climate change & financial institutions · "climate change is likely to be one of the...
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Climate Change & Financial InstitutionsNational Development Banks and Financing Adaptation InvestmentsOctober 15, 2015
Challenges & Lessons Learned | October 15, 2015
The growing burden of uninsured lossesNatural catastrophe losses 1970 – 2014 (in 2014 USD)
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0
50
100
150
200
250
300
350
400
450
1970 1975 1980 1985 1990 1995 2000 2005 2010
Uninsured losses
Insured losses
10-year moving average insured losses
10-year moving average total economic losses
Source: Swiss Re Economic Research & Consulting and Cat Perils.
Challenges & Lessons Learned | October 15, 2015
Growing consensus on the macroeconomic impact of natural events
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"Natural Disasters Can Damage Sovereign Creditworthiness”Storm Alert: Natural Disasters Can Damage Sovereign Creditworthiness, September 2015
"Climate change is likely to be one of the global mega-trends impacting sovereign creditworthiness…. Government budgets could come under additional pressure as disaster recovery and emergency support for affected populations is likely to fall on the state in most cases."Climate Change is a Global Mega Trend for Sovereign Risk, May 2014
"Finance Ministries play a pivotal role in DRM strategies [by] ensuring proper fiscal management of disaster risks by anticipating potential budgetary impacts and planning ahead to ensure adequate financial capacity and rapid release of funds, thus enabling emergency response, reconstruction of public assets and infrastructure, and targeted financial assistance." Disaster Risk Assessment and Risk Financing - A G20/OECD Methodological Framework
Challenges & Lessons Learned | October 15, 2015
How to close the protection gap
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gap
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Which risk?
Governments
Who carries the risk?
PoolingInsurance schemes and pools
to increase insurance penetration
MacroRisk transfer solutions
for (sub)sovereigns to cover their direct or indirect costs
MicroSimplified products distributed
via aggregators such as MFIs, NGOs, and corporates
Risk transfer solution
Businesses, homeowners,
farmers
Public physical assets
Emergency response costs
Foregone revenue
Uninsured private assets
Livelihood assistance
Pro
tecti
on
ga
p
Individuals
Challenges & Lessons Learned | October 15, 2015
Financing is a pillar of integrated disaster risk management
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Adaptation
Identification
Assessment
Prevention & mitigation
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What risks do we face?
•Systematic•Cross-sectoral
Can we quantify it?
• Frequency• Severity
How can we minimize it?
• Improve quality
• Build new protection
How can we manage the residual risk?
• Change behavior
• Pre-finance• Risk transfer
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Challenges & Lessons Learned | October 15, 2015
Economic Rationale
Reduce long term funding costs by transferring peak risks to insurance markets
Protect fiscal space for other uses as insurance is a non-debt instrument
Ability to target funding cost relative to coverage needed
Benefits to Pre-Event Financing
Market Rationale
Setting price benchmark on risk of an event
Opening market for corporations and individuals to hedge risk using similar instruments
Broadening insurance expertise by increasing relevance of local risk in global insurance sector
Challenges & Lessons Learned | October 15, 2015 7
Case study Mexico: MultiCat - Funding for immediate relief efforts after disasters
Solution features Insured perils: Earthquake and hurricane
Payments to be used for immediate emergency relief after a disaster
Parametric catastrophe bond: USD 315 m
Trigger type: Index
Earthquake: physical trigger (quake magnitude)
Hurricane: physical trigger (barometric pressure)
Time horizon: October 2012 – November 2015
Renewed cat bond launched through the World Bank’s MultiCatfacility and third cat bond for Mexico
Involved parties Insured: Fund for Natural Disasters (FONDEN) of Mexico
Reinsured: AGROASEMEX S.A.
Arranger: World Bank Treasury
Swiss Re: Co-lead manager and joint bookrunner
Challenges & Lessons Learned | October 15, 2015 8
Case study Uruguay: Largest Energy Risk Transfer to Protect Against Drought Risk
Solution features
Insured peril: Drought
Payments to be used to purchase energy from alternative sources when drought conditions cause lack of hydro power
Derivative contract: between UTE, Uruguayan state-owned hydro-electric power company, and World Bank Treasury. Risk is then placed in the market
Payment mechanics:
Trigger: Level of rainfall monitored at weather stations
Settlement: Market price of brent crude oil
Time horizon: January 2014– July 2015
Transaction Size: USD 450 m Largest of its kind in the weather risk management market
Involved parties
Client: UTE (Uruguayan state-owned power company)
Arranger: World Bank Treasury
Risk Takers: Swiss Re and Allianz
Challenges & Lessons Learned | October 15, 2015 9
Case study Caribbean:CCRIF Excess Rainfall Coverage
Solution features• In July 2014, the CCRIF added a third peril to their program by
offering excess rainfall insurance to their members• 12 countries purchased the coverage that triggers when the
modelled loss exceeds the defined country threshold • Loses are determined based on 2-3 day rainfall totals and the
country exposure values • Utilizes Kinetic Analysis Corporation’s (KAC) high resolution data
that is a compilation of satellite and ground observations • Deductible for the CCRIF is USD 7 m and Swiss Re provides
reinsurance with a limit of USD 35 m
Involved parties• Reinsurer: Swiss Re • Product designed by: CCRIF, KAC and Swiss Re• Calculation agent: KAC
Payouts to date• Anguilla: USD 493k (Oct 2014) and USD 559k (Nov 2014)• St Kitts and Nevis: USD1m (Nov 2014)• Barbados: USD1.2m (Nov 2014)
Challenges & Lessons Learned | October 15, 2015 10
Challenges & Lessons Learned | October 15, 2015
Legal notice
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The information and opinions contained in the presentation are provided as at the date of the presentation and are subject to change without notice. Although the information used was taken from reliable sources, Swiss Re does not accept any responsibility for the accuracy or comprehensiveness of the details given. All liability for the accuracy and completeness thereof or for any damage or loss resulting from the use of the information contained in this presentation is expressly excluded. Under no circumstances shall Swiss Re or its Group companies be liable for any financial or consequential loss relating to this presentation.