Together tackling the next natural disaster and extreme weather …8bbb9737-6422-445… · 6.1 %...
Transcript of Together tackling the next natural disaster and extreme weather …8bbb9737-6422-445… · 6.1 %...
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Together tackling the next natural disaster and extreme weather event
ANZ Webinar8th May 2019
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Stephen Higginson - Head Sales & Distribution, Swiss Re Corporate Solutions
Clarence Wong - Chief Economist Asia, Swiss Re Institute
Jane Sexton - Director - Hazard & Risk Infrastructure and Applications Section, Geoscience Australia
Alex Pui - Nat Cat Specialist APAC, Swiss Re Corporate Solutions
Andre Martin Head Innovative Risk Solutions APAC,Swiss Re Corporate Solutions
Exposure: Tropical Cyclone causing wide area damage and loss of attraction to island resort
Protection for the pure economic impact unrelated to physical damage
Your Panel of Speakers
Welcome & Introductions
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Clarence WongChief Economist Asia, Swiss Re Institute
ANZ Webinar8th May 2019
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68%
of economic losses caused by natural catastrophes over the past decade were
uninsured
Number of events: 304
Total economic losses: USD 165 billion
Insured losses: USD 85 billion
Number of victims: 13 500+
Insured losses above 10-year average of USD71 billion
Economic losses increased >7 times since 1970
Catastrophe losses in 2018 – number of disasters same while total losses declined compared to 2017
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68%
of economic losses caused by natural catastrophes over the past decade were
uninsured
Insured vs uninsured losses, globally1970-2018, in USD billion at 2018 prices
5.5%Growth in ECONOMIC losses
6.1% Growth in INSURED losses
0
50
100
150
200
250
1970 1975 1980 1985 1990 1995 2000 2005 2010 2015
ECONOMIC loss (10-year moving average)
INSURED loss (10-year moving average)
Source: Swiss Re Institute
Only one third of the economic loss is covered
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70%Source: Swiss Re Institute and Swiss Re Non-Life Risk Transformation.
Protection gap by regions (2009-2018)
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• Economic losses: USD 15.5 billion (Jebi: USD 12 billion; Trami: USD 3.5 billion)
• Insured losses: USD 12.5 billion (Jebi: USD 9.8 billion ; Trami: USD 2.7 billion)
• More than 52 000 buildings damaged (more than 50 000 from Jebi and around 2000 from Trami)
Typhoon Jebi and Trami (Japan) in Sep and Oct 2018
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• Worst event in 100 years:
– Heavy rainfall resulted in massive flooding across the state
– Affected key sectors like tourism, plantation and general trade
• Economic losses: USD 3.5 billion
• Insured losses: USD 359 million
• Victims: More than 500
Kerala Floods (India) in Aug 2018
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Jane SextonDirector – Hazard & Risk Infrastructure and Applications Section, Geoscience Australia
ANZ Webinar8th May 2019
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© Commonwealth of Australia (Geoscience Australia) 2019
Disaster Risk Resilience in Australia
Overview and contributions from Geoscience Australia
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© Commonwealth of Australia (Geoscience Australia) 2019
Just released
Priority 1: Understand disaster risk
Priority 2: Accountable decisions
Priority 3: Governance, ownership and responsibility
Priority 4: Enhanced investment
© Commonwealth of Australia 2019
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© Commonwealth of Australia (Geoscience Australia) 2019
Key messages• Shared responsibility
– i.e. mainstream disaster risk in government policy
• Increasing availability of data and information for decision making
• Consumers being aware of their risks to make decisions
• Risk informed infrastructure development
Collaborating to build a resilient future
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© Commonwealth of Australia (Geoscience Australia) 2019
GA capability
Hazard and risk assessments,
Scenarios
Event support
Post-disaster surveys
National datasets
Open source software
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© Commonwealth of Australia (Geoscience Australia) 2019
Probabilistic Hazard
www.ga.gov.au/nsha
www.ga.gov.au/ptha
www.ga.gov.au/tcha
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Alex PuiNat Cat Specialist, Swiss Re Corporate Solutions
ANZ Webinar8th May 2019
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Framework to Assess Climate Risks
Central Banks and financial regulators to Firms : “Adapt or you will NOT exist in the new world”*
Physical Risk
• Impacts today on insurance liabilities and the value of financial assets due to weather and climate related events
• E.g: Property damage & disruption of trade from weather related events such as flood, storms, sea level rises and hurricanes
Transition Risk
• The financial risks that could result from the process of adjustment towards a low carbon economy
• Risks that arise from changes in policy, technology and physical risks
Liability Risk
• The future impacts if parties who suffered loss from climate change seek compensation
*Source: Network for Greening Financial System (NGFS – which consists of 34 central banks) official statement, April, 2019 (https://www.bbc.com/news/world-47965284)
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An integrated approach to Disaster Risk Management adds economic value
Leveraging tools such as climate change projections and catastrophe modelling expertise to improve resilience
Exposure Resilience
Risk Mitigation
Hazard Models
Climate Projections
Economic Loss
Driven by climate policy, technological change, latest scientific findings
Catastrophe Modelling of physical assets, insurers traditionally have expertise in this domain
Take pro-active decisions to manage climate physical risk
Risk Transfer
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Andre MartinHead Innovative Risk Solutions APAC, Swiss Re Corporate Solutions
ANZ Webinar8th May 2019
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Traditional insurance is indemnity based
Repair / replacement of damaged asset and indemnification for consequential loss incurred
Parametric insurance insures the probability of a
pre-agreed event occurring
Rely on measurement of a triggering event or indexeg. EQ magnitude, Temperature, Wind Speed, Precipitation
“Too Much or Too Little”
Independent from underlying asset
Quick formulaic Payout if pre-defined parameters are met or exceeded
Choice of Trigger / Index
Objectivity: independent, verifiable data
Reliability: data source to provide consistent and timely measurement
Availability: historical statistical records to allow modelling
Correlation: proxy for economic loss sustained Basis Risk (Difference between pay-out and actual loss sustained)
Parametric insuranceFundamental principles
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When and Why?
• “Uninsurable” perils or asset classes (eg. inclement weather, T&D lines)
• Pure economics loss without physical damage (Non-damage BI, Supply chain disruption
• Scarce NatCat capacity: EQ Japan, (access to capital markets)
• Liquidity enhancement when fast payoutis crucial (Emergency relief actions, Share price impact)
Example : Cat-in-a-circle Philippines
Wind intensity category
Payout per event (subject to overall AAL of USD 30m)
Cat 3 USD 5m
Cat 4 USD 15m
Cat 5 USD 30m
Case 1: Cat 4 Hurricane track misses circle. No payout
Case 2: Cat 4 Hurricane track hits circle. $15M payout
Case 3: Cat 1 Hurricane track hits circle. No payout
Complementing traditional insurance for pure economic losses and protection gaps
Parametric insuranceValue proposition
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HazardProbability
Asset Distribution
VulnerabilityRisk Quality
Insurance Structure
wind speed
loss
(%)
loss
(%)
wind speed Proceeds can beused at the full discretion of theinsured
Payment of the pre-agreed amount is made within 30
business days
The trigger event exceeds the pre-agreed threshold
Event is reported by Independent
Agency i.e. Bureau of Meteorology
Trigger event occursi.e. Typhoon of certain category
Parametric insuranceTransparency and simplicity
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Parametric NatCat
Weather
Non-Weather
Market Indices
Typhoon• Storm category• Wind Speed
Earthquake• Magnitude• Shaking
Intensity
Flood / Drought• Precipitation• River Levels
Inclement Weather• Precipitation• Temperature• Wind / Wave Action• Haze
Resource Risk• Wind / Solar Hedge• Crop Yield Index
• RevPAR / Occupancy Rates• Insolvency of key supplier• Bushfire• Volcanic Eruption• Pandemics
Double Trigger:Combination with economic index:• CPI• Power Price• Commodity Prices
• Airport Closure• Regulatory Shutdown• Loss of License
Index based insurance in practiceApplications predominantly for weather and NatCat events
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Triggering event: Typhoon passing through a defined Indemnification Zone (“Cirlce”)
Indemnification Zone defined by economic impact assessment
Formulaic Payout as function of reported storm category
Payout Structure derived from modelled scenarios validated by historical events
Motivation: protection for “non-damage” economic losses and access additional NatCat capacity
Exposure: Tropical Cyclone causing wide area damage and loss of attraction to island resort
Protection for the pure economic impact unrelated to physical damage
Cat-in-a-circle trigger
Parametric structure
Tropical Cyclone in North QueenslandLoss of attraction and “non-damage” economic losses
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Questions & Answers
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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.