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sigma No 5/2015: Underinsurance of property risks: closing the gap Swiss Re Economic Research & Consulting

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Page 1: sigma No 5/2015: Underinsurance of property risks: closing ... · wan y e n s d o y a l a USA l a d a a m a a a y 0.0% 1.0% 2.0% 3.0% 4.0% 5.0% 6.0% wan s g o USA m rk m n a a s e

sigma No 5/2015:Underinsurance of property risks: closing the gap

Swiss Re Economic Research & Consulting

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Outline

2

How big is the natural catastrophe protection gap?

The global shortfall in property insurance

Dealing with underinsurance

2

1

3

Conclusions5

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3

How big is the natural catastrophe protection gap?

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Global natural catastrophe losses totalled USD 1.8 trillion* over the last decade, with 70% uninsured

* in 2014 dollarsSource: Swiss Re Economic Research & Consulting and Cat Perils.

0

50

100

150

200

250

300

350

400

450

1970 1975 1980 1985 1990 1995 2000 2005 2010

Insured losses Uninsured losses

USD billion

• The global natural catastrophe property protection gap has risen steadily over the last 10 years

• 70% of the economic losses, or USD 1.3 trillion, were uninsured

30%

70%

USD 1.3 trillionuninsuredlosses*

USD 548 billion insuredlosses*

Uninsured losses last 10 years

USD 1.3 trillion

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Natural catastrophe protection gapby region and peril, 1975-2014

5

• Average uninsured portions have been around 55% for windstorms, 86% for floods, and 90% for earthquakes.

In the emerging markets, 80-98% of the losses are uninsured.

Source: Swiss Re Economic Research & Consulting and Non-Life Risk Transformation.

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Expected insured and uninsured losses from natural catastrophes

6

35 30 25 20 15 10 5 0 5 10 15 20 25 30 35

DenmarkCzech Republic

PolandSouth Africa

New ZealandHong Kong

IsraelAustria

PortugalSwitzerland

BelgiumColombiaAustralia

FranceUnited Kingdom

BrazilNetherlands

ChileIndia

CanadaGermany

IndonesiaPhilippines

TurkeyTaiwan

ItalyMexico

ChinaJapan

USA

Insured EQ Insured flood Insured wind

Uninsured EQ Uninsured f lood Uninsured wind

insured uninsured

Catastrophe models estimate the global annual uninsured losses from future natural disaster events to be USD 153 billion

The largest uninsured natural catastrophe exposures are in the US, Japan, and China

USD bn

Source: Swiss Re Economic Research & Consulting and Non-Life Risk Transformation.

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Although the US is highest in terms of absolute uninsured value exposed…

• Smaller countries and emerging markets are likely to lose significant portions of GDP due to major catastrophes.

• Urbanization in emerging markets has contributed to higher property concentrations in risky areas.

Many other economies are highly exposed as a % of GDP

7

0.0%

2.0%

4.0%

6.0%

8.0%

10.0%

12.0%

14.0%

Ta

iwan

Tu

rke

y

Chile

Jap

an

Ph

ilipp

ines

New

Zea

land

Me

xic

o

Italy

Indo

nesia

Isra

el

Colo

mbia

US

A

Po

rtug

al

Can

ad

a

Sw

itze

rlan

d

Au

str

ia

Chin

a

Be

lgiu

m

India

Au

str

alia

So

uth

Afr

ica

Germ

an

y

0.0%

1.0%

2.0%

3.0%

4.0%

5.0%

6.0%

Ta

iwan

Ph

ilipp

ines

Hon

g K

on

g

Me

xic

o

US

A

Unite

d K

ing

do

m

Den

ma

rk

Be

lgiu

m

Jap

an

Chin

a

Au

str

alia

Neth

erl

an

ds

Fra

nce

Au

str

ia

Sw

itze

rlan

d

Ge

rma

ny

India

Source: Swiss Re Economic Research & Consulting and Non-Life Risk Transformation.

One-in-100 year storm loss scenarios (% of GDP)One-in-250 year earthquake loss scenarios (% of GDP)

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8

The global shortfall in property insurance

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Benchmarking property underinsurance - Insurance penetration vs. consumption per capita

9

0.0%

0.2%

0.4%

0.6%

0.8%

1.0%

1.2%

1,000 10,000 100,000

Consumption per capita in 1000 USD, logarithmic scale

Property insurance penetration (premiums as a % of GDP)

Source: Swiss Re Economic Research & Consulting

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Benchmarking property underinsurance - Insurance penetration vs. consumption per capita

10

0.0%

0.2%

0.4%

0.6%

0.8%

1.0%

1.2%

1,000 10,000 100,000

sample data s-curve

Consumption per capita in 1000 USD, logarithmic scale

Property insurance penetration (premiums as a % of GDP)

Source: Swiss Re Economic Research & Consulting

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Benchmarking property underinsurance - Insurance penetration vs. consumption per capita

11

0.0%

0.2%

0.4%

0.6%

0.8%

1.0%

1.2%

1,000 10,000 100,000

sample data s-curve best-practice benchmark

Consumption per capita in 1000 USD, logarithmic scale

Property insurance penetration (premiums as a % of GDP)

Source: Swiss Re Economic Research & Consulting

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Benchmarking property underinsurance - Insurance penetration vs. consumption per capita

12

0.0%

0.2%

0.4%

0.6%

0.8%

1.0%

1.2%

1,000 10,000 100,000

sample data s-curve best-practice benchmark

Consumption per capita in 1000 USD, logarithmic scale

Property insurance penetration (premiums as a % of GDP)

underinsurance

Source: Swiss Re Economic Research & Consulting

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• For the broader scope of property risks – including fire, burglary and water – and business interruption risks, underinsurance can be estimated by the difference between best-practice countries and those with lower insurance penetration rates (premiums as a % of GDP).

• A global benchmarking of insurance penetration across nations suggests an additional general underinsurance protection gap of USD 68 billion worldwide. With the USD 153 billion underinsurance for catastrophe, this totals USD 221 billion annually of underinsurance.

• Of the countries most underinsured relative to GDP, many are high-growth economies. Buying insurance still lags in these economies, even though they have a rapidly growing middle class which is accumulating substantial new wealth.

Benchmarking property underinsurance – demand lags in many emerging economies

13

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1414

Dealing with underinsurance

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• Insurability: Certain risks such as some peak natural catastrophe, terrorism, cyber or contingent business interruption risk, can challenge the bounds of insurability.

• Buying behavior: Factors like perception of risk, insurance knowledge, affordability, reliance on government post-disaster relief, trust in insurers and ease of doing business can hinder adequate take up of cover, especially in new markets.

• Undervaluation: Valuing properties at less than replacement value means that insurance policies may not fully cover the total damages.

Underinsurance explained

15

Completely uninsured

Insured for certain perils

Undervaluation of assets

Restrictive policy terms

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• Risks that are hard to prepare for and sometimes not fully insurable

– Lacking historical data

– Difficult to measure or model

• These difficult-to-insure risks include

– New scenarios that have not occurred previously

– Human behaviour, deliberate avoidance of prediction

Difficult-to-insure risks contribute to underinsurance

16

Source: Allianz Risk Barometer 2015

29%

18%

16%

7%6%

0%

5%

10%

15%

20%

25%

30%

35%

Cyber risks Businessinterruption and

supply chain

Naturalcatastrophes

Political/socialupheaval

Terrorism

Top risks for which businesses are least prepared

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• The US is home to the “peak” natural disaster risks of Atlantic hurricanes and west coast earthquakes.

• US property values are growing faster rate than GDP and inflation. Total insured property values are estimated to be more than USD 90 trillion, with only USD 40 trillion insured.

• Consumer awareness and buying behavior is an important challenge:

– Surveys in New York after Hurricane Sandy in 2012 showed that only 54% of residents whose homes were less than a block away from a body of water had flood insurance.

– Earthquake insurance take-up in California is only 12%, lower than other high earthquake risk regions such as New Zealand and Japan.

• Undervaluation is a core reason for underinsurance:

– A large 2014 sample of commercial property in the US and Canada revealed that properties with limits below USD 20 million (representing 95% of the sample) were under-valued by an average 26%.

The US has the most uninsured losses of any country

17

Sources: Karen Clark & Co, CoreLogic, Wharton Risk Center, Swiss Re Economic Research & Consulting

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18

How can we close the underinsurance gap?

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Dealing with underinsurance: Who needs to be involved to reduce underinsurance?

19

Source: Swiss Re Economic Research & Consulting

Measures which promote risk mitigation or expand insurabilityMeasures Objectives Agents

Affordability of coverage

Improve product

design

Increaseaccess and distribution

Insurance industry

Government Public-private partnerships

Product innovation

Microinsurance

Index-based insurance

Product bundling

New technologies and distribution innovation

Government setting the rules for the insurance market

Developing the takaful sector

Mitigation, building standards, and zoning

Mandatory insurance programs

Government- backed programs for risks that are not fully insurable

Public sector insurance programs

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20

Conclusions

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• The global shortfall in insurance cover for property risks is estimated at USD 221 billion per year.

• The challenge for the insurance industry is to focus on the needs of those who are totally or insufficiently insured.

• Government support in risk mitigation and insurance market governance is key for success.

• Further innovation in products, processes, and distribution are needed to reach previously uninsured consumers and risks.

Conclusions

21

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Legal notice

22

©2015 Swiss Re. All rights reserved. You are not permitted to create any modifications or derivative works of this presentation or to use it for commercial or other public purposes without the prior written permission of Swiss Re.

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.

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Underinsurance, Economics & Politics in the United States

Minding the Gap

Insurance Information Institute

September 28, 2015

Robert P. Hartwig, Ph.D., CPCU, President & Economist

Insurance Information Institute 110 William Street New York, NY 10038

Tel: 212.346.5520 Cell: 917.453.1885 [email protected] www.iii.org

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UNDERSINSURANCE: POLITICAL AND ECONOMIC

CONSIDERATIONS IN THE U.S.

24

Vulnerable Economic Development, Subsidies and

Underinsurance Are Inextricably Intertwined

24

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25

The Four Types of Underinsurance

1. Entirely Uninsured

People/Businesses in this group buy no insurance at all because:

– Unaware of it

– Belief that cost outweighs benefit

2. Insured, but Certain Perils Excluded

Covered for many perils but some are excluded (e.g., flood, earthquake)

Fail to completely insurer because:

– Unaware of availability of coverage

– Belief that cost outweighs benefit

– Lack of available coverage

3. Insured, but Policy Terms Restrictive

Coverage is restrictive/limited, often due to limits of insurability

4. Insured, but Undervalued

Perils are covered and level of coverage meets stated demand, but exposures are undervalued

Source: Swiss Re Economic Research & Consulting, sigma no. 5/2015.

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26

Factors Influencing the Decision to Buy Property Insurance1. Risk Awareness

Vulnerability to (natural disaster) risk often poorly understood

Awareness does not necessarily lead to insurance purchases

Lack of awareness; perceptions on low-probability events

2. Knowledge about Insurance Products and their Availability

Insurance ‘literacy’ is key

Understanding of what’s covered, limits, premiums, claims process often lacking

3. Affordability

As with any product, insurance buyers are price sensitive

Budget constraints could be binding for low-income consumers

4. Trust in Insurers

Stories of claim disputes, litigation have impact

5. Ease of Buying Insurance Products

Insurance products are intangible and may seem abstract to many consumers

6. Reliance on Government Aid as a Substitute for Insurance

Widespread expectation of government aid can reduce incentives to buy insurance, leading to a crowding out of private sector solutions

Source: Swiss Re Economic Research & Consulting, sigma no. 5/2015.

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27

10% 14%

40%

52%62%

87%95% 99%

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

CA

Earthquake

Flood Renters Cyber Terrorism Pvt.

Passenger

Auto

Home Workers

Comp

Sources: CA Earthquake (WSJ, http://www.wsj.com/articles/california-pushes-homeowners-to-insure-against-earthquakes-1440980138 ); Flood and Renters (I.I.I. June 2015 Pulse Survey); Cyber (Advisen, 2015); Terrorism (Marsh Global Analytics, 2014 Terrorism Risk Insurance Report, April 2014; data for 2013); Pvt. Passenger Auto (Insurance Research Council, Uninsured Motorists, 2014 Edition, data for 2012); Home and Workers Comp (I.I.I. estimates); Insurance Information Institute research.

Take-Up Rates for Various Types of Insurance in the U.S.

Take-Up Rate

Take-up rates vary widely

by type of coverage

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PROPERTY UNDERINSURANCE: A BY-PRODUCT OF A RATIONAL

ECONOMIC AND POLITICAL PROCESS?

28

Consumers, Politicians Act in their Own Self-Interest

Underinsurance Results

28

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Excessive Catastrophe ExposureUnderinsurance:Outcomes of Economically & Politically Rational Decision Process?• Property Owners

Make economically rational decision to live in disaster-prone areas

Low cost of living, low real estate prices & rapid appreciation, low/no income tax, low property tax, rapid job growth

Government-run insurers (e.g., FL Citizens, NFIP) often provide implicit subsidies by selling insurance at below-market prices, fewer underwriting restrictions

Government aid, tax deductions, litigation recovery for uninsured losses

No fear of death and injury

• Local Zoning/Permitting Authorities Allowing development is economically & politically rational & fiscally sound

Residential construction creates jobs, attracts wealth, increases tax receipts, stimulates commercial construction & permanent jobs, develops infrastructure

Increases local representation in state legislature & political influence

Property and infrastructure damage costs shifted to others (state and federal taxpayers, policyholders in unaffected areas)

• Developers Coastal development is a high-margin business

Financial interest reduced to zero after sale Source: Insurance Information Institute.

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• State Legislators Loathe to pass laws negatively impacting development in home districts

Local development benefits local economy and enhances political influence

Rapid development lessens need for higher income and property taxes

Can redistribute CAT losses to unaffected policyholders and taxpayers

Can suppress insurance prices via state insurance regulator, suppress pricing and weaken underwriting standards in state-run insurer & redistribute losses

• Congressional Delegation Home state development increases influence in Washington

– Political representation, share of federal expenditures

Loathe to pass laws harming development in home state/district

Tax law promotes homeownership and actually produces supplemental benefits for property owners in disaster-prone areas

Large amounts of unbudgeted disaster aid easily authorized

Tax burden largely borne by those outside CAT zone & those with no representation (children & unborn)

• President Presidential disaster declarations and associated aid are increasing

Political benefits to making declarations and distributing large amounts of aid

Direct impact on favorability ratings & election outcomes

Losses can be distributed to other areas and the unrepresented Source: I.I.I.

Excessive Catastrophe ExposureUnderinsurance:Outcomes of Economically & Politically Rational Decision Process?

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Negative Outcomes from Subsidies and Flawed Design of Govt.-Run Insurers

• True risk associated with building activity is obscured

• Subsidies lead to market distortions/inequities:

Many thousands of homes likely would not have been built (or built differently) if property owner obligated to pay actuarially sound rates

• Serial rebuilding in disaster-prone areas is the norm

• Property owners come to assume that the government rate is the “fair” rate and object to moves to actuarially sound rates.

• Government-run insurer can’t control its own exposure

Legislature mandates for govt. coverage in most cases if no private insurer will offer coverage due to high risk, near certainty of destruction

• Taxpayer Burden: NFIP is $20B+ in debt

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CONSUMER AWARENESS AND UNDERINSURANCE

32

Education of the Public Is a Difficult, Continuous Process

Case Study: Flood Insurance

32

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33

I.I.I. Poll: Home Insurance

Source: Insurance Information Institute Annual Pulse Survey.

29% 31%35%

37%40%

10%

20%

30%

40%

50%

60%

70%

2011 2012 2013 2014 2015

The Percentage of Renters Who Have Renters Insurance Has Been Rising Since 2011.

Q. Do you have renters insurance? 1

1Asked of those who rent their home.

Americans are increasingly choosing to rent, but are slow to understand the

need to insure, exacerbating the underinsurance gap

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34

I.I.I. Poll: Home Insurance

Q. Does your homeowners policy cover damage from flooding during a hurricane?1

1Asked of those who have home insurance.

Source: Insurance Information Institute Annual Pulse Survey.

More Than Half of Homeowners Know Their HO Insurance Does Not

Cover Flood From a Hurricane, But A Significant Proportion Either Think

It Does Or Do Not Know.

24%

56%

19%Don’t know Yes

No

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I.I.I. Poll: Home Insurance

34%

30%

14% 14%

24%

0%

10%

20%

30%

40%

South Northeast Midwest West Total U.S.

Suggests even greater educational efforts are

needed in these areas, in part to counter misinformation

35

Q. Does your homeowners policy cover damage from flooding during

a hurricane?1

Respondents answering “YES”

Homeowners in the South and Northeast Were Most Likely to Think Home Insurance Pays for Flood Damage.

1Asked of those who have home insurance.

Source: Insurance Information Institute Annual Pulse Survey.

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36

I.I.I. Poll: Superstorm Sandy Claims

Q. Do you think that the damages in these disputed claims from

Hurricane Sandy were covered by homeowners insurance or flood

insurance policies?1

Source: Insurance Information Institute Annual Pulse Survey.

Only 1/3 Third of Those Who Heard About Superstorm Sandy Claim Disputes Thought the Claims Were Related to Home Insurance while

43% Understood Correctly that the Claims are on Flood Policies.

33%

43%

24%

Don’t knowHome

insurance

Flood insurance

1Asked of those who had heard about disputes following Hurricane Sandy.

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37

Number of National Flood Insurance Program

Policies in Force at Year-End, 1980-2015*

Source: National Flood Insurance Program.

* As of July, 2015

2.1

04

2.0

17 2.4

78

3.4

77

4.3

69 4

.96

2

5.6

56

5.6

84

5.7

00

5.6

45

5.6

46

5.6

20

5.5

69

5.3

51

5.1

51

0

1

2

3

4

5

6

1980 1985 1990 1995 2000 2005 2007 2008 2009 2010 2011 2012 2013 2014 2015*

(milli

on

s)

The number of NFIP policies in force has

plunged by 549,000 or 9.6% since 2009, even

as coastal development surges and sea levels rise

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38

Number of National Flood Insurance Program

Policies in Force by Month, Mar. 2004 – Mar. 2015

Source: FEMA/NFIP.

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Florida’s Longest Spans Between Major Hurricanes

*As of Sept. 28, 2015

Source: Insurance Information Institute and flhurricane.com.

9.939.15

6.22

4.87

0

2

4

6

8

10

12

Oct. 24, 2005 -

???*

Aug., 31, 1856 -

Oct. 23, 1865

Sep. 4, 1979 -

Nov. 20, 1985

Oct. 12, 1987 -

Aug. 23, 1992

The current hurricane dry spell is now the longest in recorded history. Despite recent

low activity, it is not a question of “IF” a hurricane will hit Florida but “WHEN”

9 Y

ears

339 D

ays

6 Y

ears

249 D

ays*

6 Y

ears

79 D

ays*

6 Y

ears

317 D

ays*

Years

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Florida’s Longest Span Between Hurricanes

*As of Sept. 28, 2015

Source: Insurance Information Institute and flhurricane.com.

9.939.15

6.22

4.87

0

2

4

6

8

10

12

Oct. 24, 2005 -

???*

Aug., 31, 1856 -

Oct. 23, 1865

Sep. 4, 1979 -

Nov. 20, 1985

Oct. 12, 1987 -

Aug. 23, 1992

The current hurricane dry spell is now the longest in recorded history. Despite recent

low activity, it is not a question of “IF” a hurricane will hit Florida but “WHEN”

9 Y

ears

53 D

ays

6 Y

ears

249 D

ays*

6 Y

ears

79 D

ays*

6 Y

ears

317 D

ays*

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21st CENTURY RISKS

41

Insurers Are Working to Keep the Gap Small

Innovation Is the Key

41

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42

Terrorism Insurance Take-up Rates,By Year, 2003-2013

Source: Marsh Global Analytics, 2014 Terrorism Risk Insurance Report, April 2014 and earlier editions.

27%

49%

58% 59% 59%57%

61% 62%64%

62% 62%

0%

10%

20%

30%

40%

50%

60%

70%

80%

2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013

In 2003, the first year TRIA was in effect, the terrorism take-up rate was 27 percent. Since then, it has increased steadily, remaining in the

low 60 percent range since 2009.

TRIA’s high take-up rates, availability and affordability have benefitted businesses,

workers and the entire US economy since the program’s enactment

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43

Percentage of U.S. Companies Purchasing Cyber Insurance Increased in 2014

*Take-up rate refers to the overall percentage of clients that purchased standalone cyber insurance.

Source: Benchmarking Trends: As Cyber Concerns Broaden, Insurance Purchases Rise, Marsh Risk Management Research Briefing, March 2015

8%

12%

18%

21%

21%

22%

26%

32%

50%

16%

11%

13%

14%

17%

17%

16%

22%

45%

13%

6%Manufacturing

Communications, Media and Tech

Retail/Wholesale

Power and Utilities

Financial Institutions

Services

Hospitality and Gaming

Education

Health Care

All Industries

Take-up rate 2014* Take-up rate 2013

Ever larger numbers of insureds seek financial

protection via cyber insurance. The

percentage of U.S. companies buying cyber

insurance rose to 16 percent in 2014.

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44

Marsh: Total Limits Purchased, By Industry –Cyber Liability, All Revenue Size

Source: Benchmarking Trends: As Cyber Concerns Broaden, Insurance Purchases Rise, Marsh Risk Management Research Briefing, March 2015

$22.0

$4.2

$9.9 $10.5$9.5

$11.1$10.2

$13.2

$19.7

$6.7

$23.5

$10.5$12.0

$14.9

$21.0

$4.4

$22.2

$12.8

All Industries Comms, Media

& Technology

Education Financial

Institutions

Health Care Manufacturing Power and

Utilities

Retail/Wholesale Services

Avg. 2013 Limits Avg. 2014 Limits

Average limits purchased for cyber risk rose to $12.8 million for all industries and all company sizes in 2014. Power and utility companies witnessed the sharpest

percentage increase in average limits, at 59 percent.

($ Millions)

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45

The On-Demand/Sharing Economy: Insurers Are Minding the Gap!

The “On-Demand” Economy is or will impact many segments of the economy important to P/C insurers

Auto (personal and commercial)

Homeowners/Renters

Many Liability Coverages

Professional Liability

Workers Comp

Many unanswered insurance questions due to regulation and litigation, but…

Insurance solutions are increasingly available to fill the many insurance needs and gaps that arise

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www.iii.org

Thank you for your timeand your attention!

Twitter: twitter.com/bob_Hartwig

Insurance Information Institute Online:

46