PROPERTY CATASTROPHE REINSURANCE, DIVERSIFYING GUERNSEY'S (RE)INSURANCE INDUSTRY.

Similar documents
Alternative Risk Transfer Capital Markets Update

CRT Supplemental Hurricane Disclosure. November 13, 2017

INSURANCE-LINKED SECURITIES

1H 2014 Global Catastrophe Recap

Pioneer ILS Interval Fund

Insurance Linked Securities Chris Parry Aon Benfield Solutions

Results for the year ended 31 December 2011

Global reinsurance: current challenges and outlook

A.M. Best Market Briefing at the EAIC 2018

Reinsurance. Moses Ojeisekhoba, CEO Reinsurance Alison Martin, Head L&H Business Management Reinsurance

Underwriting comes first. Effectively balance risk and return. Operate nimbly through the cycle. Analyst Presentation Q3 2017

(initial Range est.)

Advances in Catastrophe Modeling Primary Insurance Perspective

Insurance-Linked Securities

Australia and New Zealand

This page intentionally left blank

Using Reinsurance to Optimise the Solvency Position in an Insurance Company

SPECIAL PURPOSE INSURERS - GUIDANCE NOTE

Insurance data sources and data needs: Private-sector perspectives. Raymond Yeung, Swiss Re OECD-Asia Regional Seminar, September 23-24, Kuala Lumpur

Reinsurance Market Update June 1 - Florida

Global Catastrophe Recap: First Half of 2017

Risk Mitigation and the role of (re)insurance

The development of complementary insurance capacity through Insurance Linked Securities (ILS)

Swiss Re investors and media meeting

Capital position and risk profile

Insurance-Linked Securities

Insurance-Linked Securities

Modeling Extreme Event Risk

Catastrophes and the Advent of the Use of Cat Models in Ratemaking

Overview on ILS; NatCat exposure. Juergen Graeber, Member of the Executive Board/COO non-life

Swiss Re s performance and strategy

Insurance-Linked Securities

Operating and financial review Zurich Financial Services Group Half Year Report 2011

Post July 2013 Renewal Update

UBS Swiss Equity Conference

A pioneer in ILS solutions

Business Performance & Strategy. Separate Financial Result as of FY

He holds the Chartered Property Casualty Underwriter and Associate in Reinsurance designations.

Solvency II: Capital Requirements, Groups & Equivalence

MULTI-LINE REINSURANCE

Swiss Re posts another strong quarterly profit of USD 802 million, contributing to a half-year net income of USD 2.0 billion

UBS Global Insurance Conference

Alternative Capital in the Insurance and Reinsurance Industry April 15 th, Willis Towers Watson. All rights reserved.

Report for the six months to June 30, 2012

The financial implications of climate change: the North East and beyond. Focus on Climate Change, Pace Energy and Climate Center, June 27, 2012

Montpelier Reinsurance Ltd. and its subsidiary. Consolidated Financial Statements December 31, 2014 and 2013 (expressed in millions of U.S.

Terrorism reinsurance market trends

Swiss Re and our Life & Health Reinsurance business

Allianz Re. Company Presentation. May Understanding Risk Creating Value

The right business mix for 2006

Montpelier Reinsurance Ltd. Consolidated Financial Statements December 31, 2010 and 2009 (expressed in millions of U.S. dollars)

Swiss Re s differentiation drives financial performance

Alternative Risk Transfer Mechanisms

Meeting the Challenges of Change

business of the United States not prone to natural catastrophes, rates are flat or have fallen by 5% to 10%.

INSURANCE. The perfect place for start-ups, innovative operations and niche providers BANKING MANAGEMENT

Conference Call on Half-yearly Report 2016

Anna Sweeney Director, Insurance Prudential Regulation Authority 7 December 2017

3. The global reinsurance sector

Willis Re 1st View. Plenty of capacity, plenty of capital. Renewals 1 April Contents. 1st View Willis Re Renewals 1 April 2008

INSURANCE MANAGERS ASSOCIATION OF CAYMAN - DOMICILE COMPARISON Updated at April 22, 2013 by BK.

THE INSURANCE BUSINESS (SOLVENCY) RULES 2015

MERCER SMARTDB TM A SMARTER APPROACH TO MANAGING LONGEVITY RISK

The Aon Benfield Aggregate. Full Year Ended December 31, 2010

Half Year Report 2011

Catastrophe Reinsurance Pricing

AIRCurrents by David A. Lalonde, FCAS, FCIA, MAAA and Pascal Karsenti

Publication of preliminary data on Official Development Assistance, 2011

SCOR Global P&C efficiently addresses the different market dynamics. VICTOR PEIGNET, CEO of SCOR Global P&C

Merrill Lynch Banking & Insurance CEO Conference 2006

Strategic positioning in a competitive market

Insurance-Linked Securities

Goldman Sachs 18 th Annual European Financials Conference. Edouard Schmid, Head Property & Specialty Reinsurance Madrid, 10 June 2014

Fundamentals of Catastrophe Modeling. CAS Ratemaking & Product Management Seminar Catastrophe Modeling Workshop March 15, 2010

Alternative Risk Markets

PartnerRe Ltd. Reports Second Quarter and Half Year 2018 Results

Cat Modelling Real World vs. Model World

News release. Swiss Re reports first quarter 2018 net income of USD 457 million; public share buy-back programme to start on 7 May 2018

Nat Cat reinsurance trends in CEE. Thierry S Pelgrin, Head of Continental Europe, Sompo Canopius Re, Zurich

Swiss Re Media Conference. Monte Carlo, 10 September 2018

Natural Catastrophes in the Bond Market - A Trader s View

1 Jan 2018 Property & Casualty Treaty Renewals. and guidance update 2017 and 2018

Into the eye of the future. Michel M. Liès, Group CEO Swiss Re PwC Breakfast Briefing Monte Carlo, 10 September 2012

Lloyd s NED Reserving Forum 2017

Hannover Re - growth opportunities despite the crisis? Ulrich Wallin Chief Executive Officer

Risks. Insurance. Credit Inflation Liquidity Operational Strategic. Market. Risk Controlling Achieving Mastery over Unwanted Surprises

Conference Call on Interim Report 3/2017

Reinsuring for Catastrophes through Industry Loss Warranties A Practical Approach

Economic Value Management 2016 Annual Report. For a resilient future

CNSF XXIV International Seminar on Insurance and Surety

CATASTROPHE MODELLING

Analysts conference call 14 February 2006

Results for the six months ended 30 June 2017

PERILS experience in Australia

bma captive report 2018

1ST VIEW. 1 April 2014

Global Report: Global Survey of Retirement Plan Accounting Assumptions

First ever quarter with over 200m Gross Profit

Natural Perils and Insurance

Hannover Re's Analysts' Conference

Transcription:

PROPERTY CATASTROPHE REINSURANCE, DIVERSIFYING GUERNSEY'S (RE)INSURANCE INDUSTRY.

AGENDA 1. EVOLUTION AND LOCAL BENEFIT 2. ANOTHER GUERNSEY INNOVATION 3. LOSSES, AN HISTORICAL PERSPECTIVE 4. REINSURANCE (ILS) AN ATTRACTIVE INVESTMENT 5. SOLVENCY II 6. QUESTIONS 2

EVOLUTION AND LOCAL BENEFIT

EVOLUTION OF REINSURANCE INDUSTRY 1982 ICCI started underwriting a niche facultative captive protection reinsurance account 2005 paper and industry working group Guernsey Reinsurance Market Project (GRMP) Differentiation to other captive jurisdictions Provision of inner protection reinsurance to Guernsey captives Competitive cost base vis a vis Bermuda 2006 Securis / White Rock structure collateralised reinsurance (post Katrina) 2009 Solidum ICC 2012 Robus enter ILS management 2014 Kelvin Re commences underwriting 2015 Humboldt Re commences underwriting 2016 Artex acquire Hexagon (from Robus) 4

P&C REINSURANCE: DIVERSIFYING THE LOCAL ECONOMY Breakdown of Employment in Guernsey 31,383 7,481 6,731 750 Total Employed Finance Insurance 2 Rated Re companies have created 24 jobs in 24 months. 5

ESSENTIAL INCOME GROWTH Consensus led by GIIA that Guernsey must diversify from pure captive management to maintain growth, therefore focused on: Longevity ILS Reinsurance YEAR PREMIUMS ( BN) Original Inflation Adjusted 2014 4.94 4.94 2013 4.83 4.95 2012 4.63 4.89 International insurers - last 12 month's movement Type 31 Dec 2014 Net Change 31 Dec 2015 Companies 242 0 242 PCCs 67-3 64 PCC Cells 436 8 444 ICCs 12 1 13 ICC Cells 40 1 41 Totals 797 7 804 2011 4.62 5.03 2010 4.05 4.65 2009 3.94 4.74 2008 3.91 4.79 2007 3.48 4.45 2006 3.88 5.12 2005 3.36 4.56 2004 3.27 4.54 6

ANOTHER GUERNSEY INNOVATION

Claim payments INNOVATION LEAD GROWTH ILS Funds had traditionally used collateralised cells / traditional fronting insurers to facilitate investments Trustee (or LoC) Collateral SPV/PC Share premium ILS Fund Collateral Release U/w profits Premium Kelvin Re Kelvin Re (and Humboldt Re) revolutionised the transformation process, by eliminating cells and RTAs and making reinstatements etc. feasible in an ILS structure. 8

EXISTING EXPERTISE Guernsey has experienced (re)insurance professionals, but running a reinsurer has additional challenges: Exposure monitoring / modelling Buying robust retrocession programme Quantity/variety of policies Makes it a challenging structure to manage Other, 5,140,463 Agriculture/Crop/ Weather, 9,374,427 Aviation/Space, 4,406,562 Marine/Energy, 15,728,111 Reinsurance, 33,752,791 Retro, 17,823,815 ILW, 25,390,050 Proportional, 61,171,704 Property, 103,488,795 9

CONTRACT TYPES Retrocession $10m xs $100 Kelvin Re Excess of Loss Contract 10% Quota Share Reinsurance Korean Re Excess of Loss Contract China Re Excess of Loss Contract RSA Household Policies AVIVA Household Policies 10

LOSSES, AN HISTORICAL PERSPECTIVE

GLOBAL INSURED LOSSES 2005, Wilma Rita and Katrina 2011, Thai Floods, New Zealand EQ and Tohuku 2015 was a benign year below the 10 year average of $50Bn Inflation Adjusted Losses Source: Aon Benfield Analytics 12

2015 10 LARGEST CAT LOSSES A B C D E $7.5bn** 26% 18% $1.032bn $1.009bn* $2.5-3.5bn F US Various UK Germany Tianjin 33% $1.15bn Japan, Philippines, North Korea Africa A: 12/09/15 Napa Valley, $921m. B: 21/06/16 Northeast, $914m. South America C:18/04/15 South central USA. $939m. D: 07/04/15 Midwest, $1.204bn. E:23/05/15 Tx & OK, $1.461bn. F: 16/02/15 Midwest, $2.081bn. Industry losses Australasia 13

CURRENT OUTLOOK N Atlantic Hurricane Season is 1 June 30 November (but really gets going in September) Transitionary years from El Nino to La Nina have historically been active Source: Weather Underground 14

REINSURANCE (ILS) AN ATTRACTIVE INVESTMENT

GLOBAL REINSURANCE MARKET Source: Aon Benfield Analytics 16

ABUNDANT CAPITAL DRIVING RATES Sources: Guy Carpenter 17

SOLVENCY II

EQUIVALENCE Full equivalence Bermuda excluding captives and SPIs Switzerland Temporary Equivalence (5 years) Australia, Brazil, Canada, Mexico, USA, Japan Provisional equivalence (10 years) Japan

MARKET VIEW ON SOLVENCY II We could have probably bailed out Cyprus with the amount of money we've all spent It cost Lloyd's about 300m to prepare for Solvency II [new capital rules for insurers], which were then postponed. It is frustrating. Richard Ward, Chief Executive Lloyd's of London, 27 March 2013 to translate the bible, so unless you knew Latin you couldn t read it. Unless you are an actuary or statistician you cannot penetrate some of the intricacies of Solvency II. Steve Butterworth, Captive Live 2014 Writing to Andrew Tyrie, chairman of the Treasury Select Committee, Mr Bailey hit out at the staggering cost to insurers of implementing Solvency II Regulators estimate that Solvency II could cost insurers about 400m to implement and a further 200m in annual running costs, though Mr Bailey said this was only an approximate benchmark. The Telegraph, 30 April 2013 Solvency II is like the old days of religion. There was a refusal

SOLVENCY 2 GUERNSEY STATUS Reinsurance is only admissible when reinsurer meets one of the following: 1. Situated within the EU and complies with its SCR 2. Be situated in country with Solvency II equivalence and complies with its capital requirement 3. Not situated within the EU or a country with equivalence, but rated credit quality step 3 ( BBB ) or above The rating hurdle is applied equally to parental guarantees, collateral quality etc. subject to assessment

FUTURE OPPORTUNITIES Insurance Business (Special Purpose Insurer) Rules [2016] GIIA Focused on ILS, Reinsurance and Longevity Guernsey Finance events, Zurich, London and Monte Carlo 42 ILS Managers globally, approximately 6 working with Guernsey insurance managers Traditional / total return reinsurers 22

IMPORTANT INFORMATION Important Information Regarding Hypothetical, Back-Tested or Simulated Performance The hypothetical back-tested performance shown is for illustrative purposes and does not represent actual performance of any client account. No representation is made that the hypothetical returns would be similar to actual performance had the firm actually managed accounts in this manner. Hypothetical, back tested or simulated performances have many inherent limitations only some of which are described as follows: (i) It is designed with the benefit of hindsight, based on historical data, and does not reflect the impact that certain economic and market factors might have had on the decision-making process. No hypothetical, back-tested or simulated performance can completely account for the impact of financial risk in actual performance. Therefore, it will invariably show positive rates of return. (ii) It does not reflect actual client asset trading and cannot accurately account for the ability to withstand losses. (iii) The information is based, in part, on hypothetical assumptions made for modeling purposes that may not be realized in the actual management of accounts. No representation or warranty is made as to the reasonableness of the assumptions made or that all assumptions used in achieving the returns have been stated or fully considered. Assumption changes may have a material impact on the model return presented. This material is not representative of any particular client s experience. Investors should not assume that they will have an investment experience similar to the hypothetical, back-tested or simulated performance shown. There are frequently material differences between hypothetical, back- tested or simulated performance results and actual results subsequently achieved by any investment strategy. Unlike an actual performance record based on trading actual client portfolios, hypothetical, back-tested or simulated results are achieved by means of the retroactive application of a back-tested model itself designed with the benefit of hindsight. Hypothetical, back-tested or simulated performance may not reflect the impact that material economic or market factors might have on an adviser s decision making process if the adviser were actually managing a client s portfolio. The back-testing of performance differs from actual account performance because the investment strategy may be adjusted at any time, for any reason and can continue to be changed until desired or better performance results are achieved. The back-tested performance includes hypothetical results that do not reflect the deduction of advisory fees, brokerage or other commissions, and any other expenses that a client would have paid or actually paid. No representation is made that any account will or is likely to achieve profits or losses similar to those shown. Alternative modeling techniques or assumptions might produce significantly different results and prove to be more appropriate. Past hypothetical, back-test or simulated results are neither indicators nor guarantees for future returns. In fact, there are frequently sharp differences between hypothetical, back-tested and simulated performance results and the actual results subsequently achieved. As an investor, you accept and agree to use such information only for the purpose of discussing your preliminary interest in investing in the strategy described herein. This document may contain forward-looking statements based on experience and expectations about certain types of investments (including observations about markets and industry and regulatory trends as of the original date of this document), which can be identified by the use of forward-looking terminology such as may, will, should, expect, anticipate, target, project, estimate, intend, continue or believe, or the negatives thereof or other variations thereon or comparable terminology. Due to various risks and uncertainties beyond our control, actual events, results or performance may differ materially from those reflected or contemplated in such forward-looking statements. Readers are cautioned not to place undue reliance on such statements. Neither Kelvin Re nor any of its affiliates or entities mentioned in this document has any obligation to revise or update this document or any forward-looking statements set forth in this document. 146

IMPORTANT INFORMATION Important Information The details, data and analysis provided by Kelvin Re herein or in connection herewith are provided as is, without warranty of any kind whether express or implied. Neither Kelvin Re, its affiliates nor their officers, directors, agents, modellers, or subcontractors (collectively, Providers ) guarantee or warrant the correctness, completeness, currentness, merchantability, or fitness for a particular purpose of such details, data and analysis. In no event will any Provider be liable for loss of profits or any other indirect, special, incidental and/or consequential damage of any kind howsoever incurred or designated, arising from any use of the details, data and analysis provided herein or in connection herewith. The technology and data used in providing certain information is based on the scientific data, mathematical and empirical models, and encoded experience of earthquake engineers, wind engineers, structural engineers, geologists, seismologists, meteorologists, and geotechnical specialists. As with any model of complex physical systems, particularly those with low frequencies of occurrence and potentially high severity outcomes, the actual losses from catastrophic events may differ from the results of simulation analyses. Furthermore, the accuracy of predictions depends largely on the accuracy and quality of the data input by the user. Developing models to estimate losses resulting from catastrophes or other large-scale events is an inherently subjective and imprecise process, involving judgment about a variety of environmental, demographic and regulatory factors. The use of alternative assumptions and methodologies could yield materially different results. Also, the output of the models depends on data and inputs supplied by others, and any gaps, inaccuracies, or changes to the inputs can substantially affect the output. As a result, any model output in this report consists of estimates of the magnitude of losses that may occur; they are not factual and do not predict future events. Actual loss experience can differ materially. There can be no guarantee about the reliability, accuracy, or completeness of the loss estimates, the Exceedance Probabilities, or any other output. 148