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GEORGIA IASA ASSOCIATION EDUCATIONAL CONFERENCE A.M. Best’s Stochastic BCAR model Updated discussion of potential changes and timeline October 26, 2015 Raju Bohra, EVP Willis Re Analytics [email protected] om (212) 915-8444

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Page 1: GEORGIA IASA ASSOCIATION EDUCATIONAL CONFERENCE A.M. Best’s Stochastic BCAR model Updated discussion of potential changes and timeline October 26, 2015

GEORGIA IASA ASSOCIATIONEDUCATIONAL CONFERENCE

A.M. Best’s Stochastic BCAR model

Updated discussion of potential changes and timeline

October 26, 2015

Raju Bohra, EVPWillis Re [email protected](212) 915-8444

Page 2: GEORGIA IASA ASSOCIATION EDUCATIONAL CONFERENCE A.M. Best’s Stochastic BCAR model Updated discussion of potential changes and timeline October 26, 2015

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A.M. Best Rating: Rating Methodology

Balance Sheet

Operating Performance

Business Profile

· A.M. Best looks at three key areas in the rating analysis

· The level of importance of each the three areas to the overall rating can vary depending upon the rating level, and composite

· ERM is the link between these areas

Page 3: GEORGIA IASA ASSOCIATION EDUCATIONAL CONFERENCE A.M. Best’s Stochastic BCAR model Updated discussion of potential changes and timeline October 26, 2015

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A.M. Best Rating:Balance Sheet Evaluation

· Capitalization is the foundation for assessing the credit quality

· BCAR (factor based model) considers how well surplus is able to support premium, reserve, & credit risks– Pro: Considers multiple risks

– Con: Difficult to calculate

· Underwriting leverage metrics (e.g. NPW to surplus,

recoverables to surplus)

– Pro: Easy to calculate & understand

– Con: Does not differentiate between the riskiness of the business

Balance Sheet

• Capitalization (BCAR)• Underwriting

leverage• Reinsurance

utilization• Reserve adequacy• Investment

composition• Financial flexibility• Cash flow & liquidity

Page 4: GEORGIA IASA ASSOCIATION EDUCATIONAL CONFERENCE A.M. Best’s Stochastic BCAR model Updated discussion of potential changes and timeline October 26, 2015

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A.M. Best’s RatingsBest’s Capital Adequacy Ratio

· BCAR Calculation:

– Economic view of surplus (numerator)· Reported Surplus· Fixed income

equity· Equity in

unearned premium reserves

· DAC Adjustment

– Capital to support risks (denominator)· Investment risk:

Converting to cash· Credit risk:

Converting to cash· Premium risk:

Pricing errors· Reserve risk:

Reserving deficiencies

· Business risk

Page 5: GEORGIA IASA ASSOCIATION EDUCATIONAL CONFERENCE A.M. Best’s Stochastic BCAR model Updated discussion of potential changes and timeline October 26, 2015

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A.M. Best’s RatingsBCAR Score

Adjusted Statutory SurplusPolicyholders Surplus 36,651,796

Positive AdjustmentsStatutory UPR Equity (net of taxes) 636,454 Loss Reserve Equity (net of taxes) 2,957,484 Fixed Income Equity (net of taxes) 2,382,367

Subtotal 5,976,305

Negative AdjustmentsSurplus Note 268,872 Base Cat Load 448,985 Subtotal 717,857

Adjusted Statutory Surplus 41,910,245

Net Required CapitalAsset RiskB1 - Fixed Income Risk 1,641,809 B2 - Equity Risk 5,409,130 B3 - Interest Rate Risk 1,421,784 B4 - Credit Risk 1,591,365

Underwriting RiskB5 - Reserve Risk 16,844,371 B6 - Premium Risk 5,159,599

B7- Business Risk 18,238

Gross Required Capital 32,086,296 Covariance (12,770,344) Net Required Capital 19,315,952

Economic View of Surplus (aka Adjusted Surplus)

“How much capital you have”

Capital Needed for Risks (aka Required Capital)

“How much capital you need”

BCAR =

Required capital (denominator) is changing in new BCAR

Page 6: GEORGIA IASA ASSOCIATION EDUCATIONAL CONFERENCE A.M. Best’s Stochastic BCAR model Updated discussion of potential changes and timeline October 26, 2015

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A.M. Best’s Stochastic BCAR Goals & Objectives

· Incorporate stochastic (probabilistic simulation) modeling in BCAR– Capital factors more directly tied to probability of default

– More sophisticated approach than currently being used

· Select capital factors on a more consistent basis– Currently based on a variety of risk measures, return periods, and time

frames

·  Maintain the general structure used in the current BCAR model– Economic view of capital: mark-to-market, PV of reserves, & UPR equity

– Risk categories: B1- B7 & catastrophe charge

– Covariance: sum of the squares rule

· Not looking to disrupt the industry overall– However, individual rating units could show a significant change

– New scores will be lower than current but will adjust ratings scale

Page 7: GEORGIA IASA ASSOCIATION EDUCATIONAL CONFERENCE A.M. Best’s Stochastic BCAR model Updated discussion of potential changes and timeline October 26, 2015

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While A.M. Best has been clear that no final decisions have been made, companies potentially could see significant shifts in their BCAR score.  Draft criteria and parameters

are expected to be released early next year along with draft BCAR scores.

A.M. Best’s Stochastic BCAR Developing Capital Factors

· Current approaches underlying the capital factors

– Premium & reserves: 1% ‘expected policyholder deficit’ (EPD)

– Fixed income investments: probability of ruin

– Reinsurance recoverables: 5 year default rates

– Catastrophe: Wind 1-100 PML & Quake 1-250 PML (similar to VaR)

· New approach underlying Stochastic based capital factors

– Risk measure: Value-at-Risk, e.g. VaR (have moved away from TVaR)

– Return period: 5 confidence intervals: 1-50yrs, 1-100yrs, 1-200yrs, 1-500yrs, and 1-1000yrs

– Time frame: vary by risk category from 1 year to ultimate

· Confidence levels to vary by rating level

– Capital requirements for higher rating levels will be based on higher confidence levels

Page 8: GEORGIA IASA ASSOCIATION EDUCATIONAL CONFERENCE A.M. Best’s Stochastic BCAR model Updated discussion of potential changes and timeline October 26, 2015

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The breadth of proposed changes impacts almost every aspect of the BCAR model. Companies should evaluate their risk profiles to understand significant impacts.

A.M. Best’s Stochastic BCAR Preliminary Changes

· Fixed income investments

– Reflects more granular credit quality, duration, volatility of default, recovery rates, & present value of net defaults

· Common equity investments

– Reflects historic market volatility and company specific portfolio Beta· Interest rate risk

– Test 210 bps to 310 bps change adjusted for liquidity need

· Reinsurance recoverables

– Reflects credit quality, type of recoverable, concentration, duration, recovery rates, & net present value

· Premium & reserves

– Reflects 21 Schedule P lines, 4 size categories, 4 correlation matrices

– Higher charges for WC, GL, MPL, and lower for Auto

· Catastrophe charge

– Occurrence (OEP) all peril (Wind + EQ) VaR basis (similar to PML)

– Will continue stress test approach using second event (e.g. 1-100 for Wind)

– Move charge from adjusted policyholder surplus to net required capital

Page 9: GEORGIA IASA ASSOCIATION EDUCATIONAL CONFERENCE A.M. Best’s Stochastic BCAR model Updated discussion of potential changes and timeline October 26, 2015

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Impacts will ultimately depend on the selected risk metric, confidence level (return period), and time horizons A.M. Best promulgates in their final criteria.

A.M. Best’s Stochastic BCAR Potential Impacts

· Willis Re has studied the impacts of the risks that will potentially drive new BCAR required capital for companies

· Risk charges that could significantly increase include:

– Bond default risk for portfolios with longer durations or lower credit quality

– Stock market risk, especially for portfolios with Beta > 1

– Credit risk for long-tail recoverables (e.g., casualty lines) or with a concentration of counter-parties

– UW risks (premium and reserves) for smaller lines of business

– Catastrophe risk in specific perils and zones (e.g., Mid-Atlantic and Northeast windstorm, and Midwest EQ)

· Also companies whose risk profile exhibits greater tail risk at higher confidence levels may have difficulty at the higher end of the rating scale

Page 10: GEORGIA IASA ASSOCIATION EDUCATIONAL CONFERENCE A.M. Best’s Stochastic BCAR model Updated discussion of potential changes and timeline October 26, 2015

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Model Capital Factor Impact: Asset Risk Charges

· Bond charges relatively unchanged for Govt and Class 1 but increase for lower quality, however not a great impact due to varying confidence levels

– Table does not show impact of bond duration and granular credit classes

· Proposed stock charges significantly higher and vary by confidence level

– Table does not show impact of company specific portfolio “Beta”

A.M Best updated

Asset Risk charges for bonds and

stocks which are

still subject to change

before finalized

Asset Risk Factor For:Current

PC 1-50Yr

(VaR 98)1-100Yr

(VaR 99)1-200Yr

(VaR 99.5)1-500Yr

(VaR 99.8)1-1000Yr

(VaR 99.9)

US Gov't 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

NAIC Class 1 Bonds 1.0% 1.2% 1.5% 1.7% 2.0% 2.4%

NAIC Class 2 Bonds 2.0% 5.4% 6.2% 6.8% 7.5% 8.4%

NAIC Class 3 Bonds 4.0% 10.0% 11.0% 11.8% 12.8% 13.7%

NAIC Class 4 Bonds 4.5% 23.3% 24.7% 25.8% 27.0% 27.8%

NAIC Class 5 Bonds 10.0% 37.6% 38.3% 38.9% 39.5% 39.9%

NAIC Class 6 Bonds 30.0% 45.5% 46.6% 47.5% 48.3% 49.2%

Total Bonds 1.0% 1.8% 2.1% 2.3% 2.7% 3.1%

Public Common Stock 15.0% 33.9% 39.1% 43.8% 47.3% 48.3%

Average Risk Factors of Sample PC Companies

Source: A.M. Best, reflect average 4 year maturity

Page 11: GEORGIA IASA ASSOCIATION EDUCATIONAL CONFERENCE A.M. Best’s Stochastic BCAR model Updated discussion of potential changes and timeline October 26, 2015

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Region 100yr 500yr 1000yr

New Madrid 15% 319% 652%

EQ 250yr VaR Relativity

Region 200yr 500yr 1000yr

Northeast 182% 332% 476%MidAtlantic 190% 374% 562%Southeast 153% 241% 320%

HURR 100yr VaR Relativity

Model Capital Factor Impact: Natural Catastrophes

Source: CrisisHQ.com, RMS v13, and Willis Re

· We modeled the gross industry portfolio using the RMS model

· A.M. Best currently charges EQ at 250yr or Hurricane at 100yr

· EQ risk significantly declines below 250yr

· HURR risk increases above 100yr period

– Particularly Northeast

· Net PMLs may show “cliff” beyond level of reinsurance

– Particularly if only purchase limit to current BCAR requirements

Region 100yr 500yr 1000yr

Alaska 66% 121% 138%Northwest 30% 171% 264%California 66% 127% 158%

EQ 250yr VaR Relativity

Region 200yr 500yr 1000yr

Texas 151% 231% 306%Gulf 145% 217% 287%Florida 139% 208% 273%

HURR 100yr VaR Relativity

Region 200yr 500yr 1000yr

US Personal 124% 167% 211%US Comm'l 126% 171% 216%

SCS 100yr VaR Relativity

Page 12: GEORGIA IASA ASSOCIATION EDUCATIONAL CONFERENCE A.M. Best’s Stochastic BCAR model Updated discussion of potential changes and timeline October 26, 2015

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Model Capital Factor Impact: UW & Other charges (using eCCM)

· We studied the potential impact of Stochastic BCAR using Willis Re’s eCCM capital model

· Typically eCCM produces

– Higher capital for equity, interest rate, and catastrophe risk

– Lower capital for fixed income and credit (1yr horizon)

– UW risk for a line of business decreases as size of premium or reserves increases but are very company specific

· Utilizing eCCM, a company can evaluate the potential impacts even before final criteria are released

· eCCM allows companies to assess their “own view” of risk and compare to BCAR requirements

Exposure BCAR Economic Capital CoefficientsAmount Factors 1 in 100 1 in 250 1 in 1000

Asset RiskW1 - Fixed Income Credit Risk 435,007 1.1% 0.6% 0.9% 1.2%W2 - Equity Risk 40,586 20.3% 42.9% 50.9% 70.7%W3 - Interest Rate Risk 443,216 0.7% 2.6% 3.3% 4.5%W4 - Credit Risk Reinsurers 14,614 49.6% 1.6% 2.1% 2.9%

Underwriting RiskW5 - Reserve Risk 177,681 28.6% 17.0% 19.2% 24.3%W6 - Prospective Underwriting Risk 344,339 27.4% 18.6% 21.1% 24.7%W7 - Net Catastrophe Risk 55,180,612 0.0% 0.0% 0.0% 0.1%

Sample eCCM Results (000s)

Page 13: GEORGIA IASA ASSOCIATION EDUCATIONAL CONFERENCE A.M. Best’s Stochastic BCAR model Updated discussion of potential changes and timeline October 26, 2015

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The new BCAR scores cannot be interpreted in same manner as current scores. The spread of positive scores will be compressed. Relatively small increases under new scale will represent proportionately stronger capitalization viewed currently.

A.M. Best’s Stochastic BCAR New BCAR Formula

· Current BCAR formula (ratio to Required Capital)

– Available Capital reduced for net catastrophe PML

– Looking for a BCAR score above 100% (range from 0% to 999%)

· Planned new BCAR formula (ratio to Available Capital)

– Net catastrophe PML moved to be part of Required Capital

– Translate as “excess capital as percent of available capital”

– Looking for a BCAR score above 0% (range from -999% to 100%)

𝑪𝒖𝒓𝒓𝒆𝒏𝒕 𝑩𝑪𝑨𝑹=𝑨𝒗𝒂𝒊𝒍𝒂𝒃𝒍𝒆𝑪𝒂𝒑𝒊𝒕𝒂𝒍𝑹𝒆𝒒𝒖𝒊𝒓𝒆𝒅𝑪𝒂𝒑𝒊𝒕𝒂𝒍

𝑵𝒆𝒘 𝑩𝑪𝑨𝑹=(𝑨𝒗𝒂𝒊𝒍𝒂𝒃𝒍𝒆𝑪𝒂𝒑𝒊𝒕𝒂𝒍−𝑹𝒆𝒒𝒖𝒊𝒓𝒆𝒅𝑪𝒂𝒑𝒊𝒕𝒂𝒍 )

𝑨𝒗𝒂𝒊𝒍𝒂𝒃𝒍𝒆𝑪𝒂𝒑𝒊𝒕𝒂𝒍

Page 14: GEORGIA IASA ASSOCIATION EDUCATIONAL CONFERENCE A.M. Best’s Stochastic BCAR model Updated discussion of potential changes and timeline October 26, 2015

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A.M. Best is still actively evaluating how the new Stochastic BCAR will fit into their overall Rating Methodology and assignment of ratings. Need to remember that BCAR

scores are one component of ratings evaluation and assignment.

A.M. Best’s Stochastic BCAR Applying to Ratings

· Overall new scores will have higher required capital

– Change in placement of catastrophe risk

– Companies may not currently purchase catastrophe reinsurance to proposed standards

– Generally higher investment charges

· Rating levels will be calibrated to return periods

– Show 5 BCAR scores for various VaR levels

– The BCAR score for a given return period will reflect capital charges for all risks at that level · This will significantly increase required capital

when looking beyond the 1-100 level

– For higher ratings (A+/A++) A.M. Best has currently not defined capital thresholds as those ratings not solely based on capitalization

VaRReturn Period

Potential FSR*

99.9% 1-1000 A (A++)**

99.8% 1-500 A (A+)**

99.5% 1-200 A / A-

99.0% 1-100 B++ / B+

98.0% 1-50 < B+

* Assuming no other strengths or weaknesses related to Holding Company, Operating Performance, Business Profile, ERM or Country Risk issues these are the levels BCAR could support** Willis Re interpretation of scale at higher return periods for A+ and A++ rating

Source: A.M. Best, Insurance Insider, Willis Re

Page 15: GEORGIA IASA ASSOCIATION EDUCATIONAL CONFERENCE A.M. Best’s Stochastic BCAR model Updated discussion of potential changes and timeline October 26, 2015

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-50-40-30-20-10

0102030405060708090

100

1-50yr< B+

1-100yrB++ / B+

1-200yrA / A-

1-500yrA (A+)*

1-1000yrA (A++)*

VaR Confidence Levels

NE

W S

toc

has

tic

BC

AR

(%

)

Company A and Company B are rated “A+” with identical current BCAR scores.

However under the new Stochastic BCAR, Company B falls below ZERO after the1-200yr return period. This may “cap” Company B’s rating at the “A-/A” level

A.M. Best’s Stochastic BCAR Applying to Ratings (cont.)

· Potential guidance for calibrating BCAR to ratings

– Old benchmarks not relevant

– Examine new BCAR scores for the various return periods to understand a company’s “tail” risks and drivers

– BCAR score > 0% being considered as a standard· Where is Available Capital

less than Required Capital· May create a cap on

rating depending on other rating factors

Company B

Company A

BCAR 0%

*Willis Re interpretation of scale at higher return periods

Page 16: GEORGIA IASA ASSOCIATION EDUCATIONAL CONFERENCE A.M. Best’s Stochastic BCAR model Updated discussion of potential changes and timeline October 26, 2015

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A.M. Best’s Stochastic BCAR Next Steps

· Developing:– Building the various distributions: completed

– Running model simulations: completed – Reviewing the output & setting parameters: completed

· Risk measures: VaR· Confidence levels: 1-50, 1-100, 1-200, 1-500, & 1-1000

– Analyzing the potential for unintended consequences: on-going

– Discussions with subject matter experts: on-going

· Communicating:– Issue draft criteria for public comment: expected release Q1 2016

– Receive & review public comments: 60-90 day comment period

– Release final criteria: depending upon public comment & changes

· Implementing:– Phase 1 roll-out: earliest Q4 2016 based on YE 2015 financials

Page 17: GEORGIA IASA ASSOCIATION EDUCATIONAL CONFERENCE A.M. Best’s Stochastic BCAR model Updated discussion of potential changes and timeline October 26, 2015

Raj Bohra, EVP

[email protected]

212-915-8444

Douglass Ostermiller, SVP

[email protected]

212-915-8266

Ralph Cagnetta, EVP

[email protected]

212-915-8412

CONTACTINFORMATION

Page 18: GEORGIA IASA ASSOCIATION EDUCATIONAL CONFERENCE A.M. Best’s Stochastic BCAR model Updated discussion of potential changes and timeline October 26, 2015

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Willis Re disclaimers· This analysis has been prepared by Willis Limited and/or Willis Re Inc and/or the Willis entity with whom you are dealing (“Willis Re”) on condition that it shall be treated as strictly confidential and shall not be

communicated in whole, in part, or in summary to any third party without written consent from Willis Re.

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Page 19: GEORGIA IASA ASSOCIATION EDUCATIONAL CONFERENCE A.M. Best’s Stochastic BCAR model Updated discussion of potential changes and timeline October 26, 2015

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· For deliverables including AIR Worldwide Corporation (AIR) CLASIC/2 or CATRADER output: It is hereby understood and agreed that the client, in consideration of obtaining a right of access to certain CLASIC/2 or CATRADER Analyses pertaining to Client’s catastrophe loss potential under the CLASIC/2 or CATRADER License Agreement dated January 30, 2004 between AIR Worldwide Corporation ("AIR") and Willis Re Inc., and the CATRADER License Agreement dated 14 March 2008 between AIR Worldwide Corporation ("AIR") and Willis Limited, shall be legally bound hereby as follows: (1) The Client agrees, for the benefit of AIR, to be bound by the following provisions: (a) The CLASIC/2 or CATRADER Analysis will be disclosed by Willis Re Inc. to the Client in confidence, and the Client shall not cause or permit disclosure, copying, display, loan, publication, transfer of possession (whether by sale, exchange, gift, operation of law or otherwise) or other dissemination of the CLASIC/2 or CATRADER Analysis (or details of the methodology and analysis employed to develop the CLASIC/2 or CATRADER Analysis) in whole or in part, to any third party without the prior written consent of AIR. (b) Notwithstanding the foregoing, AIR hereby agrees that disclosure of the CLASIC/2 or CATRADER Analysis to insurance regulators and disclosure, in confidence, of the CLASIC/2 or CATRADER Analysis by the Client to reinsurers and auditors is exempt from the prohibitions of 1(a) above; provided that, in the event of any such disclosure, the Client shall clearly acknowledge in writing that AIR owns the exclusive right and title to the CLASIC/2 or CATRADER Analysis and the methods employed to develop the Analysis. (c) The Client shall not alter or remove any copyrights, trade secret, patent, proprietary and/or other legal notices contained on or in copies of the CLASIC/2 or CATRADER Analysis. The existence of any such copyright notice on the CLASIC/2 or CATRADER Analysis shall not be construed as an admission, or be deemed to create a presumption, that publication of such materials has occurred. (d) The Client shall not by virtue of this Agreement, have any right of access to AIR's software, databases, technical or proprietary information or other property, except to the extent otherwise specifically provided herein. (e) The Client understands and hereby acknowledges, that (i) the information contained in the CLASIC/2 or CATRADER Analysis consists of estimates and that the CLASIC/2 or CATRADER Analysis is intended to serve only as one of several sources of information for estimating potential losses from certain catastrophes and (ii) no responsibility is or shall be assumed or implied by AIR for loss or damage to the Client or others for any adverse results experienced in utilizing the CLASIC/2 or CATRADER Analysis. (2) The Client agrees, for the benefit of AIR and Willis Re Inc., that no responsibility is or shall be assumed or implied by AIR or Willis Re Inc. for loss or damage to the Client resulting from inaccuracies contained therein nor shall AIR or Willis Re Inc. be liable to the Client or others for any adverse results experienced in utilizing the CLASIC/2 or CATRADER Analysis.

· For deliverables including AIR Worldwide Corporation (AIR) Touchstone output: IMPORTANT NOTICE and DISCLAIMER. The attached Touchstone reports are provided to you in confidence, and you may not cause or permit disclosure, copying, display, loan, publication, transfer of possession (whether by sale, exchange, gift, operation of law or otherwise) or other dissemination of the Touchstone reports (or details of the methodology and analysis employed to develop the Touchstone reports) in whole or in part, to any third party without the prior written consent of Willis Re Inc. or Willis Limited and AIR Worldwide Corporation (“AIR”). Notwithstanding the foregoing, you may disclose the Touchstone reports associated with your reinsurance or risk transfer programs to insurance regulators and disclose, in confidence, to your rating agencies, reinsurers, actuarial consultants, managing general agencies, risk managers, investment bankers (but not in connection with the placement of any insurance-linked securities) and auditors (but in no event to any entity in the business of developing loss estimation models), provided that, in the event of any such disclosure, you clearly acknowledge in writing that AIR owns the exclusive right and title to the Touchstone reports and the methods employed to develop them. You may not alter or remove any copyrights, trade secret, patent, proprietary and/or other legal notices contained on or in copies of the Touchstone reports. The existence of any such copyright notice on the Touchstone reports shall not be construed as an admission, or be deemed to create a presumption, that publication of such materials has occurred. The Touchstone reports are intended to function as one of several tools which you will use in analyzing your estimated and potential losses from certain natural hazards. The estimation of hazards and potential losses involves uncertainties and depends on environmental, demographic and regulatory factors beyond the control of Willis Re Inc., Willis Limited and AIR. The Touchstone reports depend on data and inputs which you have supplied. The assumptions and methodologies used by AIR in creating Touchstone may not constitute the exclusive set of reasonable assumptions and methodologies, and the use of alternative assumptions and methodologies could yield materially different results. The loss probabilities indicated by the Touchstone reports are estimates of the magnitude of losses that may occur in the event of such natural hazards; they are not factual and do not predict future events. Actual loss experience can differ materially. No responsibility is or shall be assumed or implied by Willis Re Inc., Willis Limited or AIR for loss or damage to you resulting from inaccuracies contained therein nor shall Willis Re Inc., Willis Limited or AIR be liable to you or others for any adverse results experienced in utilizing the Touchstone reports.

· For deliverables containing EQE output: This report contains EQECAT Confidential Information and i) recipient agrees to treat this report as strictly confidential; and ii) in consideration of having been provided access to this report, recipient agrees that EQECAT has no liability for such report or other information derived from the report or any use that may be made thereof by recipient.

· For deliverables including JBA output: © JBA Risk Management Limited 2014. Willis Re accepts no responsibility or liability for any use that is made of this document or the results and information it includes other than by the intended recipient for the purposes for which it was originally commissioned and prepared. Readers are cautioned against placing undue reliance upon any statements contained herein. Copyright and all other intellectual property rights in the document, its contents and the underlying data belong to and shall remain the property of Willis Re and/or JBA Risk Management Limited. The recipient shall not (save only as may be permitted by law and not otherwise) copy, reproduce, record, adapt, modify, reformat, reverse compile any content in whole or in part, or do any other such act which might affect the rights or interests of Willis Re and JBA Risk Management Limited. The dissemination, reproduction or use of this document without Willis Re's express written permission is prohibited. Recipient acknowledges that the contents of this document deal with the probabilities of natural hazards which are highly uncertain and accordingly that Willis Re and JBA Risk Management Limited cannot and do not represent, warrant or guarantee the accuracy of the output, its indications, estimates or outputs. Recipient further accepts that the output is developed using information compiled and provided by third parties and includes information based on third party information which is not guaranteed, and that accordingly Willis Re and JBA Risk Management Limited are unable to provide and gives no warranty, guarantee or other assurance that the contents of this document are accurate, complete, up-to-date or will meet the present or future requirements of the recipient , or any third party to which the output or such material is supplied. Recipient is cautioned against placing undue reliance upon any statements contained in the output from this project. This report does not constitute advice in relation to the underwriting and placement of insurance and reinsurance risk of any kind whatsoever.

· For deliverables including S&P ratings: Copyright 2014, Standard & Poor’s Financial Services LLC. Reproduction of S&P Credit Ratings in any form is prohibited except with the prior written permission of Standard & Poor’s Financial Services LLC (together with its affiliates, S&P). S&P does not guarantee the accuracy, completeness, timeliness or availability of any information, including ratings, and is not responsible for any errors or omissions (negligent or otherwise), regardless of the cause, or for the results obtained from the use of ratings. S&P GIVES NO EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE. S&P shall not be liable for any direct, indirect, incidental, exemplary, compensatory, punitive, special or consequential damages, costs, expenses, legal fees, or losses (including lost income or profits and opportunity costs or losses caused by negligence) in connection with any use of Ratings. S&P’s ratings are statements of opinions and are not statements of fact or recommendations to purchase, hold or sell securities. They do not address the market value of securities or the suitability of securities for investment purposes, and should not be relied on as investment advice.

· For deliverables including MarketStance material: This report contains material from Intellistance LLC, DBA MarketStance© and Intellistance LLC retains copyright to such material.