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The Role of Insurance and Reinsurance in
Disaster Risk Management
David Simmons
Managing Director:
Capital, Science and Policy Practice
Willis Towers Watson
Pacific Regional Dialogue on
Financial Management of
Climate Risks
26/28 June 2017
Introduction
Catastrophe re/insurance is an established, proven product
For example 2011, an “annus horribilis” for Asia/Pacific Catastrophes
§ Christchurch Earthquake(s): Economic Loss $ 18bn, Insured Loss $14bn
§ Bangkok/Thai Flood: Economic Loss $ 30bn, Insured Loss $12bn
§ Japanese Earthquake/Tsunami: Economic Loss $210bn, Insured Loss $35bn
The global reinsurance market for catastrophe risk is strong
§ Huge inflows of capital from pension funds (over $50bn) seeking return
§ Established reinsurers are seeking new sources of income from markets
where they have little current exposure
§ Catastrophe Modelling techniques are well established and well understood
But the benefits are more than just financial restoration
§ Recent schemes focus upon speedy cash injection to facilitate immediate
post-disaster response
§ The value is far more; greater risk awareness, better risk management,
planned disaster response
2
Most existing schemes protect domestic property
§ Catastrophic risks can be too large for local insurers to bear
§ A national scheme provides basic property insurance coverage to the population
§ Commercial property generally covered in the open insurance market
§ Governmental property mostly self insured
Most share similar characteristics:
§ Indemnity-based but with limited coverage and with features to speed up loss
settlement
§ Mostly compulsory, can be politically unpopular but else suffer adverse selection
§ Governments may guarantee the fund, else risk fund exhausts after a major loss
§ Almost all schemes use global reinsurance markets to gear up fund
§ Vast majority buying reinsurance does uses a reinsurance broker, who help design,
model and place the optimal reinsurance at best possible terms
§ Coverage is often limited but can be “topped-up” by local insurers
§ Most rates are risk-adjusted to encourage good risk behaviour/building standards
§ However, some (e.g. France) have flat pricing regardless of risk, following principle of
solidarity
National Catastrophe Schemes
3
Existing Schemes
National Catastrophe Schemes
Sub-National
4
Disaster relief/governmental assets
Fonden (Mexico) - example of a scheme covering government assets and disaster response
§ Provides property cover to federal agencies and state governments in Mexico
§ But also included a catastrophe bond to provide near instant event response funding
Regional schemes harder to put into place
§ CCRIF in the Caribbean was the first one in 2007
§ Followed by Europa Re (Balkans) in 2010, PCRIP (Pacific) in 2013 , ARC (Africa) in 2014 and CCRIF
Central America in 2015
§ Must be fair to all parties, with no hidden cross-subsidisation
§ Need strong sponsor(s); e.g. the World Bank and CARICOM for CCRIF
The Insurance Development Forum (IDF) aims to make it easier to create new schemes
§ A new insurance industry/World Bank/UN body
§ Aims to provide technical, modelling and legal support to help create new national and regional schemes
§ Likely to include creation of a Technical Advisory Facility to augment work of World Bank and others
A regional or national scheme can support local initiatives
§ CCRIF, directly or indirectly, has spawned a number of micro insurance initiatives
§ Similarly, modelling undertaken for e.g. a cities/municipalities scheme can be the basis for a later national
and/or series of local schemes or vice versa
National Catastrophe Schemes
A potential scheme structure
5
Structure and Design: Example
Management Board
Representatives of Local
Government, National
Government, Local Insurance,
Experts
Scheme built around
a Catastrophe Fund
Local and National
Government
Premium
City/Municipality
City/Municipality
City/Municipality
City/Municipality
Trigger + State of
emergency
declaration
Insurance payout
Reinsurance
CapacityTrigger payouts
External
DonorsPremium
Risk
Monitoring
and
Evaluation
Reinsurance
premium
Policyholder
of parametric
insurance policies
Structure and Design
Or Something in Between
6
Parametric vs Indemnity
•Scheme pays on actual loss
•No basis risk
•But high cost of loss adjustment
•Loss adjustment also results in payment delays
Indemnity
•An event occurs, payment is made
•Simple, easy to understand
•Event definition made by a verifiable independent agency (eg USGS)
•But high basis risk: smaller events may cause a large loss, a large
event conversely may cause few losses
Parametric
Basis Risk
Complexity
Structure and Design
Or Something in Between
7
Parametric vs Indemnity
•Scheme pays on actual loss
•No basis risk
•But high cost of loss adjustment
•Loss adjustment also results in payment delays
Indemnity
•Model pays based on estimated loss from a catastrophe model
•Basis risk should be low but still real
•Requires time and expense to build the catastrophe model
•Catastrophe models are good for homogenous exposures (i.e.
domestic property), less good for complex risks
Modelled Loss
Basis
•Essentially a simplified version of a modelled loss
•Formulae estimate hazard at certain reference points (e.g. wind
speed, ground shaking, rainfall)
•Additional formula estimate the loss resulting from this hazard
•Lower basis risk than pure parametric, but higher than Modelled Loss
Parametric
Index
•An event occurs, payment is made
•Simple, easy to understand
•Event definition made by a verifiable independent agency (eg USGS)
•But high basis risk: smaller events may cause a large loss, a large
event conversely may cause few losses
Parametric
Basis Risk
Complexity
Structure and Design
Parametric or Indemnity (or both?)
8
Parametric vs Indemnity
It is important to decide what is most important
§ Speed: speed of payment or speed of set-up
§ Basis risk: i.e. accuracy of loss payment
If speed of payment is important, a form of parametric cover makes sense
§ Both CCRIF and ARC promise payment within days of an ‘event’ occurring
§ Simplified policy terms can speed up indemnity payments but the chance of delay and dispute
remains
If avoiding basis risk is important, indemnity or near indemnity is required
§ Individuals cannot be exposed to basis risk; at micro level risk is too high and tolerance low
§ But a fund may consider accepting some low level basis risk as a trade against speed of settlement
It is possible to migrate
§ CCRIF started with a parametric index, allowing the scheme to be up and be in place quickly
§ After 3 years, and after more research/model building, they switched to a Modelled Loss basis
It is also possible to have both
§ Fonden scheme had a parametric catastrophe bond element to provide immediate post-disaster
funding
§ Also has an indemnity based insurance to cover local governmental assets
§ “Hybrid” schemes are very possible and readily placeable
Structure and Design
a hybrid scheme
9
Example of a hybrid scheme: Fonden
Schools
Water
infrastructure
Hospitals
DeductibleDeductible Deductible
Roadand
Bridges
Deductible
Trigger product
Fast Payout
Indemnification
insurance
Cost of reconstruction and repair
Special Vehicle (Fonden)
Capable of near immediate implementation Mid-/long-term development perspective
Data and Modelling Requirement
Is Good Data a Pre-Requisite?
10
Data Requirement
The better the data, the better the product
§ Good data also makes the product more attractive to reinsurers
But data is never perfect, and to wait for perfection implies a very long wait
§ It is possible to put a scheme in place quickly with imperfect data, refining it as data (and models
reflecting and using that data) become available
Parametric products can provide real, immediate value without heavy data requirements
§ Data for wind and rainfall, both live and historical, are usually available from reputable sources
§ A Parametric Index product based upon these data could be put in place immediately
§ Attractive to reinsurers as transparent and based upon excellent, homogenous hazard data
The product can be refined as data becomes available
§ CCRIF has not moved from Parametric Index to a full indemnity basis as it wants the fast payment
that a Modelled Loss basis brings
§ Similarly, ARC continues to use a Parametric Index basis as fast payment is fundamental to its value
Data and Modelling Requirement
Example: PRISM
11
Proposed Philippines municipality scheme example (PRISM)
The exceedance of a defined rainfall amount or wind speed triggers a payment
The payment is based on a calculated return period
*PRISM concept suggests payout as percentage of LGU (= local government unit) tax income class and based on state of calamity declaration
3. Trigger payment
per LGU*
1. Return period
calculation
per LGU*
2. Actual event
monitoring
Real time monitoring (meteorology)
§ 3 hourly rainfall (daily
aggregation)
§ 6 hourly wind speed (daily max)
Categorization
of intensity
Why do disaster response schemes work for countries
12
Not just about money…
© 2016 Willis Towers Watson. All rights reserved. Proprietary and Confidential. For Willis Towers Watson and Willis Towers Watson client use only.
Speed of payment
§ Prior to ARC launch, a World Bank Paper estimated that $1 paid quickly after a loss may be worth $5
paid months later. UN analysis post ARC West Africa $26m pay-out in 2014/5 supports this analysis
§ Insurance schemes can ensure fast payment if terms are met; aid money can take months to appear
Budget Certainty
§ Allow countries to plan their budgets better
§ Less reliance on chance and donor generosity in extremis
Increased risk awareness
§ An insurance scheme necessitates a proper understanding of risk, acting as a catalyst to improved risk
understanding, ultimately encouraging prioritised risk reduction
Increased preparedness
§ Schemes can, like ARC, include the requirement to develop detailed, audited contingency plans
§ This process identifies weaknesses and inefficiencies
Increased Integration
§ NGOs are increasingly interested in replicating existing insurance covers
§ Also means that contingency plans are also integrated: increase efficiency, reduce duplication of effort
But money is important: ARC has paid $26m in two years, CCRIF $38m in 9 years. They are proven
Why these schemes work for re/insurers
General Principles
13
Reinsurance/Risk Mitigation
Reinsurers (and capital markets) like
§ Transparency
§ Verifiable modelling
§ Consistency of relationship/trust
Reinsurers do not like
§ Political risk
§ Poor, incomplete or misleading modelling
§ Uncertainty (around what they are covering)
Different reinsurers have different appetites
§ Some like writing risks with a lot of premium but relatively high risk
§ Others like writing risks with less risk but commensurately less premium
§ It is important to know the market and split up the reinsurance placement to appeal to all appetites
But all have appetite for non-correlating exposure
§ $1 of exposure in Florida may require 80¢ of capital to write as their capital is driven by hurricane risk
§ $1 of exposure in the Pacific may require 1¢ of capital as reinsurers have relatively little existing
exposure
§ This should result in low technical pricing for Pacific catastrophe business assuming risk assessment
is trusted
CCRIF: Caribbean Catastrophe Risk Insurance Facility
14
The global template scheme
A mutual insurer owned by member governments issues policies to members
§ Established in 2007
§ Initially English Speaking Caribbean (CARICOM) plus Haiti; 16 countries
§ Recently extended to include Central America
Allow Caribbean governments to receive immediate post-catastrophe funding
§ Aid money post-disaster arrives too slowly by traditional channels
§ CCRIF delivers funds within two weeks of a triggering event
§ A parametric insurance
Sponsored by the World Bank
§ Initial funding (>$60m) from WB, EU, UK, Canada, France
§ Held in multi-lateral trust fund
Coverage intended to cover:
§ Loss to government buildings/infrastructure
§ Emergency Costs
§ Loss of tax/tourist income
§ Against perils of tropical cyclone (wind) and earthquake: later adding excess rainfall
CCRIF: Caribbean Catastrophe Risk Insurance Facility
15
Guarantee to pay out within 14 days of event occurring
§ In practice they attempt to pay earlier
§ E.g. Hurricane Tomas in November 2010
§ 3 Countries affected: Barbados (USD8.6m), Saint Lucia (USD 3.2m) and St Vincent & the Grenadines
(USD 1.1m)
§ Total pay-out USD 12.9m: 50% within 7 days, 50% within 14 days
§ 11 years of operation CCRIF has paid out 21 times to 10 countries totalling USD 69m
Record of innovation and capacity support
• Conversion of Segregated Portfolio Company in 2014
• Allows new cells to be set up at low cost, benefiting from CCRIF’s infrastructure and expertise
• Segregation of donor funds
• Dedicated call management boards representing policyholders and donors
• Product and reinsurance innovation
• Development of excess rainfall product
• First World Ban Catastrophe Bond
• Introduction of a “Deductible Layer” to ensure at least partial repayment of premium if there is a state of
emergency declared but the main programme does not trigger
• 3 year reinsurance deal placed in 2017
© 2016 Willis Towers Watson. All rights reserved. Proprietary and Confidential. For Willis Towers Watson and Willis Towers Watson client use only.
Proven, and continuously innovating
Africa Risk Capacity
Introduction to African Risk Capacity (ARC) and ARC Ltd
n Inspired by CCRIF but adding more explicit risk
management / contingency planning
n A sovereign risk pool designed to provide
immediate financial response if there is a
drought
n Coverage:
§ 2014/15 4 countries covered
§ 2017/18 8 countries covered
§ Within 4 years 20+ countries covered
n Cover is triggered by a parametric index developed with the
World Food Programme, based on staple crop rainfall
requirements
n Rainfall is measured by a network of satellites at a 10km x
10km square resolution, proofed by ground observation
ARC	Members	as	at	March	
2015	(Mali	joined	in	April)
16
African Risk Capacity
17
Risk Management Benefits
§ Countries spend up to a year working with ARC experts to understand the drought risk in
their countries
§ Countries are also required to draft a Disaster Response Plan, outlining how insurance
recovery will be spent to maximise impact
.
§ They must also obtain a Certificated of Good Standing to demonstrate good financial
management so money’s received will be put to appropriate use
§ Post loss they must further provide a Final Implementation Plan, refining the draft
Disaster Response Plan to determine a precise plan of action to maximise the societal
benefit of the cash received
The process of buying cover is arguably as important as the cover itself
Reinsurance Risk Appetite
Example: African Risk Capacity
18
How has reinsurance appetite changed over the last 8 years?
It is interesting to compare to the experience of trying to place the African Risk Capacity for
the first time in 2014 compared to the experience of CCRIF when it launched 7 years
earlier
ARC “flew off the shelves” despite a contract structure that was tough to
understand, unknown modelling and very competitive pricing
African Risk Capacity in 2014 CCRIF in 2007
Interest from 25+ reinsurers and
funds-backed markets
Interest from circa 8 reinsurers
15 quotations received 5 quotations received
12 reinsurers on contract 3 reinsurers on the contract
Very keen price Very keen price
Coast
19
Insurance linked to sustainable fisheries
US State Department led
§ Aim to use insurance as an incentive towards a sustainable fisheries policy
Initial focus Caribbean
§ A new cell has been formed in CCRIF to support the initiative
Countries must have a sustainable fisheries policy
§ In order to be eligible for insurance
Like ARC contingency plans post event must be developed
§ Which may include retraining fisher-folk post event to reduce the fleet
Premium subsidy may be linked to speed countries move to sustainability
§ If you do what you say you will get rewarded, back-slipping costs
Potential “Resilience Dividend” if no insurance loss
§ A partial refund of premium, but money must be spent increasing resilience
Traditionally insurance is seen as incentivising good risk management behaviour
but here arguably discounted insurance is the reward for sustainable, risk aware
behaviour.
© 2016 Willis Towers Watson. All rights reserved. Proprietary and Confidential. For Willis Towers Watson and Willis Towers Watson client use only.
The Elephant in the Room
20
Basis Risk: Basis Risk IS Manageable
Basis Risk is inevitable for any insurance scheme
§ Even indemnity covers have policy conditions that can limit payment
§ But for parametric covers the risk is real
Good product design minimises basis risk
• Modelled loss based products
• Alternative triggers, pay on either
• eg one based on satellite derived data and another on ground-observation data
• Hybrid schemes: parametric element for speed, indemnity element for certainty
Or, like CCRIF, introduce a deductible layer
§ Pays where there is a state of emergency but no triggered loss
§ Amount liked to premium of main policy and set by agreed formula
Or, like discussed for Coast, Consider a “resilience discount”
• Return of premium if no loss occurs
• But that return, the resilience dividend, must be either spend now on sustainability
projects or held as a private pool for use when needed (eg top-up for claim monies post
event)
© 2016 Willis Towers Watson. All rights reserved. Proprietary and Confidential. For Willis Towers Watson and Willis Towers Watson client use only.
Potential Schemes for the Pacific
21
Compliment rather than compete with PCRIC
The key will be to augment what PCRIC will offer. Some potential additional
areas to develop include:
§ Agriculture/crop (per ARC and/or other templae examples)
§ Livestock (covered indirectly by ARC but explicitly with some work WTW are doing with WFP)
§ Fisheries (using the COAST programme proposed for the Caribbean under CCRIF as an example)
§ Aquaculture
§ Government Infrastructure
§ Green infrastructure (eg reefs)
§ National Domestic/SME property schemes (WTW are broker to a number of national schemes and
have been involved in the creation of many)
• Pool Municipal Risk (eg work in Philippines – more recently with ADB)
Identify a scheme that meets a real need asap
• it will act as a magnet for donor support
• Don’t let poor data be an excuse for no action
© 2016 Willis Towers Watson. All rights reserved. Proprietary and Confidential. For Willis Towers Watson and Willis Towers Watson client use only.
Conclusion
22
Re/insurance provides real benefits to developing countries
Global re/insurance markets actively support developing country catastrophe schemes
§ We have not just financial capacity, but modelling and structuring expertise to share
There are a variety of existing templates to consider
§ But the scheme for each national/regional must be designed to suit their specific needs
Certain features attract both reinsurance markets and donor capital
§ Transparency is the key
Data and modelling are important but there is no need to wait for perfection
§ The scheme can grow and develop over time
§ Move to a more technical trigger as enhanced data and modelling become available (CCRIF)
§ Or like Fonden, a hybrid with both parametric and indemnity elements
Schemes can be constructed to encourage transfer or risk management expertise
§ CCRIF, ARC and COAST are great examples of the possible
Reinsurers have a big appetite for developing market catastrophe risk
§ The price must be technically credible: the higher the uncertainty, the higher the price
§ But Pacific risk is diversifying, capital charges loads should be low making cover affordable
The Role of Insurance and
Reinsurance in Disaster Risk
Management
David Simmons
Managing Director: Capital, Science and Policy Practice
Email: david.c.simmons@willistowerswatson.com
Phone: +44 20 3124 8917
Mobile: +44 7947 383777
23

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'The role of insurance and reinsurance in disaster risk management'

  • 1. The Role of Insurance and Reinsurance in Disaster Risk Management David Simmons Managing Director: Capital, Science and Policy Practice Willis Towers Watson Pacific Regional Dialogue on Financial Management of Climate Risks 26/28 June 2017
  • 2. Introduction Catastrophe re/insurance is an established, proven product For example 2011, an “annus horribilis” for Asia/Pacific Catastrophes § Christchurch Earthquake(s): Economic Loss $ 18bn, Insured Loss $14bn § Bangkok/Thai Flood: Economic Loss $ 30bn, Insured Loss $12bn § Japanese Earthquake/Tsunami: Economic Loss $210bn, Insured Loss $35bn The global reinsurance market for catastrophe risk is strong § Huge inflows of capital from pension funds (over $50bn) seeking return § Established reinsurers are seeking new sources of income from markets where they have little current exposure § Catastrophe Modelling techniques are well established and well understood But the benefits are more than just financial restoration § Recent schemes focus upon speedy cash injection to facilitate immediate post-disaster response § The value is far more; greater risk awareness, better risk management, planned disaster response 2
  • 3. Most existing schemes protect domestic property § Catastrophic risks can be too large for local insurers to bear § A national scheme provides basic property insurance coverage to the population § Commercial property generally covered in the open insurance market § Governmental property mostly self insured Most share similar characteristics: § Indemnity-based but with limited coverage and with features to speed up loss settlement § Mostly compulsory, can be politically unpopular but else suffer adverse selection § Governments may guarantee the fund, else risk fund exhausts after a major loss § Almost all schemes use global reinsurance markets to gear up fund § Vast majority buying reinsurance does uses a reinsurance broker, who help design, model and place the optimal reinsurance at best possible terms § Coverage is often limited but can be “topped-up” by local insurers § Most rates are risk-adjusted to encourage good risk behaviour/building standards § However, some (e.g. France) have flat pricing regardless of risk, following principle of solidarity National Catastrophe Schemes 3 Existing Schemes
  • 4. National Catastrophe Schemes Sub-National 4 Disaster relief/governmental assets Fonden (Mexico) - example of a scheme covering government assets and disaster response § Provides property cover to federal agencies and state governments in Mexico § But also included a catastrophe bond to provide near instant event response funding Regional schemes harder to put into place § CCRIF in the Caribbean was the first one in 2007 § Followed by Europa Re (Balkans) in 2010, PCRIP (Pacific) in 2013 , ARC (Africa) in 2014 and CCRIF Central America in 2015 § Must be fair to all parties, with no hidden cross-subsidisation § Need strong sponsor(s); e.g. the World Bank and CARICOM for CCRIF The Insurance Development Forum (IDF) aims to make it easier to create new schemes § A new insurance industry/World Bank/UN body § Aims to provide technical, modelling and legal support to help create new national and regional schemes § Likely to include creation of a Technical Advisory Facility to augment work of World Bank and others A regional or national scheme can support local initiatives § CCRIF, directly or indirectly, has spawned a number of micro insurance initiatives § Similarly, modelling undertaken for e.g. a cities/municipalities scheme can be the basis for a later national and/or series of local schemes or vice versa
  • 5. National Catastrophe Schemes A potential scheme structure 5 Structure and Design: Example Management Board Representatives of Local Government, National Government, Local Insurance, Experts Scheme built around a Catastrophe Fund Local and National Government Premium City/Municipality City/Municipality City/Municipality City/Municipality Trigger + State of emergency declaration Insurance payout Reinsurance CapacityTrigger payouts External DonorsPremium Risk Monitoring and Evaluation Reinsurance premium Policyholder of parametric insurance policies
  • 6. Structure and Design Or Something in Between 6 Parametric vs Indemnity •Scheme pays on actual loss •No basis risk •But high cost of loss adjustment •Loss adjustment also results in payment delays Indemnity •An event occurs, payment is made •Simple, easy to understand •Event definition made by a verifiable independent agency (eg USGS) •But high basis risk: smaller events may cause a large loss, a large event conversely may cause few losses Parametric Basis Risk Complexity
  • 7. Structure and Design Or Something in Between 7 Parametric vs Indemnity •Scheme pays on actual loss •No basis risk •But high cost of loss adjustment •Loss adjustment also results in payment delays Indemnity •Model pays based on estimated loss from a catastrophe model •Basis risk should be low but still real •Requires time and expense to build the catastrophe model •Catastrophe models are good for homogenous exposures (i.e. domestic property), less good for complex risks Modelled Loss Basis •Essentially a simplified version of a modelled loss •Formulae estimate hazard at certain reference points (e.g. wind speed, ground shaking, rainfall) •Additional formula estimate the loss resulting from this hazard •Lower basis risk than pure parametric, but higher than Modelled Loss Parametric Index •An event occurs, payment is made •Simple, easy to understand •Event definition made by a verifiable independent agency (eg USGS) •But high basis risk: smaller events may cause a large loss, a large event conversely may cause few losses Parametric Basis Risk Complexity
  • 8. Structure and Design Parametric or Indemnity (or both?) 8 Parametric vs Indemnity It is important to decide what is most important § Speed: speed of payment or speed of set-up § Basis risk: i.e. accuracy of loss payment If speed of payment is important, a form of parametric cover makes sense § Both CCRIF and ARC promise payment within days of an ‘event’ occurring § Simplified policy terms can speed up indemnity payments but the chance of delay and dispute remains If avoiding basis risk is important, indemnity or near indemnity is required § Individuals cannot be exposed to basis risk; at micro level risk is too high and tolerance low § But a fund may consider accepting some low level basis risk as a trade against speed of settlement It is possible to migrate § CCRIF started with a parametric index, allowing the scheme to be up and be in place quickly § After 3 years, and after more research/model building, they switched to a Modelled Loss basis It is also possible to have both § Fonden scheme had a parametric catastrophe bond element to provide immediate post-disaster funding § Also has an indemnity based insurance to cover local governmental assets § “Hybrid” schemes are very possible and readily placeable
  • 9. Structure and Design a hybrid scheme 9 Example of a hybrid scheme: Fonden Schools Water infrastructure Hospitals DeductibleDeductible Deductible Roadand Bridges Deductible Trigger product Fast Payout Indemnification insurance Cost of reconstruction and repair Special Vehicle (Fonden) Capable of near immediate implementation Mid-/long-term development perspective
  • 10. Data and Modelling Requirement Is Good Data a Pre-Requisite? 10 Data Requirement The better the data, the better the product § Good data also makes the product more attractive to reinsurers But data is never perfect, and to wait for perfection implies a very long wait § It is possible to put a scheme in place quickly with imperfect data, refining it as data (and models reflecting and using that data) become available Parametric products can provide real, immediate value without heavy data requirements § Data for wind and rainfall, both live and historical, are usually available from reputable sources § A Parametric Index product based upon these data could be put in place immediately § Attractive to reinsurers as transparent and based upon excellent, homogenous hazard data The product can be refined as data becomes available § CCRIF has not moved from Parametric Index to a full indemnity basis as it wants the fast payment that a Modelled Loss basis brings § Similarly, ARC continues to use a Parametric Index basis as fast payment is fundamental to its value
  • 11. Data and Modelling Requirement Example: PRISM 11 Proposed Philippines municipality scheme example (PRISM) The exceedance of a defined rainfall amount or wind speed triggers a payment The payment is based on a calculated return period *PRISM concept suggests payout as percentage of LGU (= local government unit) tax income class and based on state of calamity declaration 3. Trigger payment per LGU* 1. Return period calculation per LGU* 2. Actual event monitoring Real time monitoring (meteorology) § 3 hourly rainfall (daily aggregation) § 6 hourly wind speed (daily max) Categorization of intensity
  • 12. Why do disaster response schemes work for countries 12 Not just about money… © 2016 Willis Towers Watson. All rights reserved. Proprietary and Confidential. For Willis Towers Watson and Willis Towers Watson client use only. Speed of payment § Prior to ARC launch, a World Bank Paper estimated that $1 paid quickly after a loss may be worth $5 paid months later. UN analysis post ARC West Africa $26m pay-out in 2014/5 supports this analysis § Insurance schemes can ensure fast payment if terms are met; aid money can take months to appear Budget Certainty § Allow countries to plan their budgets better § Less reliance on chance and donor generosity in extremis Increased risk awareness § An insurance scheme necessitates a proper understanding of risk, acting as a catalyst to improved risk understanding, ultimately encouraging prioritised risk reduction Increased preparedness § Schemes can, like ARC, include the requirement to develop detailed, audited contingency plans § This process identifies weaknesses and inefficiencies Increased Integration § NGOs are increasingly interested in replicating existing insurance covers § Also means that contingency plans are also integrated: increase efficiency, reduce duplication of effort But money is important: ARC has paid $26m in two years, CCRIF $38m in 9 years. They are proven
  • 13. Why these schemes work for re/insurers General Principles 13 Reinsurance/Risk Mitigation Reinsurers (and capital markets) like § Transparency § Verifiable modelling § Consistency of relationship/trust Reinsurers do not like § Political risk § Poor, incomplete or misleading modelling § Uncertainty (around what they are covering) Different reinsurers have different appetites § Some like writing risks with a lot of premium but relatively high risk § Others like writing risks with less risk but commensurately less premium § It is important to know the market and split up the reinsurance placement to appeal to all appetites But all have appetite for non-correlating exposure § $1 of exposure in Florida may require 80¢ of capital to write as their capital is driven by hurricane risk § $1 of exposure in the Pacific may require 1¢ of capital as reinsurers have relatively little existing exposure § This should result in low technical pricing for Pacific catastrophe business assuming risk assessment is trusted
  • 14. CCRIF: Caribbean Catastrophe Risk Insurance Facility 14 The global template scheme A mutual insurer owned by member governments issues policies to members § Established in 2007 § Initially English Speaking Caribbean (CARICOM) plus Haiti; 16 countries § Recently extended to include Central America Allow Caribbean governments to receive immediate post-catastrophe funding § Aid money post-disaster arrives too slowly by traditional channels § CCRIF delivers funds within two weeks of a triggering event § A parametric insurance Sponsored by the World Bank § Initial funding (>$60m) from WB, EU, UK, Canada, France § Held in multi-lateral trust fund Coverage intended to cover: § Loss to government buildings/infrastructure § Emergency Costs § Loss of tax/tourist income § Against perils of tropical cyclone (wind) and earthquake: later adding excess rainfall
  • 15. CCRIF: Caribbean Catastrophe Risk Insurance Facility 15 Guarantee to pay out within 14 days of event occurring § In practice they attempt to pay earlier § E.g. Hurricane Tomas in November 2010 § 3 Countries affected: Barbados (USD8.6m), Saint Lucia (USD 3.2m) and St Vincent & the Grenadines (USD 1.1m) § Total pay-out USD 12.9m: 50% within 7 days, 50% within 14 days § 11 years of operation CCRIF has paid out 21 times to 10 countries totalling USD 69m Record of innovation and capacity support • Conversion of Segregated Portfolio Company in 2014 • Allows new cells to be set up at low cost, benefiting from CCRIF’s infrastructure and expertise • Segregation of donor funds • Dedicated call management boards representing policyholders and donors • Product and reinsurance innovation • Development of excess rainfall product • First World Ban Catastrophe Bond • Introduction of a “Deductible Layer” to ensure at least partial repayment of premium if there is a state of emergency declared but the main programme does not trigger • 3 year reinsurance deal placed in 2017 © 2016 Willis Towers Watson. All rights reserved. Proprietary and Confidential. For Willis Towers Watson and Willis Towers Watson client use only. Proven, and continuously innovating
  • 16. Africa Risk Capacity Introduction to African Risk Capacity (ARC) and ARC Ltd n Inspired by CCRIF but adding more explicit risk management / contingency planning n A sovereign risk pool designed to provide immediate financial response if there is a drought n Coverage: § 2014/15 4 countries covered § 2017/18 8 countries covered § Within 4 years 20+ countries covered n Cover is triggered by a parametric index developed with the World Food Programme, based on staple crop rainfall requirements n Rainfall is measured by a network of satellites at a 10km x 10km square resolution, proofed by ground observation ARC Members as at March 2015 (Mali joined in April) 16
  • 17. African Risk Capacity 17 Risk Management Benefits § Countries spend up to a year working with ARC experts to understand the drought risk in their countries § Countries are also required to draft a Disaster Response Plan, outlining how insurance recovery will be spent to maximise impact . § They must also obtain a Certificated of Good Standing to demonstrate good financial management so money’s received will be put to appropriate use § Post loss they must further provide a Final Implementation Plan, refining the draft Disaster Response Plan to determine a precise plan of action to maximise the societal benefit of the cash received The process of buying cover is arguably as important as the cover itself
  • 18. Reinsurance Risk Appetite Example: African Risk Capacity 18 How has reinsurance appetite changed over the last 8 years? It is interesting to compare to the experience of trying to place the African Risk Capacity for the first time in 2014 compared to the experience of CCRIF when it launched 7 years earlier ARC “flew off the shelves” despite a contract structure that was tough to understand, unknown modelling and very competitive pricing African Risk Capacity in 2014 CCRIF in 2007 Interest from 25+ reinsurers and funds-backed markets Interest from circa 8 reinsurers 15 quotations received 5 quotations received 12 reinsurers on contract 3 reinsurers on the contract Very keen price Very keen price
  • 19. Coast 19 Insurance linked to sustainable fisheries US State Department led § Aim to use insurance as an incentive towards a sustainable fisheries policy Initial focus Caribbean § A new cell has been formed in CCRIF to support the initiative Countries must have a sustainable fisheries policy § In order to be eligible for insurance Like ARC contingency plans post event must be developed § Which may include retraining fisher-folk post event to reduce the fleet Premium subsidy may be linked to speed countries move to sustainability § If you do what you say you will get rewarded, back-slipping costs Potential “Resilience Dividend” if no insurance loss § A partial refund of premium, but money must be spent increasing resilience Traditionally insurance is seen as incentivising good risk management behaviour but here arguably discounted insurance is the reward for sustainable, risk aware behaviour. © 2016 Willis Towers Watson. All rights reserved. Proprietary and Confidential. For Willis Towers Watson and Willis Towers Watson client use only.
  • 20. The Elephant in the Room 20 Basis Risk: Basis Risk IS Manageable Basis Risk is inevitable for any insurance scheme § Even indemnity covers have policy conditions that can limit payment § But for parametric covers the risk is real Good product design minimises basis risk • Modelled loss based products • Alternative triggers, pay on either • eg one based on satellite derived data and another on ground-observation data • Hybrid schemes: parametric element for speed, indemnity element for certainty Or, like CCRIF, introduce a deductible layer § Pays where there is a state of emergency but no triggered loss § Amount liked to premium of main policy and set by agreed formula Or, like discussed for Coast, Consider a “resilience discount” • Return of premium if no loss occurs • But that return, the resilience dividend, must be either spend now on sustainability projects or held as a private pool for use when needed (eg top-up for claim monies post event) © 2016 Willis Towers Watson. All rights reserved. Proprietary and Confidential. For Willis Towers Watson and Willis Towers Watson client use only.
  • 21. Potential Schemes for the Pacific 21 Compliment rather than compete with PCRIC The key will be to augment what PCRIC will offer. Some potential additional areas to develop include: § Agriculture/crop (per ARC and/or other templae examples) § Livestock (covered indirectly by ARC but explicitly with some work WTW are doing with WFP) § Fisheries (using the COAST programme proposed for the Caribbean under CCRIF as an example) § Aquaculture § Government Infrastructure § Green infrastructure (eg reefs) § National Domestic/SME property schemes (WTW are broker to a number of national schemes and have been involved in the creation of many) • Pool Municipal Risk (eg work in Philippines – more recently with ADB) Identify a scheme that meets a real need asap • it will act as a magnet for donor support • Don’t let poor data be an excuse for no action © 2016 Willis Towers Watson. All rights reserved. Proprietary and Confidential. For Willis Towers Watson and Willis Towers Watson client use only.
  • 22. Conclusion 22 Re/insurance provides real benefits to developing countries Global re/insurance markets actively support developing country catastrophe schemes § We have not just financial capacity, but modelling and structuring expertise to share There are a variety of existing templates to consider § But the scheme for each national/regional must be designed to suit their specific needs Certain features attract both reinsurance markets and donor capital § Transparency is the key Data and modelling are important but there is no need to wait for perfection § The scheme can grow and develop over time § Move to a more technical trigger as enhanced data and modelling become available (CCRIF) § Or like Fonden, a hybrid with both parametric and indemnity elements Schemes can be constructed to encourage transfer or risk management expertise § CCRIF, ARC and COAST are great examples of the possible Reinsurers have a big appetite for developing market catastrophe risk § The price must be technically credible: the higher the uncertainty, the higher the price § But Pacific risk is diversifying, capital charges loads should be low making cover affordable
  • 23. The Role of Insurance and Reinsurance in Disaster Risk Management David Simmons Managing Director: Capital, Science and Policy Practice Email: david.c.simmons@willistowerswatson.com Phone: +44 20 3124 8917 Mobile: +44 7947 383777 23