Incorporating Risk Premia Mandates in a Strategic Allocation

Similar documents
MSCI Risk Weighted Indices Methodology

MSCI Short and Leveraged Daily Indices Methodology

MSCI Economic Exposure Indices

MSCI High Dividend Yield Indices Methodology

MSCI EM 50 Index Methodology

MSCI Short and Leveraged Daily Indexes Methodology

MSCI Asia APEX Indexes Methodology

Sector Models: An Insightful View of Risk and Return

MSCI Value Weighted Indices Methodology

Factor Investing & Smart Beta

Michael (Xiaochen) Sun, PHD. November msci.com

MSCI Global ESG Indexes Methodology

MSCI USA Broad ESG Index

Market Insight When Hurricane Sandy Closed Wall Street

Manager Risk Contribution: Attributing Risk in a Multi-Manager Portfolio

MSCI Economic Exposure Indexes Methodology

MSCI Diversified Multi-Factor Indexes Methodology

MSCI Global Socially Responsible Indexes

A Renewed Focus on Risk Management at US Public Pensions

MSCI Commodity Producers Indexes Methodology

Volatility Regimes in the US

MSCI CUSTOM RISK WEIGHTED INDEXES

Multiple Industry Allocations in the Barra US Equity Model (USE3)

MSCI REIT Preferred Index (MSRP) Methodology

Should I Like Facebook s IPO?

MSCI VALUE WEIGHTED INDEXES METHODOLOGY

MSCI Prime Value Indexes Methodology

What Do We Know About Rapid Increases in Risk?

OTC Derivatives under Central Clearing: Risk Measures for Liquidity Constraints

MSCI EQUITY INDEX POLICY REGARDING UNITED STATES IRS 871(M) REGULATIONS RELATING TO THE DEFINITION OF A QUALIFIED INDEX

MSCI SIZE TILT INDEXES METHODOLOGY

MSCI VOLATILITY TILT INDEXES METHODOLOGY

MSCI USA ESG SELECT INDEX METHODOLOGY

MSCI Global Environment Indices Methodology

LONG SHORT STRATEGY INDEX ON MSCI JAPAN IMI CUSTOM (GROSS) 85% + CASH (JPY) 15% INDEX* METHODOLOGY

MSCI RUSSIA CAPPED INDEX

MSCI CANADA HIGH DIVIDEND YIELD 10% SECURITY CAPPED INDEX METHODOLOGY

MSCI JAPAN IMI CUSTOM LIQUIDITY AND YIELD LOW VOLATILITY INDEX METHODOLOGY

MSCI CANADA CUSTOM CAPPED INDEX METHODOLOGY

MSCI AUSTRALIA SELECT HIGH DIVIDEND YIELD INDEX

MSCI CUSTOM RISK WEIGHTED INDEXES

MSCI CUSTOM RISK WEIGHTED INDEXES

MSCI EMERGING MARKETS HORIZON INDEX METHODOLOGY

MSCI EUROPE ENERGY 35/20 CAPPED INDEX METHODOLOGY

MSCI ALL PORTUGAL PLUS 25/50 INDEX

MSCI DIVERSIFIED MULTIPLE-FACTOR INDEXES METHODOLOGY

MSCI ALL PAKISTAN SELECT 25/50 INDEX METHODOLOGY

MSCI CANADA HIGH DIVIDEND YIELD 10% SECURITY CAPPED INDEX METHODOLOGY

MSCI DIVERSIFIED MULTIPLE-FACTOR INDEXES METHODOLOGY

Emerging Opportunities?

Index Review User Guide

CUSTOM INDEX ON MSCI EM (EMERGING MARKETS) LOW CARBON LEADERS EX REITS 10/50 *

MSCI EUROPE ESG LEADERS SELECT TOP 50 DIVIDEND INDEX METHODOLOGY

MSCI RUSSIA LOCAL LIQUIDITY SCREENED CAPPED INDEX

IPD AUSTRALIA HEALTHCARE INDEX

MSCI FACTOR MIX A- SERIES INDEXES METHODOLOGY

MSCI USA Catholic Values Index

METHODOLOGY BOOK FOR: - MSCI USA SELECT QUALITY YIELD INDEX - MSCI EMERGING MARKETS SELECT QUALITY YIELD INDEX - MSCI UNITED KINGDOM

MSCI Overseas China Index: Early Inclusion Proposal

MSCI ACWI IMI TIMBER SELECT CAPPED INDEX METHODOLOGY

MSCI MALAYSIA IMI ISLAMIC HIGH DIVIDEND YIELD 10/40

Forecast Risk Bias in Optimized Portfolios

TEMPORARY TREATMENT OF UNEQUAL VOTING STRUCTURES IN THE MSCI EQUITY INDEXES

INDEX METHODOLOGY MSCI WORLD ESG YIELD SELECT VARIANCE INDEX METHODOLOGY

An Analysis of Risk and Return in Fossil Fuel Free Investing

Minimum Volatility Strategies at Times of High Volatility September 24, 2008

MSCI LATIN AMERICA PACIFIC ALLIANCE INDEX

MSCI DIVERSIFIED MULTI-FACTOR INDEXES METHODOLOGY

INDEX METHODOLOGY MSCI RETURN SPREAD INDEXES METHODOLOGY

MSCI CARBON FOOTPRINT INDEX RATIOS METHODOLOGY

CONTENTS. 1 Introduction Constructing the MSCI ESG Leaders Low Carbon ex Tobacco Involvement 5% Indexes... 4

MSCI 25/50 INDEXES METHODOLOGY

MSCI MARKET NEUTRAL BARRA FACTOR INDEXES METHODOLOGY

MSCI TOP 50 DIVIDEND INDEXES METHODOLOGY

OFI REVENUE WEIGHTED GLOBAL ESG INDEX METHODOLOGY. May 2018

MSCI EMERGING + FRONTIER MARKETS WORKFORCE INDEX METHODOLOGY

MSCI Overseas China Indexes Methodology

MSCI CYCLICAL AND DEFENSIVE SECTORS INDEXES METHODOLOGY

MSCI MINIMUM VOLATILITY INDEXES METHODOLOGY

MSCI GLOBAL EX FOSSIL FUEL INDEXES METHODOLOGY

GENERAL GENERAL Q&A. Potential impact on the MSCI Equity Indexes of the United Kingdom s exit from the European Union ( Brexit ) January 23, 2019

METHODOLOGY BOOK FOR: - MSCI EMERGING MARKETS IMI (JST FIXING) INDEX - MSCI KOKUSAI (JST FIXING) INDEX

BETA ADVANTAGE SUSTAINABLE GLOBAL EQUITY INCOME 200 INDEX

MSCI ASIA APEX INDEXES METHODOLOGY

METHODOLOGY BOOK FOR: - OFI REVENUE WEIGHTED GLOBAL INDEX - OFI REVENUE WEIGHTED INTERNATIONAL INDEX - OFI REVENUE WEIGHTED EMERGING MARKETS INDEX

MSCI GLOBAL EX CONTROVERSIAL WEAPONS INDEXES METHODOLOGY

Are Small Caps Truly Domestic?

MSCI RISK CONTROL INDEXES METHODOLOGY

METHODOLOGY BOOK FOR: - MSCI WORLD SELECT SRI INDEX - MSCI EUROPE SELECT SRI INDEX

MSCI FRONTIER EMERGING MARKETS INDEX METHODOLOGY

MSCI ALL COLOMBIA LOCAL LISTED RISK WEIGHTED INDEX METHODOLOGY

Proposal to Introduce Frequency of. Frontier Markets IMI MSCI Inc. All rights reserved. msci.com

MSCI CHINA A CUSTOM QUALITY VALUE 100 INDEX METHODOLOGY

Integrating ESG in the Investment Process. Remy Briand, Managing Director & Global Head of Index and ESG Research

MSCI ALL COLOMBIA LOCAL LISTED RISK WEIGHTED INDEX METHODOLOGY

MSCI AGRICULTURE & FOOD CHAIN INDEXES METHODOLOGY

HARNESSING THE POWER OF FACTOR MODELS

MSCI CHINA A 50 INDEX METHODOLOGY

MSCI MARKET NEUTRAL BARRA FACTOR INDEXES METHODOLOGY

INDEX METHODOLOGY MSCI HONG KONG+ September 2017

Transcription:

Incorporating Risk Premia Mandates in a Strategic Allocation A Client Case Study: Wyoming Retirement System Raman Aylur Subramanian

The Challenge Wyoming Retirement System (WRS), a public pension plan sponsor with a 50% target policy allocation to global equities, wished to explore options for diversifying its global equity portfolio. The investment staff had three main objectives: to lower volatility, improve risk-adjusted returns and decrease fees. To achieve these goals, WRS examined extensive academic and industry research and ultimately decided to include risk premia mandates in its strategic allocation. The WRS Approach The policy benchmark for the WRS equity allocation is MSCI ACWI, a broad global benchmark that includes the large and mid capitalization segments of the global equity universe. Panel A of Exhibit 1, illustrates the WRS policy benchmark in comparison to the pension plan s final strategic allocation with about 70% of the total equity allocation assigned to passive managers, and the other 30% mandated to active managers. The WRS investment staff decided to allocate 70% of the total passive allocation to a portfolio that tracked MSCI ACWI IMI, a broad global benchmark that encompasses the large, mid and small capitalization segments of the global equity universe. This allocation provided a strategic overweight of approximately 10% to global small caps (size risk premium) in addition to capturing the core global equity risk premium. They also elected to make two strategic allocations each of 15% to portfolios that passively tracked the MSCI ACWI Value Weighted and MSCI ACWI Risk Weighted Indices. The two portfolios aimed to capture the value and low volatility risk premia, respectively. By design, these two portfolios were tilted towards lower capitalization stocks, which led to approximately equal allocations to the size, value and low volatility risk premia in the overall strategic equity allocation. Panel B of Exhibit 1, presents the risk and return characteristics of the plan s strategic allocation to passive managers versus its policy benchmark which is assumed to be 100% invested in MSCI ACWI. All return estimates in Exhibit 1 ignore both transaction costs and management fees. It can be seen that a strategic allocation to risk premia along with a core allocation to the market portfolio provided better risk adjusted performance over the policy benchmark during the analysis period. Please refer to the disclaimer at the end of this document 2 of 8

Exhibit 1: Strategic Allocation to Risk Premia Policy Benchmark Portfolio For Equities (MSCI ACWI Index) Strategic Allocation to Risk Premia (market+size+value+volatility) Panel A: Portfolio Allocations Market Beta 100% 70% MSCI ACWI IMI Index Size Value 15% MSCI ACWI Value Weighted Index Low Volatility 15% MSCI ACWI Risk Weighted Index Panel B: Annualized Risk and Return Characteristics (November 1995 to March 2012) Return (%) 6.2 6.9 Risk (%) 16.6 16.5 Return/Risk 0.37 0.42 Tracking Error (%) 0.00 1.82 Beta 1.00 0.98 Source: MSCI. Portfolio weights are rebalanced quarterly to the target weights. Before coming to the above mentioned final passive equity allocation, the WRS investment staff conducted what it described as an extremely thorough due diligence. In the following section we review the decision points (or due diligence questions) that the WRS investment staff reports that it considered over the course of their risk premia allocation process. These measures supplemented the existing policies and procedures regarding equity allocation as approved under WRS investment policy. Certain Due Diligence Considerations for Risk Premia Allocations Cyclicality of Risk Premia into the Future Numerous studies have demonstrated the existence of risk premia in the past. However, the active returns of risk premia strategies are cyclical. As more (fewer) investors are willing to bear a particular kind of risk, the ex ante compensation for that risk decreases (increases). The first decision point for the pension plan concerned the future behaviors of risk premia. To what extent did WRS investment staff think that the past risk-adjusted outperformance of risk premia could be expected to persist in the future? The interplay of investor flows and factor premia is complex, particularly when examined over varying time periods. It is expected that relative risk premia returns will wax and wane in the future, as in the past. (Exhibit 2, for example, displays the cyclicality found in historical risk premia returns from May 1994 February 2012.) The magnitude and duration of these cyclical patterns largely depends upon the sources of each risk premium. For example, the value premium can be explained by both a rational phenomenon, priced in equilibrium as compensation for systematic risk, or by the irrational or behavioral view that reflects the tendency of certain investors to overreact to good and bad news. Please refer to the disclaimer at the end of this document 3 of 8

Exhibit 2: Risk Premia Performance over Time 200 150 100 50 0 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 Small minus Large Value minus Growth Low Vol minus High Vol Source: MSCI. Note: Small minus Large represents the performance difference of the MSCI World Small Cap Index relative to the MSCI World Large Cap Index. Value minus Growth represents the performance difference of the MSCI World Value Index relative to the MSCI World Growth Index. Low Vol minus High Vol represents the performance difference of simulated volatility equity index consists of the bottom onethird (Low Vol) and top one-third (High Vol) of the MSCI World Index market capitalization ranked by security variance. The security variance is calculated using weekly returns over 52 weeks prior to the semi-annual rebalancing date. The WRS investment staff concluded that by diversifying across multiple uncorrelated risk premia the pension could improve the risk-adjusted returns of its equity allocation. For example, by allocating to lower volatility risk premia and assuming a similar expected return as the market portfolio, the pension decided it could improve the overall risk adjusted return of its equity allocation. Exhibit 3 displays the correlations between different risk premia and the global market beta as represented by the MSCI World Index. Most of the correlations among the risk premia shown in Exhibit 3, are low or negative and confirm that these individual risk premia did capture unique return characteristics and offered diversification over a nearly 18-year period. Exhibit 3: Correlations among Risk Premia (Correlations over May 1994 February 2012) MSCI World Index Small minus Large Value minus Growth Low Vol minus High Vol MSCI World Index 1.00 Small minus Large 0.04 1.00 Value minus Growth -0.23-0.02 1.00 Low Vol minus High Vol -0.73-0.21 0.53 1.00 Source: MSCI. Note: Small minus Large represents the performance difference of the MSCI World Small Cap Index relative to the MSCI World Large Cap Index. Value minus Growth represents the performance difference of the MSCI World Value Index relative to the MSCI World Growth Index. Low Vol minus High Vol represents the performance difference of simulated volatility equity index consists of the bottom onethird (Low Vol) and top one-third (High Vol) of the MSCI World Index market capitalization ranked by security variance. The security variance is calculated using weekly returns over 52 weeks prior to the semi-annual rebalancing date. Please refer to the disclaimer at the end of this document 4 of 8

Strategic versus Tactical A second decision point for the pension plan was to determine whether an allocation to risk premia should form a part of its strategic equity mix or whether it should be a purely tactical one. Often pension plans seek to obtain risk premia tilts in their strategic allocations by assigning mandates to managers who implicitly or explicitly aim to capitalize on these premia and add alpha. Several studies have shown that for a majority of managers, their performance results are attributable to having captured a risk premium with no persistent alpha over and above the premium itself (Gr in b lat t et al., 1995, Carhart, 1997). This raises the question as to whether investors should strategically allocate to risk premia rather than obtaining these exposures through a manager selection process. One key benefit to making strategic allocations to risk premia is that the plan can better control portfolio risk. Each risk premia allocation has a distinct risk return profile relative to the policy benchmark, which is typically a market capitalization weighted global index. By recognizing the implications of adding risk premia exposures at the strategic asset allocation level, the WRS investment staff believed that they could better control the intended deviation (or active exposure relative to the policy benchmark) from the WRS equity policy benchmark, the MSCI ACWI Index. Which Risk Premia to Capture? Empirical studies have documented the existence of risk premia across various asset classes. The better known risk premia within equities include, size (Banz, 1981), value (Fama and French, 1992), momentum (Jegadeesh and Titam, 1993) and low volatility (Haugen and Baker, 1991). The next question the WRS investment staff confronted was to select which of these four equity risk premia they wanted to have strategic exposure to. As WRS sought to capture the risk premia in a passive manner, they were concerned that transaction costs might eat away at any potential risk premia outperformance. The impact of transaction costs on the capture of a broad market or the equity risk premium through a market capitalization index is low because the market portfolio is a buy-and-hold portfolio and is associated with a very low level of turnover. The turnover for size, value and low volatility risk premia indices are also modest and therefore transaction costs are unlikely to erode their respective premia. WRS investment staff carefully evaluated the expected transaction costs and ultimately decided to strategically allocate to the size, value and low-volatility risk premia. Global versus Local Risk Premia The next decision point for WRS concerned allocations to domestic versus global risk premia. Like the risk premia observed in the USA equity markets, many academic studies have confirmed similar premia in global equity markets (Chan, Hamao, and Lakonishok (1991), Fama and French (1998), Rouwenhurst (1998), Asness, Moskowitz, and Pedersen (2009)). The WRS policy objective was to capture a global equity risk premium, therefore, the WRS investment staff wished to capture additional risk premia in a global context. Exhibit 4 displays the historical existence of size and value risk premia across equities in the USA and Europe. Interestingly, over the May 1994 February 2012 analysis period, both markets showed similar performance patterns for these risk premia. Please refer to the disclaimer at the end of this document 5 of 8

Exhibit 4: Risk Premia across Markets 180 160 140 120 100 80 60 40 20 0 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 Europe Value - Europe Growth USA Value - USA Growth Europe Small - Europe Large USA Small - USA Large Optimal Allocation A fifth decision point for WRS was to determine how much capital to allocate to each of the risk premia in order to obtain a well diversified portfolio. It is possible to apply an optimization process for allocating among a portfolio of risk premia to maximize the portfolio Sharpe ratio; however, this exercise requires accurate estimates of risk and return for each of the risk premia and may be prone to estimation errors. One method for overcoming the challenges of optimization is to use an equal weighted approach. Equal weighting is a special case of mean-variance optimization that assumes all the risk premia have the same correlation coefficients, together with identical means and variances. Equally weighted portfolios are widely used in practice and they have been shown to be efficient out-of-sample (DeMiguel, Garlappi and Uppal [2009]). The WRS investment staff decided to apply an equal weighted approach to diversify across the risk premia. Funding Risk Premia The next WRS decision point related to how they would fund their risk premia allocation. Should they decrease the core passive allocation or decrease the allocation to active managers? The WRS investment staff pursued a more passive investing approach overall, allocating 70% of its equity to a passive strategy and allocating 30% of its total passive equity portfolio to the passive capture of risk premia. Implementing Risk Premia A further decision point related to how WRS would capture the risk premia. Should they use passive long-only risk premia tilted portfolios or funds that apply proprietary algorithms to create long-short portfolios to capture the risk premia. Although these proprietary funds have the potential benefit of capturing risk premia in a purer form (versus long-only funds), they can be constrained by capacity (especially on the short side of the portfolios) and in general are more expensive to gain access to. The WRS objective was to access to risk premia in a passive and cost effective manner, and therefore they agreed to implement a long only risk premium tilted portfolio. Other Considerations Today many active managers create passive fund options that track benchmarks that they create and calculate themselves. These self-created benchmarks introduce a potential conflict of interest and a governance concern that pension boards and trustees often raise that is, the separation of roles Please refer to the disclaimer at the end of this document 6 of 8

between index providers and managers whose performance is generally measured against index benchmarks. The WRS investment staff identified this as the final, but the most critical, due diligence issue that it debated before making its final decision as to which risk premia benchmarks they should choose. Ultimately, WRS opted to go with an independent index provider, without the potential conflicts of interest entailed by a money manager or investment consultant. Additionally, the WRS investment staff recommended adopting risk premia benchmarks that were constructed with a rules-based, objective, transparent, investable and replicable methodology and with appropriate index management guidelines to keep the costs of replication reasonably low. Conclusion The course of inquiry which led WRS to strategically allocate to granular risk premia may be useful for other pension plans, even those operating under different constraints. This case study demonstrates how allocating to risk premia in the strategic asset allocation process enabled one sponsor to potentially lower volatility, improve risk-adjusted returns and decrease fees. References Asness, C., T.J. Moskowitz, and L. Pedersen (2010), "Value and Momentum Everywhere", University of Chicago and AQR Capital Management working paper. Banz, R.W. (1981), The relationship between return and market value of common stocks, Journal of Financial Economics 9(1), 3-18. Black, F., Jensen, M.C., and Scholes, M. (1972), The Capital Asset Pricing Model: Some Empirical Tests, Studies in the Theory of Capital Markets Blitz, D., Startegic allocation to premiums in the equity market,, Robeco Asset Management. Carhart, M. (1997), On Persistence in Mutual Fund Performance, the Journal of Finance 52(1), 57-82. Chan, L., Y. Hamao, and J. Lakonishok(1991), Fundamentals and stock returns in Japan, Journal of Finance 46, 1739 1764. DeMiguel, V., L. Garlappi, R. Uppal.(2009), Optimal versus naive diversification: How inefficient is the 1/N portfolio strategy?, Review of Financial Studies. 22(5), 1915--1953 Fama, E., and K. French (1993), Common risk factors in the returns on stocks and bonds, Journal of Financial Economics 33(1), 3-56.Fama, E., and K. French, 1998, Value versus growth: The international evidence, Journal of Finance 53, 1975 1999. Grinblatt, M., S. Titman and R. Wermers (1995), Momentum investment strategies, portfolio performance, and herding: a study of mutual fund behavior, American Economic Review 85(5), 1088-1105. Haugen, R, and N. Baker (1991), The Efficient Market Inefficiency of Capitalization-Weighted Stock Portfolios, The Journal of Portfolio Management Jegadeesh, N. and S. Titman (1993), Returns to Buying Winners and Selling Losers: Implications for Market Efficiency, Journal of Finance 48(1), 65-91. Rouwenhorst, K. Geert (1998), International Momentum Strategies, The Journal of Finance, vol. 53, no. 1, pp. 267-284. Wyoming Retirement System (WRS) Board Policy Manual, September 2011. Please refer to the disclaimer at the end of this document 7 of 8

Client Service Information is Available 24 Hours a Day clientservice@ Americas Europe, Middle East & Africa Asia Pacific Americas Atlanta Boston Chicago Montreal Monterrey New York San Francisco Sao Paulo Stamford Toronto 1.888.588.4567 (toll free) + 1.404.551.3212 + 1.617.532.0920 + 1.312.675.0545 + 1.514.847.7506 + 52.81.1253.4020 + 1.212.804.3901 + 1.415.836.8800 + 55.11.3706.1360 +1.203.325.5630 + 1.416.628.1007 Cape Town Frankfurt Geneva London Milan Paris + 27.21.673.0100 + 49.69.133.859.00 + 41.22.817.9777 + 44.20.7618.2222 + 39.02.5849.0415 0800.91.59.17 (toll free) China North China South Hong Kong Seoul Singapore Sydney Tokyo 10800.852.1032 (toll free) 10800.152.1032 (toll free) + 852.2844.9333 798.8521.3392 (toll free) 800.852.3749 (toll free) + 61.2.9033.9333 + 81.3.5226.8222 Notice and Disclaimer This document and all of the information contained in it, including without limitation all text, data, graphs, charts (collectively, the Information ) is the property of MSCl Inc. or its subsidiaries (collectively, MSCI ), or MSCI s licensors, direct or indirect suppliers or any third party involved in making or compiling any Information (collectively, with MSCI, the Information Providers ) and is provided for informational purposes only. The Information may not be reproduced or redisseminated in whole or in part without prior written permission from MSCI. The Information may not be used to create derivative works or to verify or correct other data or information. For example (but without limitation), the Information many not be used to create indices, databases, risk models, analytics, software, or in connection with the issuing, offering, sponsoring, managing or marketing of any securities, portfolios, financial products or other investment vehicles utilizing or based on, linked to, tracking or otherwise derived from the Information or any other MSCI data, information, products or services. The user of the Information assumes the entire risk of any use it may make or permit to be made of the Information. NONE OF THE INFORMATION PROVIDERS MAKES ANY EXPRESS OR IMPLIED WARRANTIES OR REPRESENTATIONS WITH RESPECT TO THE INFORMATION (OR THE RESULTS TO BE OBTAINED BY THE USE THEREOF), AND TO THE MAXIMUM EXTENT PERMITTED BY APPLICABLE LAW, EACH INFORMATION PROVIDER EXPRESSLY DISCLAIMS ALL IMPLIED WARRANTIES (INCLUDING, WITHOUT LIMITATION, ANY IMPLIED WARRANTIES OF ORIGINALITY, ACCURACY, TIMELINESS, NON-INFRINGEMENT, COMPLETENESS, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE) WITH RESPECT TO ANY OF THE INFORMATION. Without limiting any of the foregoing and to the maximum extent permitted by applicable law, in no event shall any Information Provider have any liability regarding any of the Information for any direct, indirect, special, punitive, consequential (including lost profits) or any other damages even if notified of the possibility of such damages. The foregoing shall not exclude or limit any liability that may not by applicable law be excluded or limited, including without limitation (as applicable), any liability for death or personal injury to the extent that such injury results from the negligence or wilful default of itself, its servants, agents or sub-contractors. Information containing any historical information, data or analysis should not be taken as an indication or guarantee of any future performance, analysis, forecast or prediction. Past performance does not guarantee future results. None of the Information constitutes an offer to sell (or a solicitation of an offer to buy), any security, financial product or other investment vehicle or any trading strategy. MSCI s indirect wholly-owned subsidiary Institutional Shareholder Services, Inc. ( ISS ) is a Registered Investment Adviser under the Investment Advisers Act of 1940. Except with respect to any applicable products or services from ISS (including applicable products or services from MSCI ESG Research Information, which are provided by ISS), none of MSCI s products or services recommends, endorses, approves or otherwise expresses any opinion regarding any issuer, securities, financial products or instruments or trading strategies and none of MSCI s products or services is intended to constitute investment advice or a recommendation to make (or refrain from making) any kind of investment decision and may not be relied on as such. The MSCI ESG Indices use ratings and other data, analysis and information from MSCI ESG Research. MSCI ESG Research is produced ISS or its subsidiaries. Issuers mentioned or included in any MSCI ESG Research materials may be a client of MSCI, ISS, or another MSCI subsidiary, or the parent of, or affiliated with, a client of MSCI, ISS, or another MSCI subsidiary, including ISS Corporate Services, Inc., which provides tools and services to issuers. MSCI ESG Research materials, including materials utilized in any MSCI ESG Indices or other products, have not been submitted to, nor received approval from, the United States Securities and Exchange Commission or any other regulatory body. Any use of or access to products, services or information of MSCI requires a license from MSCI. MSCI, Barra, RiskMetrics, ISS, CFRA, FEA, and other MSCI brands and product names are the trademarks, service marks, or registered trademarks of MSCI or its subsidiaries in the United States and other jurisdictions. The Global Industry Classification Standard (GICS) was developed by and is the exclusive property of MSCI and Standard & Poor s. Global Industry Classification Standard (GICS) is a service mark of MSCI and Standard & Poor s. About MSCI MSCI Inc. is a leading provider of investment decision support tools to investors globally, including asset managers, banks, hedge funds and pension funds. MSCI products and services include indices, portfolio risk and performance analytics, and governance tools. The company s flagship product offerings are: the MSCI indices with approximately USD 7 trillion estimated to be benchmarked to them on a worldwide basis 1 ; Barra multi-asset class factor models, portfolio risk and performance analytics; RiskMetrics multi-asset class market and credit risk analytics; MSCI ESG (environmental, social and governance) Research screening, analysis and ratings; ISS governance research and outsourced proxy voting and reporting services; FEA valuation models and risk management software for the energy and commodities markets; and CFRA forensic accounting risk research, legal/regulatory risk assessment, and due diligence. MSCI is headquartered in New York, with research and commercial offices around the world. 1 As of June 30, 2011, based on evestment, Lipper and Bloomberg data. Please refer to the disclaimer at the end of this document 8 of 8