lgg - r - rtt) (excess loss)) (excess loss) PPii = payout of the index-based instrument A = payout of the index-based instrument A PPrr = payout of a “ = payout of a “comparable”comparable” traditional traditional

reinsurance policy Breinsurance policy B

Page 15: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

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The basis risk of index-based reinsurance instruments

Definitions Definitions (continued)(continued)

An index-based instrument A and a An index-based instrument A and a traditional reinsurance policy B are traditional reinsurance policy B are comparable ifcomparable if The strike of A and the attachment of B have The strike of A and the attachment of B have

similar probabilities of attachingsimilar probabilities of attaching A and B have similar payout limitA and B have similar payout limit The costs of A and B are similarThe costs of A and B are similar

Page 16: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

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The basis risk of index-based reinsurance instruments

Quantification of basis risk Quantification of basis risk

Measures based on covariance and/or linear Measures based on covariance and/or linear correlation between excess loss and payoutcorrelation between excess loss and payout Easy to calculateEasy to calculate Commonly usedCommonly used Actuarial meaning not clearActuarial meaning not clear Can be misleadingCan be misleading

Page 17: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

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The basis risk of index-based reinsurance instruments

0.0 0.5 1.0 1.5 2.0 2.5 3.0

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Example 1: payout vs. actual excess lossExample 1: payout vs. actual excess loss

Actual excess loss ($100M)Actual excess loss ($100M)

Payo

ut ($

100M

)Pa

yout

($10

0M)

Page 18: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

1818

The basis risk of index-based reinsurance instruments

Example 2: payout vs. actual excess lossExample 2: payout vs. actual excess loss

0.0 0.5 1.0 1.5 2.0 2.5 3.0

0.0

0.5

1.0

1.5

2.0

2.5

3.0

actual excess loss

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Actual excess loss ($100M)Actual excess loss ($100M)

Payo

ut ($

100M

)Pa

yout

($10

0M)

Page 19: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

1919

The basis risk of index-based reinsurance instruments

How to differentiate the two structures?How to differentiate the two structures?

actual excess loss structure 1 structure 2

$80M $73M $88M100% 98% 98%

0 $14M $14M

expected valuecorrelation

root mean square

Page 20: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

2020

The basis risk of index-based reinsurance instruments

How to differentiate the two structures?How to differentiate the two structures?

actual excess loss structure 1 structure 2

$80M $73M $88M100% 98% 98%

0 $14M $14M

99% 0 $32M $37M99.60% 0 $37M $43M99.80% 0 $39M $50M

Quantiles of payout shortfall

expected valuecorrelation

root mean square

Page 21: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

2121

The basis risk of index-based reinsurance instruments

Better quantification of basis risk Better quantification of basis risk

Conditional probability-based measuresConditional probability-based measures Probability distribution of payout shortfall given Probability distribution of payout shortfall given

an excess lossan excess loss Explicit actuarial implicationsExplicit actuarial implications

Page 22: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

2222

The basis risk of index-based reinsurance instruments

Basis risk for reinsurance instrumentsBasis risk for reinsurance instruments

Basis risk type Basis risk type the mismatch between the mismatch between actual excess loss and payout when L > 0actual excess loss and payout when L > 0 Focus on how the Focus on how the netnet loss probability will loss probability will

change with different reinsurance strategieschange with different reinsurance strategies

Basis risk type Basis risk type the mismatch between the mismatch between index and indemnity instruments when L > 0index and indemnity instruments when L > 0 Probability distribution of Probability distribution of = P = Prr - P - Pii Focus on probability of “regret”Focus on probability of “regret”

Page 23: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

2323

The basis risk of index-based reinsurance instruments

Basis risk for reinsurance instrumentsBasis risk for reinsurance instruments

Which measure to focus on?Which measure to focus on?

To develop an optimal reinsurance program, To develop an optimal reinsurance program, should be usedshould be used

To address existing bias towards traditional To address existing bias towards traditional reinsurance, reinsurance, should be used should be used

Page 24: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

2424

The basis risk of index-based reinsurance instruments

Example 3Example 3

Reinsurer in a natural disaster areaReinsurer in a natural disaster area 15% market share15% market share Geographically diversified within the regionGeographically diversified within the region

Goal:Goal: Reduce probability of default from 1% to 0.4% Reduce probability of default from 1% to 0.4% Enhance risk/return profileEnhance risk/return profile Reduce earning volatilityReduce earning volatility

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The basis risk of index-based reinsurance instruments

Example 3 Example 3 (continued)(continued)

Measure of riskMeasure of risk

Probability of defaultProbability of default Probable maximum loss or Value at Risk with a Probable maximum loss or Value at Risk with a

0.4% exceeding probability: a proxy of risk 0.4% exceeding probability: a proxy of risk capitalcapital

Tail Value at Risk (TVaR): a coherent risk Tail Value at Risk (TVaR): a coherent risk measuremeasure

Semi-deviation of underwriting profit (i.e. Semi-deviation of underwriting profit (i.e. standard deviation of negative underwriting standard deviation of negative underwriting profit): related to earning volatilityprofit): related to earning volatility

Page 26: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

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The basis risk of index-based reinsurance instruments

Example 3 Example 3 (continued)(continued)

Measure of successMeasure of success

Return on equity (ROE)Return on equity (ROE)

expected profit / company equityexpected profit / company equity

Return on Risk Capital (RORC)Return on Risk Capital (RORC)

expected profit / PMLexpected profit / PML

Modified Sharpe ratioModified Sharpe ratio

expected profit / semi-deviationexpected profit / semi-deviation

Page 27: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

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The basis risk of index-based reinsurance instruments

Example 3 Example 3 (continued)(continued)

Evaluate competing strategiesEvaluate competing strategies Traditional retro policyTraditional retro policy

retention: 100-year PMLretention: 100-year PML limit: 250-year PML - 100-year PMLlimit: 250-year PML - 100-year PML

ILW (i.e. a binary call option)ILW (i.e. a binary call option) trigger: 100-year industry losstrigger: 100-year industry loss limit: same as abovelimit: same as above

Industry loss index call option (ICO) Industry loss index call option (ICO) strike: 90% of 100-year industry lossstrike: 90% of 100-year industry loss limit: same as abovelimit: same as above

Page 28: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

2828

The basis risk of index-based reinsurance instruments

company loss ($M)

Pro

b N

on

Exc

1000 2000 3000 4000 5000 6000

0.9

00

.92

0.9

40

.96

0.9

81

.00

Pro

bab

ilit

y of

non

exc

eed

ance

Pro

bab

ilit

y of

non

exc

eed

ance

Page 29: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

2929

The basis risk of index-based reinsurance instruments

company loss ($M)

Pro

b N

on

Exc

1000 2000 3000 4000 5000 6000

0.9

00

.92

0.9

40

.96

0.9

81

.00

Gross lossGross loss

Net after retroNet after retro Attached at 100-year lossAttached at 100-year loss Cover up to 250-year lossCover up to 250-year loss

Pro

bab

ilit

y of

non

exc

eed

ance

Pro

bab

ilit

y of

non

exc

eed

ance

Page 30: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

3030

The basis risk of index-based reinsurance instruments

company loss ($M)

Pro

b N

on

Exc

1000 2000 3000 4000 5000 6000

0.9

00

.92

0.9

40

.96

0.9

81

.00

Gross lossGross loss

Net after retroNet after retro

Net after ILWNet after ILW Attached at industry 100-year Attached at industry 100-year

lossloss Same limit as the indemnity Same limit as the indemnity

contract abovecontract abovePro

bab

ilit

y of

non

exc

eed

ance

Pro

bab

ilit

y of

non

exc

eed

ance

Page 31: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

3131

The basis risk of index-based reinsurance instruments

company loss ($M)

Pro

b N

on

Exc

1000 2000 3000 4000 5000 6000

0.9

00

.92

0.9

40

.96

0.9

81

.00

Gross lossGross loss

Net after retroNet after retro

Net after ILWNet after ILW

Net after Index Call OptionNet after Index Call Option Attached at 90% of industry 100-year Attached at 90% of industry 100-year

lossloss Same limit as the indemnity contract Same limit as the indemnity contract

aboveabove

Pro

bab

ilit

y of

non

exc

eed

ance

Pro

bab

ilit

y of

non

exc

eed

ance

Page 32: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

3232

The basis risk of index-based reinsurance instruments

company loss ($M)

Pro

b N

on

Exc

1000 2000 3000 4000 5000 6000

0.9

00

.92

0.9

40

.96

0.9

81

.00

gross Net after Reins Net after ILW Net after ICOpremium 798 757 757 758 expected loss 399 392 388 388 semi-deviation 1,028 895 839 838 modified Sharpe ratio 38.8% 40.8% 43.9% 44.1%PML(VaR) 3,933 2,869 3,055 2,925 TVaR 5,693 4,628 4,658 4,635 RORC 10.1% 12.7% 12.1% 12.6%ROE 13.9% 12.7% 12.8% 12.9%Prob default 1.0% 0.4% 0.6% 0.5%

Page 33: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

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The basis risk of index-based reinsurance instruments

-1000 -500 0 500

0.0

0.00

10.

002

0.00

30.

004

Probability density of Probability density of (ILW - retro payout) given L > 0(ILW - retro payout) given L > 0

Basis riskBasis riskBasis “gain”Basis “gain”

Page 34: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

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The basis risk of index-based reinsurance instruments

Cumulative probability distribution of Cumulative probability distribution of (ILW - retro payout) given L > 0(ILW - retro payout) given L > 0

Alfa_r

Pro

b N

on

Exc

200 300 400 500

0.9

00

.92

0.9

40

.96

0.9

81

.00

““worst case” worst case” ~ 50% ~ 50% of cover limitof cover limit

Pro

bab

ilit

y of

non

exc

eed

ance

Pro

bab

ilit

y of

non

exc

eed

ance

Page 35: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

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The basis risk of index-based reinsurance instruments

Example 4Example 4

Reinsurer in a natural disaster areaReinsurer in a natural disaster area 10% market share10% market share Not geographically diversified within the regionNot geographically diversified within the region

Goal:Goal: same as Example 3same as Example 3

Evaluate competing strategiesEvaluate competing strategies same as Example 3same as Example 3

Page 36: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

3636

The basis risk of index-based reinsurance instruments

company loss ($M)

Pro

b N

on

Exc

500 1000 1500 2000 2500 3000

0.9

00

.92

0.9

40

.96

0.9

81

.00

Initial Net after Reins Net after ILW Net after ICOpremium 331 305 304 305 expected loss 166 161 159 159 semi-deviation 585 724 493 492

modified Sharpe ratio 28.3% 19.9% 29.6% 29.8%PML(VaR) 2,262 1,559 1,909 1,860 TVaR 3,308 2,605 2,708 2,678

RORC 7.3% 9.2% 7.6% 7.9%ROE 10.6% 9.2% 9.3% 9.4%Prob default 1.0% 0.4% 0.9% 0.9%

Page 37: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

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The basis risk of index-based reinsurance instruments

-500 0 500 1000

0.0

0.0

02

0.0

04

0.0

06

0.0

08

beta

Mean= 138.47 ; Standard deviation= 250.77 Median= 0Probability density of Probability density of given L > 0given L > 0

Basis riskBasis riskBasis “gain”Basis “gain”

Page 38: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

3838

The basis risk of index-based reinsurance instruments

beta

Pro

b N

on

Exc

600 700 800 900

0.9

00

.92

0.9

40

.96

0.9

81

.00

Probability distribution of Probability distribution of given L > 0given L > 0

worst case worst case = 100% = 100% of cover limitof cover limit

Pro

bab

ilit

y of

non

exc

eed

ance

Pro

bab

ilit

y of

non

exc

eed

ance

Page 39: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

3939

The basis risk of index-based reinsurance instruments

Evaluating pros and cons of using index-based Evaluating pros and cons of using index-based instruments: Factors to considerinstruments: Factors to consider

Lower margin than a comparable retroLower margin than a comparable retro At the same premium, it offers greater At the same premium, it offers greater

reduction of expected lossreduction of expected loss

Basis riskBasis risk Reasonably small for geographically diversified Reasonably small for geographically diversified

exposuresexposures Potential for negative surprise for concentrated Potential for negative surprise for concentrated

portfolioportfolio Don’t count on the “basis gain”Don’t count on the “basis gain”

Page 40: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

4040

The basis risk of index-based reinsurance instruments

Index-based or indemnity: which one to use?Index-based or indemnity: which one to use?

No universally applicable answerNo universally applicable answer Depends on financial objective and risk Depends on financial objective and risk

tolerancetolerance A combination of subjective judgment and A combination of subjective judgment and

objective analysis objective analysis

Quantitative analyses facilitate consistent Quantitative analyses facilitate consistent decision makingdecision making Consistent objectiveConsistent objective Optimal position at the risk/return curveOptimal position at the risk/return curve Explicit monitoring of portfolio riskExplicit monitoring of portfolio risk

Page 41: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

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The basis risk of index-based reinsurance instruments

OutlineOutline

Introduction / backgroundIntroduction / background

Defining basis riskDefining basis risk

Calculating basis riskCalculating basis risk

Optimal hedging strategiesOptimal hedging strategies

Page 42: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

4242

The basis risk of index-based reinsurance instruments

How to calculate conditional loss distributionsHow to calculate conditional loss distributions

Representation of probability distributions in Representation of probability distributions in cat modelscat models

Cat model provides loss distributions of Cat model provides loss distributions of gross and net lossesgross and net losses

For basis risk type For basis risk type : calculate probability : calculate probability distribution of annual aggregate lossdistribution of annual aggregate loss

For basis risk type For basis risk type derive derive F F based on cat based on cat model outputmodel output

Page 43: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

4343

The basis risk of index-based reinsurance instruments

Event-based representation of loss probability Event-based representation of loss probability in a cat modelin a cat model

Cat model output Cat model output

Loss due to simulated event #Loss due to simulated event #kk

Rate of event #Rate of event #k k (average number per year)(average number per year)

kX

kr

Page 44: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

4444

The basis risk of index-based reinsurance instruments

Event-based representation of loss probability Event-based representation of loss probability in a cat modelin a cat model

AssumptionsAssumptions

nn is is large enough for the set to contain nearly large enough for the set to contain nearly all possible natural disaster eventsall possible natural disaster events

NNkk Number of occurrences of event #Number of occurrences of event #k ~ k ~ Poisson Process withPoisson Process with

?? Events are independentEvents are independent

},...,2,1 ,{ , nkNX kk

),(~ XkXkk NX kk rNE )(

Page 45: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

4545

The basis risk of index-based reinsurance instruments

For basis risk type For basis risk type

Probability distribution of annual aggregate Probability distribution of annual aggregate loss after reinsurance or index-based loss after reinsurance or index-based instrumentinstrument

Available approachesAvailable approaches Simulation based on per event lossesSimulation based on per event losses FFT (e.g. Wang, 1998)FFT (e.g. Wang, 1998)

Page 46: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

4646

The basis risk of index-based reinsurance instruments

For basis risk type For basis risk type

Probability distribution of per event loss Probability distribution of per event loss XX may be any losses e.g. Pmay be any losses e.g. Prr, P, Pii, , , L, etc., L, etc.

)()(1

xXPxXP k

n

k

Page 47: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

4747

The basis risk of index-based reinsurance instruments

)](1[

0

0

0 1,

,10

!

])([

!)]([

)()]([

)(])([

)(

max

xFr

m

mkkr

rmk

m

mk

m

m

iik

ikmim

k

kkk

k

em

rxFe

m

erxF

mMPxXP

mMPxXP

xXP

Number of Number of times event times event k k

occursoccurs

CDF of CDF of XXkk

Page 48: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

4848

The basis risk of index-based reinsurance instruments

Event-based representation of loss probability Event-based representation of loss probability in a cat modelin a cat model

Loss probability distribution Loss probability distribution XXkk

)](1[)( xFrk

kkexXP

Frequency for Frequency for event event kk

Probability that the loss Probability that the loss exceeds x given event exceeds x given event k k occurs occurs

Page 49: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

4949

The basis risk of index-based reinsurance instruments

Event-based representation of loss probability Event-based representation of loss probability in a cat modelin a cat model

Probability distribution of Probability distribution of XX

n

kkk xFr

exXP 1

)](1[

)(

Page 50: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

5050

The basis risk of index-based reinsurance instruments

Event-based representation of loss probability in a cat modelEvent-based representation of loss probability in a cat model

A frequently used simplificationA frequently used simplification Assuming Assuming XXkk is deterministic, i.e.is deterministic, i.e.

ThenThen

xX

xXxF

k

kk ,0

,1)(

xX

r

k

kexXP )(

Page 51: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

5151

The basis risk of index-based reinsurance instruments

Validity of the simplificationValidity of the simplification

Loss

Pro

b o

f N

on

Exc

.

0 20 40 60 80 100 120

0.9

90

0.9

92

0.9

94

0.9

96

0.9

98

1.0

00

Per-event loss standard deviation / meanPer-event loss standard deviation / mean

___________ 0___________ 0

___________ 10%___________ 10%

___________ 25%___________ 25%

___________ 50%___________ 50%

___________ 75%___________ 75%

___________ 100%___________ 100%

Page 52: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

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The basis risk of index-based reinsurance instruments

How to calculateHow to calculate F F

FF( b | L > 0 ) ( b | L > 0 )

= Prob(= Prob( < b | L > 0) < b | L > 0)

= Prob(P= Prob(Prr - P - Pii < b | L > 0) < b | L > 0)

= Prob(P= Prob(Prr - P - Pii < b & L > 0) / Prob(L > 0) < b & L > 0) / Prob(L > 0)

Page 53: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

5353

The basis risk of index-based reinsurance instruments

The problem of derivingThe problem of derivingFF( b | L > 0 ) = Prob(P( b | L > 0 ) = Prob(Prr - P - Pii < b & L > 0) / Prob(L > 0) < b & L > 0) / Prob(L > 0)

consists of two components:consists of two components:

(1) Prob(P(1) Prob(Prr - P - Pii < b) < b)

(2) Prob(P(2) Prob(Prr - P - Pii < b & L > 0) < b & L > 0)

Page 54: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

5454

The basis risk of index-based reinsurance instruments

Problem 1: Prob(Z < z), where Z = X - YProblem 1: Prob(Z < z), where Z = X - Y

},..2,1 ,{

2;

),(~

),(~);,(~

},..2,1 , ,{

,

22

,

nkrZ

NZ

NYNX

nkrYX

kk

XYkYkXkZkYkXkZk

ZkZkk

YkYkkXkXkk

kkk

Page 55: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

5555

The basis risk of index-based reinsurance instruments

Problem 2:Problem 2:

Prob(PProb(Prr - P - Pii <b) - Prob(P <b) - Prob(Prr - P - Pii < b & L < 0) < b & L < 0)

solution is simple only if independent or solution is simple only if independent or bivariate normalbivariate normal

If independent then:If independent then:

y)P(Y x)P(X y)Y &x P(X

Page 56: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

5656

The basis risk of index-based reinsurance instruments

Problem 2 Problem 2 (continued)(continued)::

If bivariate normal then:If bivariate normal then:

)1(2

2

121

2

22

2),,(

yyxx zzzz

yx ezzf

yy

xx z ,z

yx

yx

x yz

-

z

-

),,( y)Yx,Prob(X dsdttsf

Page 57: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

5757

The basis risk of index-based reinsurance instruments

OutlineOutline

Introduction / backgroundIntroduction / background

Defining basis riskDefining basis risk

Calculating basis riskCalculating basis risk

Optimal hedging strategiesOptimal hedging strategies

Page 58: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

5858

The basis risk of index-based reinsurance instruments

Example 3 Example 3 (continued)(continued)

Goal: design an ILW structure such thatGoal: design an ILW structure such that

Probability of default reduced from 1.0% to Probability of default reduced from 1.0% to 0.4%0.4%

Maintaining highest possible ROEMaintaining highest possible ROE

Select the optimal ILW parametersSelect the optimal ILW parameters TriggerTrigger LimitLimit Exhaustive search of combinationsExhaustive search of combinations

Page 59: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

5959

The basis risk of index-based reinsurance instruments

Trigger ($M)

Lim

it ($

M)

6000 8000 10000 12000 14000

050

010

0015

0020

0025

0030

00

0.04 0.05 0.06 0.07 0.08 0.09 0.1 0.11 0.12

0.13

How different trigger / limit combinationsHow different trigger / limit combinationsaffect ROEaffect ROE

Page 60: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

6060

The basis risk of index-based reinsurance instruments

Trigger ($M)

Lim

it ($

M)

6000 8000 10000 12000 14000

050

010

0015

0020

0025

0030

00

0.04 0.05 0.06 0.07 0.08 0.09 0.1 0.11 0.12

0.13

0.070.08 0.09 0.1 0.11

0.120.13

How different trigger / limit combinationsHow different trigger / limit combinationsaffect ROE and affect ROE and RORCRORC

Page 61: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

6161

The basis risk of index-based reinsurance instruments

Trigger ($M)

Lim

it ($

M)

6000 8000 10000 12000 14000

050

010

0015

0020

0025

0030

00

0.040.05 0.06 0.07 0.08 0.09 0.1 0.11 0.12

0.13

0.070.08 0.09 0.1 0.11

0.120.13

0.002 0.004 0.0060.008

0.01

How different trigger / limit combinationsHow different trigger / limit combinationsaffect ROE, affect ROE, RORC, RORC, andand prob. of defaultprob. of default

**

Page 62: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

6262

The basis risk of index-based reinsurance instruments

company loss ($M)

Pro

b N

on E

xc

1000 2000 3000 4000 5000 6000

0.90

0.92

0.94

0.96

0.98

1.00

Initial Net after Reins Net after Optimal ILW Net after ICO

premium 798 757 740 758 expected loss 399 392 384 388 semi-deviation 1,028 895 791 838 modified Sharpe ratio 38.8% 40.8% 45.1% 44.1%PML(VaR) 3,933 2,869 2,857 2,925 TVaR 5,693 4,628 4,469 4,635 RORC 10.1% 12.7% 12.5% 12.6%ROE 13.9% 12.7% 12.4% 12.9%Prob default 1.0% 0.4% 0.4% 0.5%

Page 63: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

6363

The basis risk of index-based reinsurance instruments

gross Net after

Reins

Net after ILW (initial

structure)

Net after ILW

(optimal) premium 798 757 757 740 expected loss 399 392 388 384 semi-deviation 1,028 895 839 791 modified Sharpe ratio 38.8% 40.8% 43.9% 45.1%PML(VaR) 3,933 2,869 3,055 2,857 TVaR 5,693 4,628 4,658 4,469 RORC 10.1% 12.7% 12.1% 12.5%ROE 13.9% 12.7% 12.8% 12.4%Prob default 1.0% 0.4% 0.6% 0.4%

How the optimal ILW structure improves the How the optimal ILW structure improves the risk/return profilerisk/return profile

Page 64: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

6464

The basis risk of index-based reinsurance instruments

Summary: Index-based instrumentsSummary: Index-based instruments

Are becoming an increasingly important risk Are becoming an increasingly important risk management toolmanagement tool

Change the risk/return profile in a different Change the risk/return profile in a different manner than traditional reinsurancemanner than traditional reinsurance

Require the buyer to thoroughly analyze the Require the buyer to thoroughly analyze the basis risk tobasis risk to Avoid surprise or regretAvoid surprise or regret Take full advantage of index-based instrumentsTake full advantage of index-based instruments

Page 65: Hedging catastrophe risks using index-based instruments CAS reinsurance seminar New York

6565

The basis risk of index-based reinsurance instruments

Summary: Basis riskSummary: Basis risk

There is no universally applicable definition of There is no universally applicable definition of basis riskbasis risk Depends on the financial objective and risk Depends on the financial objective and risk

tolerance of the buyertolerance of the buyer

Calculating basis risk is a nontrivial taskCalculating basis risk is a nontrivial task

The goal of this presentationThe goal of this presentation Promote a discussion on this topic among Promote a discussion on this topic among

actuariesactuaries Not intended to provide the “right” answer or Not intended to provide the “right” answer or

demonstrate the “right” methoddemonstrate the “right” method