SlideShare a Scribd company logo
FOR INSTITUTIONAL INVESTOR USE ONLY
Portfolio Construction Today
Cliff Asness, Ph.D.
November 2017
Managing and Founding Principal
Summary
Low expected returns on traditional assets is a major issue
Yet the key questions have not changed:
• What return sources do you believe in?
• How do you combine them in a portfolio?
Aggressive diversification across multiple return sources can help
• Across established market risk premia
• Across “newer” alternative risk factors
Regardless of how good your portfolio is, sticking with it can be tough
Source: AQR. Diversification does not eliminate the risk of experiencing investment losses. 2
* Earnings data through 6/30/2017.
Source: AQR, Robert Shiller’s Data Library (“U.S. Stock Markets 1987-Present and CAPE Ratio”), through June 30, 2017. The universe of stocks represented is the S&P 500. For illustrative purposes only. Please
read important disclosures in the Appendix. 3
Shiller P/E for U.S. Equities, January 1900 – September 2017*
0
5
10
15
20
25
30
35
40
45
50
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
Cyclically-AdjustedPriceEarningsRatio
30.7
* Earnings data through 6/30/2017.
Source: AQR, Bloomberg, Robert Shiller’s Data Library (“U.S. Stock Markets 1987-Present and CAPE Ratio”). Data description: The real equity yield is an average of the Shiller earnings yield (using 10-year
earnings) scaled by 1.075 (embedding an annual EPS growth of 1.5%) and dividend yield plus 1.5% (roughly the long-run real growth of dividends-per-share and earnings-per-share). The universe of stocks
represented is the S&P 500. The real bond yield is the yield on long-term U.S. Treasury bonds minus long-term expected inflation based on Blue Chip Economic Indicators, Consensus Economics and the Federal
Reserve Bank of Philadelphia. Before survey data became available in 1978, expected long-term inflation is based on statistical estimates and on 1-year ahead Livingston inflation forecasts. This is one set of
estimates of ex-ante real yields for equities and bonds, but other reasonable specifications should tell broadly the same story. Please read important disclosures in the Appendix. 4
U.S. Equity and Bond Real Yields, January 1900 – September 2017*
-5%
0%
5%
10%
15%
20%
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
U.S. Equity Real Yield U.S. 10Y Treasury Real Yield
0.1%
3.5%
* Earnings data through 6/30/2017.
Source: AQR, Bloomberg, Robert Shiller’s Data Library (“U.S. Stock Markets 1987-Present and CAPE Ratio”). Data description: The real equity yield is an average of the Shiller earnings yield (using 10-year
earnings) scaled by 1.075 (embedding an annual EPS growth of 1.5%) and dividend yield plus 1.5% (roughly the long-run real growth of dividends-per-share and earnings-per-share). The universe of stocks
represented is the S&P 500. The real bond yield is the yield on long-term U.S. Treasury bonds minus long-term expected inflation based on Blue Chip Economic Indicators, Consensus Economics and the Federal
Reserve Bank of Philadelphia. Before survey data became available in 1978, expected long-term inflation is based on statistical estimates and on 1-year ahead Livingston inflation forecasts. This is one set of
estimates of ex-ante real yields for equities and bonds, but other reasonable specifications should tell broadly the same story. Please read important disclosures in the Appendix. 5
U.S. Real Yield Spread, January 1900 – September 2017*
-4%
-2%
0%
2%
4%
6%
8%
10%
12%
14%
16%
18%
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
Real Yield Spread (Equities Minus Bonds) Average Real Yield Spread
3.3%
* Earnings data through 6/30/2017.
Source: AQR, Bloomberg, Robert Shiller’s Data Library (“U.S. Stock Markets 1987-Present and CAPE Ratio”), Ibbotson Associates (Morningstar), Kozicki-Tinsley (2006), Federal Reserve Bank of Philadelphia, Blue
Chip Economic Indicators, Consensus Economics. U.S. 60/40 is 60% U.S. stocks represented by the Standard&Poor’s 500 Index and 40% long-dated Treasuries represented by 10-year Treasuries. The equity yield
is a 50/50 mix of two measures: 50% Shiller E/P * 1.075 and 50% Dividend/Price + 1.5%. U.S. bond yield is 10-year real Treasury Yield over 10-year inflation forecast. Scalars are used to account for long term real
Earnings Per Share (EPS) Growth. Past performance is not a guarantee of future performance. Please read important disclosures in the Appendix. 6
Real Yield of U.S. 60/40, January 1900 – September 2017*
0%
2%
4%
6%
8%
10%
12%
14%
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
U.S. 60/40 Real Yield 5% Real Return
2.1%
Source: AQR. 7
What Is a Factor?
Market
Growth
(Expensive)
Value
(Cheap)Value
(Cheap)
Value
(Cheap)
Growth
(Expensive)
Stocks Same Stocks, Just
Sorted
Value Tilt Value Premium
Investing Style Factor
LongShort
Source: AQR. For illustrative purposes only. 8
Sources of Return
Alpha
Alternative Risk
Factors
Market Risk Premia
Source: Harvey, C., Y. Liu and H. Zhu. 2015.”…and the Cross-Section of Expected Returns.” Chart above represents the increase in the number of factors that papers are being written about and the number of
papers being written about factors. Includes only factors that published t-statistics or related statistics. Does not include factors that are researched but not published. 9
Choosing Your Animals from the “Factor Zoo”
Source: AQR 10
What of “The Zoo” Survives Our Criteria?
Momentum
Value
Carry
Defensive
Trend
Volatility
Source: AQR 11
Range of Implementation Choices
Long-only
Unlevered
Equity dominated
Single factor
Single geography
Single asset class
Long/short
Leveraged
Diversified
Multi-factor
Global
Multi-asset
Constrained Unconstrained
Value (B/P) Momentum
Profitability Low Beta
Measuring the Valuation of Factors in U.S. Large Cap Equities
Sources: AQR, CRSP, Compustat, XpressFeed Global. December 1967–May 2017. For illustrative purposes only and not representative of a portfolio that AQR currently manages. The spreads are a combination of
B/P and S/P spreads, and the universe is U.S. large cap stocks from CRSP/XpressFeed. The value factor is equivalent to that described in Fama and French (1992), except using up-to-date prices as described in
Asness and Frazzini (2013); Momentum is the UMD factor; Gross-Profits-to-Assets, or Profitability, is the GPOA (Gross profits Over Assets) factor as described in Novy-Marx (2012); Low-Beta is the Betting-Against-
Beta, or BAB, factor described in Frazzini and Pedersen (2014). Value, Momentum and Betting-Against-Beta factors are described in detail at the AQR Data Library, here: https://www.aqr.com/library/data-sets. For
more detail on methodology used in the chart above, see the Appendix and Asness (2016), here: https://www.aqr.com/cliffs-perspective/my-factor-philippic. Hypothetical data has inherent limitations, some of which
are disclosed in the Appendix. 12
Are the Main Factors Overcrowded and Overpriced?STDofValueSpread
(BasedonB/PandS/PSpreads)
-3
0
3
6
1968 1974 1980 1986 1992 1998 2004 2010 2016
-3
0
3
6
1968 1974 1980 1986 1992 1998 2004 2010 2016
-3
0
3
6
1968 1974 1980 1986 1992 1998 2004 2010 2016
-3
0
3
6
1968 1974 1980 1986 1992 1998 2004 2010 2016
0.11
(68th percentile)
0.06
(60th percentile)
0.30
(58th percentile) -1.26
(2nd percentile)
13
Fairly Priced Strategies Do Not Ensure Against Short-term Panic
Be Realistic to Stick with a Plan Long-term
No Silver Bullets
High capacity, low Sharpe strategies are the long-term investor’s buddy
Unconventionality is more painful when it’s not working!
Doing more than you can stick with is near guaranteed failure
Good ideas aren’t “all or nothing”
14
Appendix
Disclosures
16
The views expressed reflect the current views as of the date hereof and neither the speaker nor AQR undertakes to advise you of any changes in the views expressed herein. It should not be assumed
that the speaker will make investment recommendations in the future that are consistent with the views expressed herein, or use any or all of the techniques or methods of analysis described herein in
managing client accounts.
The information contained herein is only as current as of the date indicated, and may be superseded by subsequent market events or for other reasons. Charts and graphs provided herein are for
illustrative purposes only. Nothing contained herein constitutes investment, legal, tax or other advice nor is it to be relied on in making an investment or other decision.
There can be no assurance that an investment strategy will be successful. Historic market trends are not reliable indicators of actual future market behavior or future performance of any particular
investment which may differ materially, and should not be relied upon as such.
The investment strategy and themes discussed herein may be unsuitable for investors depending on their specific investment objectives and financial situation. Please note that changes in the rate of
exchange of a currency may affect the value, price or income of an investment adversely.
Neither AQR nor the speaker assumes any duty to, nor undertakes to update forward looking statements. No representation or warranty, express or implied, is made or given by or on behalf of AQR, the
speaker or any other person as to the accuracy and completeness or fairness of the information contained in this presentation, and no responsibility or liability is accepted for any such information. By
accepting this presentation in its entirety, the recipient acknowledges its understanding and acceptance of the foregoing statement.
AQR Capital Management (Europe) LLP, a U.K. limited liability partnership, is authorized by the U.K. Financial Conduct Authority (“FCA”) for advising on investments (except on Pension Transfers and
Pension Opt Outs), arranging (bringing about) deals in investments, dealing in investments as agent, managing a UCITS, managing an unauthorized AIF and managing investments. This material has
been approved to satisfy UK FCA COBS 4.
Disclosures
17
This document has been provided to you solely for information purposes and does not constitute an offer or solicitation of an offer or any advice or recommendation to purchase any securities or other financial instruments and may not be construed as
such. The factual information set forth herein has been obtained or derived from sources believed to be reliable but it is not necessarily all-inclusive and is not guaranteed as to its accuracy and is not to be regarded as a representation or warranty,
express or implied, as to the information’s accuracy or completeness, nor should the attached information serve as the basis of any investment decision. This document is intended exclusively for the use of the person to whom it has been delivered
and it is not to be reproduced or redistributed to any other person.
PAST PERFORMANCE IS NOT A GUARANTEE OF FUTURE PERFORMANCE. There is no guarantee, express or implied, that long-term return and/or volatility targets will be achieved. Realized returns and/or volatility may come in higher or lower
than expected. Diversification does not eliminate the risk of experiencing investment losses.
Hypothetical performance results (e.g., quantitative backtests) have many inherent limitations, some of which, but not all, are described herein. No representation is being made that any fund or account will or is likely to achieve profits or losses similar
to those shown herein. In fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently realized by any particular trading program. One of the limitations of hypothetical performance results is
that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk in actual trading. For example, the
ability to withstand losses or adhere to a particular trading program in spite of trading losses are material points which can adversely affect actual trading results. The hypothetical performance results contained herein represent the application of the
quantitative models as currently in effect on the date first written above and there can be no assurance that the models will remain the same in the future or that an application of the current models in the future will produce similar results because the
relevant market and economic conditions that prevailed during the hypothetical performance period will not necessarily recur. There are numerous other factors related to the markets in general or to the implementation of any specific trading program
which cannot be fully accounted for in the preparation of hypothetical performance results, all of which can adversely affect actual trading results. Discounting factors may be applied to reduce suspected anomalies. This backtest’s return, for this period,
may vary depending on the date it is run. Hypothetical performance results are presented for illustrative purposes only. In addition, our transaction cost assumptions utilized in backtests , where noted, are based on AQR's historical realized transaction
costs and market data. Certain of the assumptions have been made for modeling purposes and are unlikely to be realized. 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. Changes in the assumptions may have a material impact on the hypothetical returns presented. Hypothetical performance is gross of advisory fees, net of transaction costs, and includes the
reinvestment of dividends. If the expenses were reflected, the performance shown would be lower. Where noted, the hypothetical net performance data presented reflects the deduction of a model advisory fee and does not account for administrative
expenses a fund or managed account may incur. Actual advisory fees for products offering this strategy may vary.
(c) Morningstar 2017. All rights reserved. Use of this content requires expert knowledge. It is to be used by specialist institutions only. The information contained herein: (1) is proprietary to Morningstar and/or its content providers; (2) may not be copied,
adapted or distributed; and (3) is not warranted to be accurate, complete or timely. Neither Morningstar nor its content providers are responsible for any damages or losses arising from any use of this information, except where such damages or losses
cannot be limited or excluded by law in your jurisdiction. Past financial performance is no guarantee of future results.
There is a risk of substantial loss associated with trading commodities, futures, options, derivatives and other financial instruments. Before trading, investors should carefully consider their financial position and risk tolerance to determine if the proposed
trading style is appropriate. Investors should realize that when trading futures, commodities, options, derivatives and other financial instruments one could lose the full balance of their account. It is also possible to lose more than the initial deposit when
trading derivatives or using leverage. All funds committed to such a trading strategy should be purely risk capital.
Broad-based securities indices are unmanaged and are not subject to fees and expenses typically associated with managed accounts or investment funds. Investments cannot be made directly in an index.
The S&P 500 Index is the Standard & Poor’s composite index of 500 stocks, a widely recognized, unmanaged index of common stock prices.
The BofA Merrill Lynch U.S. T-Bill 0-3 Month Index tracks the performance of the U.S. dollar denominated U.S. Treasury Bills publicly issued in the U.S. domestic market with a remaining term to final maturity of less than 3 months.
This presentation may not be copied, reproduced, republished, posted, transmitted, disclosed, distributed or disseminated, in whole or in part, in any way without the prior written consent of AQR Capital Management (Asia) Limited (together with its
affiliates, “AQR”) or as required by applicable law. This presentation and the information contained herein are for educational and informational purposes only and do not constitute and should not be construed as an offering of advisory services or as
an invitation, inducement or offer to sell or solicitation of an offer to buy any securities, related financial instruments or financial products in any jurisdiction. Investments described herein will involve significant risk factors which will be set out in the
offering documents for such investments and are not described in this presentation. The information in this presentation is general only and you should refer to the final private information memorandum for complete information. To the extent of any
conflict between this presentation and the private information memorandum, the private information memorandum shall prevail. The contents of this presentation have not been reviewed by any regulatory authority in Hong Kong. You are advised to
exercise caution and if you are in any doubt about any of the contents of this presentation, you should obtain independent professional advice.
Construction of Valuation Spreads
The valuation factors follow the method of Fama and French (1993) except we use up-to-date price as studied by Asness and Frazzini (2013). The book-to-price (B/P) data comes from the AQR data library and sales-to-price (S/P) is calculated using
the same data sources (CRSP, Compustat, XpressFeed Global). Data for the momentum factor and Betting-against-beta (BAB) factor come from the AQR data library. Data for all factors is for large cap U.S. stocks and are capitalization weighted long
the 1/3 best stocks on the respective measure and short the 1/3 worst. Data are from January 1968 through January 2016. Additional information on sources and calculation methodologies are described on the website along with the data sets.
Portfolio Construction Today

More Related Content

What's hot

Hilltop decorrelated fund august 2013 factsheet
Hilltop decorrelated fund august 2013 factsheetHilltop decorrelated fund august 2013 factsheet
Hilltop decorrelated fund august 2013 factsheetJohn Robertson
 
Hilltop decorrelated fund october 2013 factsheet
Hilltop decorrelated fund october 2013 factsheetHilltop decorrelated fund october 2013 factsheet
Hilltop decorrelated fund october 2013 factsheetJohn Robertson
 
Olympic Wealth Fund, 'Javelin' Fund fact sheet class 'B' February 2015
Olympic Wealth Fund, 'Javelin' Fund fact sheet class 'B' February 2015Olympic Wealth Fund, 'Javelin' Fund fact sheet class 'B' February 2015
Olympic Wealth Fund, 'Javelin' Fund fact sheet class 'B' February 2015
Olympic Wealth Fund
 
Developing an Asset Allocation Strategy and the Military Family
Developing an Asset Allocation Strategy and the Military FamilyDeveloping an Asset Allocation Strategy and the Military Family
Developing an Asset Allocation Strategy and the Military Family
milfamln
 
netwealth educational webinar - The evolution of asset allocation
netwealth educational webinar - The evolution of asset allocationnetwealth educational webinar - The evolution of asset allocation
netwealth educational webinar - The evolution of asset allocation
netwealthInvest
 
Are Australian investors sufficiently diversified?
Are Australian investors sufficiently diversified?Are Australian investors sufficiently diversified?
Are Australian investors sufficiently diversified?
netwealth Investment & Superannuation
 
How do you build an efficient mutual fund portfolio?
How do you build an efficient mutual fund portfolio?How do you build an efficient mutual fund portfolio?
How do you build an efficient mutual fund portfolio?
Quantum Mutual Fund
 
Investment portfolio presentation
Investment portfolio presentationInvestment portfolio presentation
Investment portfolio presentation
neelimatadikonda
 
Investing in a bull run
Investing in a bull runInvesting in a bull run
Investing in a bull run
Quantum Mutual Fund
 
Beyond the Equity Risk Premia
Beyond the Equity Risk PremiaBeyond the Equity Risk Premia
Beyond the Equity Risk Premia
Windham Labs
 
Asset Allocation And Your Portfolio
Asset Allocation And Your PortfolioAsset Allocation And Your Portfolio
Asset Allocation And Your Portfolio
WilliamDeye
 
Diversifying Away Equity Exposure
Diversifying Away Equity ExposureDiversifying Away Equity Exposure
Diversifying Away Equity Exposure
Windham Labs
 
Optimal Capital's 2010 Outlook
Optimal Capital's 2010 OutlookOptimal Capital's 2010 Outlook
Optimal Capital's 2010 OutlookChristian
 
Aylett Fund Managers
Aylett Fund ManagersAylett Fund Managers
Aylett Fund Managers
Senate Group Financial Advisors
 
Investing for a lifetime
Investing for a lifetimeInvesting for a lifetime
Investing for a lifetime
tubesock
 
Strategies for positive returns in volatile markets
Strategies for positive returns in volatile marketsStrategies for positive returns in volatile markets
Strategies for positive returns in volatile markets
netwealthInvest
 
24771 Merlon Retirement Papers_FINAL
24771 Merlon Retirement Papers_FINAL24771 Merlon Retirement Papers_FINAL
24771 Merlon Retirement Papers_FINALSam Morris
 
Netwealth portfolio construction series - Successful value investing in small...
Netwealth portfolio construction series - Successful value investing in small...Netwealth portfolio construction series - Successful value investing in small...
Netwealth portfolio construction series - Successful value investing in small...
netwealthInvest
 
Systemic Risk in the Asset Management Industry
Systemic Risk in the Asset Management IndustrySystemic Risk in the Asset Management Industry
Systemic Risk in the Asset Management Industry
London Business School
 
Myths and Realities of ETFs and Index Investing
Myths and Realities of ETFs and Index InvestingMyths and Realities of ETFs and Index Investing
Myths and Realities of ETFs and Index Investing
London Business School
 

What's hot (20)

Hilltop decorrelated fund august 2013 factsheet
Hilltop decorrelated fund august 2013 factsheetHilltop decorrelated fund august 2013 factsheet
Hilltop decorrelated fund august 2013 factsheet
 
Hilltop decorrelated fund october 2013 factsheet
Hilltop decorrelated fund october 2013 factsheetHilltop decorrelated fund october 2013 factsheet
Hilltop decorrelated fund october 2013 factsheet
 
Olympic Wealth Fund, 'Javelin' Fund fact sheet class 'B' February 2015
Olympic Wealth Fund, 'Javelin' Fund fact sheet class 'B' February 2015Olympic Wealth Fund, 'Javelin' Fund fact sheet class 'B' February 2015
Olympic Wealth Fund, 'Javelin' Fund fact sheet class 'B' February 2015
 
Developing an Asset Allocation Strategy and the Military Family
Developing an Asset Allocation Strategy and the Military FamilyDeveloping an Asset Allocation Strategy and the Military Family
Developing an Asset Allocation Strategy and the Military Family
 
netwealth educational webinar - The evolution of asset allocation
netwealth educational webinar - The evolution of asset allocationnetwealth educational webinar - The evolution of asset allocation
netwealth educational webinar - The evolution of asset allocation
 
Are Australian investors sufficiently diversified?
Are Australian investors sufficiently diversified?Are Australian investors sufficiently diversified?
Are Australian investors sufficiently diversified?
 
How do you build an efficient mutual fund portfolio?
How do you build an efficient mutual fund portfolio?How do you build an efficient mutual fund portfolio?
How do you build an efficient mutual fund portfolio?
 
Investment portfolio presentation
Investment portfolio presentationInvestment portfolio presentation
Investment portfolio presentation
 
Investing in a bull run
Investing in a bull runInvesting in a bull run
Investing in a bull run
 
Beyond the Equity Risk Premia
Beyond the Equity Risk PremiaBeyond the Equity Risk Premia
Beyond the Equity Risk Premia
 
Asset Allocation And Your Portfolio
Asset Allocation And Your PortfolioAsset Allocation And Your Portfolio
Asset Allocation And Your Portfolio
 
Diversifying Away Equity Exposure
Diversifying Away Equity ExposureDiversifying Away Equity Exposure
Diversifying Away Equity Exposure
 
Optimal Capital's 2010 Outlook
Optimal Capital's 2010 OutlookOptimal Capital's 2010 Outlook
Optimal Capital's 2010 Outlook
 
Aylett Fund Managers
Aylett Fund ManagersAylett Fund Managers
Aylett Fund Managers
 
Investing for a lifetime
Investing for a lifetimeInvesting for a lifetime
Investing for a lifetime
 
Strategies for positive returns in volatile markets
Strategies for positive returns in volatile marketsStrategies for positive returns in volatile markets
Strategies for positive returns in volatile markets
 
24771 Merlon Retirement Papers_FINAL
24771 Merlon Retirement Papers_FINAL24771 Merlon Retirement Papers_FINAL
24771 Merlon Retirement Papers_FINAL
 
Netwealth portfolio construction series - Successful value investing in small...
Netwealth portfolio construction series - Successful value investing in small...Netwealth portfolio construction series - Successful value investing in small...
Netwealth portfolio construction series - Successful value investing in small...
 
Systemic Risk in the Asset Management Industry
Systemic Risk in the Asset Management IndustrySystemic Risk in the Asset Management Industry
Systemic Risk in the Asset Management Industry
 
Myths and Realities of ETFs and Index Investing
Myths and Realities of ETFs and Index InvestingMyths and Realities of ETFs and Index Investing
Myths and Realities of ETFs and Index Investing
 

Similar to Portfolio Construction Today

A Better Investment Experience
A Better Investment ExperienceA Better Investment Experience
A Better Investment Experience
Michael J. Evans
 
Investment Insights for August, 2017
Investment Insights for August, 2017Investment Insights for August, 2017
Investment Insights for August, 2017
Cornerstone Wealth Management MWP
 
Investment Insights - Expectations for Capital Market Returns
Investment Insights - Expectations for Capital Market ReturnsInvestment Insights - Expectations for Capital Market Returns
Investment Insights - Expectations for Capital Market Returns
Mark Beckrich
 
Pursuing_a_Better_Investment_Experience_Slides
Pursuing_a_Better_Investment_Experience_SlidesPursuing_a_Better_Investment_Experience_Slides
Pursuing_a_Better_Investment_Experience_SlidesEddy Mejlholm
 
10 Macroeconomic Forecasts for 2016
10 Macroeconomic Forecasts for 201610 Macroeconomic Forecasts for 2016
10 Macroeconomic Forecasts for 2016
Guggenheim Partners
 
Market Volatility
Market VolatilityMarket Volatility
Market Volatilitydkeogh
 
2017 Pursuing a Better Investment Experience
2017 Pursuing a Better Investment Experience  2017 Pursuing a Better Investment Experience
2017 Pursuing a Better Investment Experience
Susan Linkous, AIF®
 
NWAM investment outlook 12-31-18
NWAM investment outlook 12-31-18NWAM investment outlook 12-31-18
NWAM investment outlook 12-31-18
Patrick Thuemmel
 
The five steps in financial planning, forecasting internalexternal .pdf
The five steps in financial planning, forecasting internalexternal .pdfThe five steps in financial planning, forecasting internalexternal .pdf
The five steps in financial planning, forecasting internalexternal .pdf
amrahlifestyle
 
enterpriseSeattle 2011 Forecast - Mike Dueker
enterpriseSeattle 2011 Forecast - Mike DuekerenterpriseSeattle 2011 Forecast - Mike Dueker
enterpriseSeattle 2011 Forecast - Mike Dueker
enterpriseSeattle
 
2020 Investment Outlook: Risks and Opportunities for Investors in Global Markets
2020 Investment Outlook: Risks and Opportunities for Investors in Global Markets2020 Investment Outlook: Risks and Opportunities for Investors in Global Markets
2020 Investment Outlook: Risks and Opportunities for Investors in Global Markets
Maxine Elliott
 
Monthly Perspectives - Volatility - June 2016
Monthly Perspectives - Volatility - June 2016Monthly Perspectives - Volatility - June 2016
Monthly Perspectives - Volatility - June 2016
TD Wealth Private Investment Advice
 
2017 Market Outlook - U.S. Equity
2017 Market Outlook - U.S. Equity2017 Market Outlook - U.S. Equity
2017 Market Outlook - U.S. Equity
T. Rowe Price
 
Key questions for the long term investor
Key questions for the long term investorKey questions for the long term investor
Key questions for the long term investor
Better Financial Education
 
Quarterly Market Outlook April 2016
Quarterly Market Outlook April 2016Quarterly Market Outlook April 2016
Quarterly Market Outlook April 2016
JonGrant01
 
Laurentian Bank Securities - Economic Research and Strategy
Laurentian Bank Securities - Economic Research and Strategy Laurentian Bank Securities - Economic Research and Strategy
Laurentian Bank Securities - Economic Research and Strategy
Mark MacIsaac
 
LBS Economic Research and Strategy - August 24, 2017
LBS Economic Research and Strategy - August 24, 2017 LBS Economic Research and Strategy - August 24, 2017
LBS Economic Research and Strategy - August 24, 2017
Mark MacIsaac
 

Similar to Portfolio Construction Today (20)

A Better Investment Experience
A Better Investment ExperienceA Better Investment Experience
A Better Investment Experience
 
Investment Insights for August, 2017
Investment Insights for August, 2017Investment Insights for August, 2017
Investment Insights for August, 2017
 
Investment Insights - Expectations for Capital Market Returns
Investment Insights - Expectations for Capital Market ReturnsInvestment Insights - Expectations for Capital Market Returns
Investment Insights - Expectations for Capital Market Returns
 
Pursuing_a_Better_Investment_Experience_Slides
Pursuing_a_Better_Investment_Experience_SlidesPursuing_a_Better_Investment_Experience_Slides
Pursuing_a_Better_Investment_Experience_Slides
 
10 Macroeconomic Forecasts for 2016
10 Macroeconomic Forecasts for 201610 Macroeconomic Forecasts for 2016
10 Macroeconomic Forecasts for 2016
 
Market Volatility
Market VolatilityMarket Volatility
Market Volatility
 
2017 Pursuing a Better Investment Experience
2017 Pursuing a Better Investment Experience  2017 Pursuing a Better Investment Experience
2017 Pursuing a Better Investment Experience
 
NWAM investment outlook 12-31-18
NWAM investment outlook 12-31-18NWAM investment outlook 12-31-18
NWAM investment outlook 12-31-18
 
June
JuneJune
June
 
Pursuing a Better Investment Experience
Pursuing a Better Investment ExperiencePursuing a Better Investment Experience
Pursuing a Better Investment Experience
 
The five steps in financial planning, forecasting internalexternal .pdf
The five steps in financial planning, forecasting internalexternal .pdfThe five steps in financial planning, forecasting internalexternal .pdf
The five steps in financial planning, forecasting internalexternal .pdf
 
enterpriseSeattle 2011 Forecast - Mike Dueker
enterpriseSeattle 2011 Forecast - Mike DuekerenterpriseSeattle 2011 Forecast - Mike Dueker
enterpriseSeattle 2011 Forecast - Mike Dueker
 
2020 Investment Outlook: Risks and Opportunities for Investors in Global Markets
2020 Investment Outlook: Risks and Opportunities for Investors in Global Markets2020 Investment Outlook: Risks and Opportunities for Investors in Global Markets
2020 Investment Outlook: Risks and Opportunities for Investors in Global Markets
 
Monthly Perspectives - Volatility - June 2016
Monthly Perspectives - Volatility - June 2016Monthly Perspectives - Volatility - June 2016
Monthly Perspectives - Volatility - June 2016
 
2017 Market Outlook - U.S. Equity
2017 Market Outlook - U.S. Equity2017 Market Outlook - U.S. Equity
2017 Market Outlook - U.S. Equity
 
Key questions for the long term investor
Key questions for the long term investorKey questions for the long term investor
Key questions for the long term investor
 
Quarterly Market Outlook April 2016
Quarterly Market Outlook April 2016Quarterly Market Outlook April 2016
Quarterly Market Outlook April 2016
 
Asset allocation update
Asset allocation updateAsset allocation update
Asset allocation update
 
Laurentian Bank Securities - Economic Research and Strategy
Laurentian Bank Securities - Economic Research and Strategy Laurentian Bank Securities - Economic Research and Strategy
Laurentian Bank Securities - Economic Research and Strategy
 
LBS Economic Research and Strategy - August 24, 2017
LBS Economic Research and Strategy - August 24, 2017 LBS Economic Research and Strategy - August 24, 2017
LBS Economic Research and Strategy - August 24, 2017
 

More from London Business School

Kuwait Petroleum Corporation: Transforming leadership for 2030 and beyond
Kuwait Petroleum Corporation: Transforming leadership for 2030 and beyondKuwait Petroleum Corporation: Transforming leadership for 2030 and beyond
Kuwait Petroleum Corporation: Transforming leadership for 2030 and beyond
London Business School
 
Microsoft and London Business School
 Microsoft and London Business School Microsoft and London Business School
Microsoft and London Business School
London Business School
 
Risk taking the ATP way
Risk taking the ATP wayRisk taking the ATP way
Risk taking the ATP way
London Business School
 
Money management in equilibrium
Money management in equilibrium Money management in equilibrium
Money management in equilibrium
London Business School
 
The ten commandments of business innovation | London Business School
The ten commandments of business innovation | London Business SchoolThe ten commandments of business innovation | London Business School
The ten commandments of business innovation | London Business School
London Business School
 
Soren Jensen and London Business School - Driving organisational change
Soren Jensen and London Business School - Driving organisational changeSoren Jensen and London Business School - Driving organisational change
Soren Jensen and London Business School - Driving organisational change
London Business School
 
Corporate Governance Through Voice and Exit: Evidence from Standard Life Inve...
Corporate Governance Through Voice and Exit: Evidence from Standard Life Inve...Corporate Governance Through Voice and Exit: Evidence from Standard Life Inve...
Corporate Governance Through Voice and Exit: Evidence from Standard Life Inve...
London Business School
 
Telenor and London Business School
Telenor and London Business SchoolTelenor and London Business School
Telenor and London Business School
London Business School
 
Smurfit Kappa and London Business School
Smurfit Kappa and London Business SchoolSmurfit Kappa and London Business School
Smurfit Kappa and London Business School
London Business School
 
Systemic Risk in Asset Management
Systemic Risk in Asset Management Systemic Risk in Asset Management
Systemic Risk in Asset Management
London Business School
 
Nordea and London Business School
Nordea and London Business School Nordea and London Business School
Nordea and London Business School
London Business School
 
5 top reads on human potential | London Business School
5 top reads on human potential | London Business School5 top reads on human potential | London Business School
5 top reads on human potential | London Business School
London Business School
 
Curse of the Benchmarks
Curse of the BenchmarksCurse of the Benchmarks
Curse of the Benchmarks
London Business School
 
Asset Allocations in Pension Plans
Asset Allocations in Pension PlansAsset Allocations in Pension Plans
Asset Allocations in Pension Plans
London Business School
 
Private Equity: A frontier or nearing center stage?
Private Equity: A frontier or nearing center stage? Private Equity: A frontier or nearing center stage?
Private Equity: A frontier or nearing center stage?
London Business School
 
Bond Markets Should Be Different in the Future
Bond Markets Should Be Different in the FutureBond Markets Should Be Different in the Future
Bond Markets Should Be Different in the Future
London Business School
 
8 ways to negotiate your job offer | London Business School
8 ways to negotiate your job offer | London Business School8 ways to negotiate your job offer | London Business School
8 ways to negotiate your job offer | London Business School
London Business School
 
Why should anyone work here? | London Business School
Why should anyone work here? | London Business SchoolWhy should anyone work here? | London Business School
Why should anyone work here? | London Business School
London Business School
 
Marketing's important. But marketers often aren't.
Marketing's important. But marketers often aren't.Marketing's important. But marketers often aren't.
Marketing's important. But marketers often aren't.
London Business School
 
5 reasons why leaders fail | London Business School
5 reasons why leaders fail | London Business School5 reasons why leaders fail | London Business School
5 reasons why leaders fail | London Business School
London Business School
 

More from London Business School (20)

Kuwait Petroleum Corporation: Transforming leadership for 2030 and beyond
Kuwait Petroleum Corporation: Transforming leadership for 2030 and beyondKuwait Petroleum Corporation: Transforming leadership for 2030 and beyond
Kuwait Petroleum Corporation: Transforming leadership for 2030 and beyond
 
Microsoft and London Business School
 Microsoft and London Business School Microsoft and London Business School
Microsoft and London Business School
 
Risk taking the ATP way
Risk taking the ATP wayRisk taking the ATP way
Risk taking the ATP way
 
Money management in equilibrium
Money management in equilibrium Money management in equilibrium
Money management in equilibrium
 
The ten commandments of business innovation | London Business School
The ten commandments of business innovation | London Business SchoolThe ten commandments of business innovation | London Business School
The ten commandments of business innovation | London Business School
 
Soren Jensen and London Business School - Driving organisational change
Soren Jensen and London Business School - Driving organisational changeSoren Jensen and London Business School - Driving organisational change
Soren Jensen and London Business School - Driving organisational change
 
Corporate Governance Through Voice and Exit: Evidence from Standard Life Inve...
Corporate Governance Through Voice and Exit: Evidence from Standard Life Inve...Corporate Governance Through Voice and Exit: Evidence from Standard Life Inve...
Corporate Governance Through Voice and Exit: Evidence from Standard Life Inve...
 
Telenor and London Business School
Telenor and London Business SchoolTelenor and London Business School
Telenor and London Business School
 
Smurfit Kappa and London Business School
Smurfit Kappa and London Business SchoolSmurfit Kappa and London Business School
Smurfit Kappa and London Business School
 
Systemic Risk in Asset Management
Systemic Risk in Asset Management Systemic Risk in Asset Management
Systemic Risk in Asset Management
 
Nordea and London Business School
Nordea and London Business School Nordea and London Business School
Nordea and London Business School
 
5 top reads on human potential | London Business School
5 top reads on human potential | London Business School5 top reads on human potential | London Business School
5 top reads on human potential | London Business School
 
Curse of the Benchmarks
Curse of the BenchmarksCurse of the Benchmarks
Curse of the Benchmarks
 
Asset Allocations in Pension Plans
Asset Allocations in Pension PlansAsset Allocations in Pension Plans
Asset Allocations in Pension Plans
 
Private Equity: A frontier or nearing center stage?
Private Equity: A frontier or nearing center stage? Private Equity: A frontier or nearing center stage?
Private Equity: A frontier or nearing center stage?
 
Bond Markets Should Be Different in the Future
Bond Markets Should Be Different in the FutureBond Markets Should Be Different in the Future
Bond Markets Should Be Different in the Future
 
8 ways to negotiate your job offer | London Business School
8 ways to negotiate your job offer | London Business School8 ways to negotiate your job offer | London Business School
8 ways to negotiate your job offer | London Business School
 
Why should anyone work here? | London Business School
Why should anyone work here? | London Business SchoolWhy should anyone work here? | London Business School
Why should anyone work here? | London Business School
 
Marketing's important. But marketers often aren't.
Marketing's important. But marketers often aren't.Marketing's important. But marketers often aren't.
Marketing's important. But marketers often aren't.
 
5 reasons why leaders fail | London Business School
5 reasons why leaders fail | London Business School5 reasons why leaders fail | London Business School
5 reasons why leaders fail | London Business School
 

Recently uploaded

Business Valuation Principles for Entrepreneurs
Business Valuation Principles for EntrepreneursBusiness Valuation Principles for Entrepreneurs
Business Valuation Principles for Entrepreneurs
Ben Wann
 
Unveiling the Secrets How Does Generative AI Work.pdf
Unveiling the Secrets How Does Generative AI Work.pdfUnveiling the Secrets How Does Generative AI Work.pdf
Unveiling the Secrets How Does Generative AI Work.pdf
Sam H
 
The Parable of the Pipeline a book every new businessman or business student ...
The Parable of the Pipeline a book every new businessman or business student ...The Parable of the Pipeline a book every new businessman or business student ...
The Parable of the Pipeline a book every new businessman or business student ...
awaisafdar
 
RMD24 | Retail media: hoe zet je dit in als je geen AH of Unilever bent? Heid...
RMD24 | Retail media: hoe zet je dit in als je geen AH of Unilever bent? Heid...RMD24 | Retail media: hoe zet je dit in als je geen AH of Unilever bent? Heid...
RMD24 | Retail media: hoe zet je dit in als je geen AH of Unilever bent? Heid...
BBPMedia1
 
Lookback Analysis
Lookback AnalysisLookback Analysis
Lookback Analysis
Safe PaaS
 
chapter 10 - excise tax of transfer and business taxation
chapter 10 - excise tax of transfer and business taxationchapter 10 - excise tax of transfer and business taxation
chapter 10 - excise tax of transfer and business taxation
AUDIJEAngelo
 
Brand Analysis for an artist named Struan
Brand Analysis for an artist named StruanBrand Analysis for an artist named Struan
Brand Analysis for an artist named Struan
sarahvanessa51503
 
Digital Transformation in PLM - WHAT and HOW - for distribution.pdf
Digital Transformation in PLM - WHAT and HOW - for distribution.pdfDigital Transformation in PLM - WHAT and HOW - for distribution.pdf
Digital Transformation in PLM - WHAT and HOW - for distribution.pdf
Jos Voskuil
 
Exploring Patterns of Connection with Social Dreaming
Exploring Patterns of Connection with Social DreamingExploring Patterns of Connection with Social Dreaming
Exploring Patterns of Connection with Social Dreaming
Nicola Wreford-Howard
 
Meas_Dylan_DMBS_PB1_2024-05XX_Revised.pdf
Meas_Dylan_DMBS_PB1_2024-05XX_Revised.pdfMeas_Dylan_DMBS_PB1_2024-05XX_Revised.pdf
Meas_Dylan_DMBS_PB1_2024-05XX_Revised.pdf
dylandmeas
 
Enterprise Excellence is Inclusive Excellence.pdf
Enterprise Excellence is Inclusive Excellence.pdfEnterprise Excellence is Inclusive Excellence.pdf
Enterprise Excellence is Inclusive Excellence.pdf
KaiNexus
 
FINAL PRESENTATION.pptx12143241324134134
FINAL PRESENTATION.pptx12143241324134134FINAL PRESENTATION.pptx12143241324134134
FINAL PRESENTATION.pptx12143241324134134
LR1709MUSIC
 
Putting the SPARK into Virtual Training.pptx
Putting the SPARK into Virtual Training.pptxPutting the SPARK into Virtual Training.pptx
Putting the SPARK into Virtual Training.pptx
Cynthia Clay
 
April 2024 Nostalgia Products Newsletter
April 2024 Nostalgia Products NewsletterApril 2024 Nostalgia Products Newsletter
April 2024 Nostalgia Products Newsletter
NathanBaughman3
 
What is the TDS Return Filing Due Date for FY 2024-25.pdf
What is the TDS Return Filing Due Date for FY 2024-25.pdfWhat is the TDS Return Filing Due Date for FY 2024-25.pdf
What is the TDS Return Filing Due Date for FY 2024-25.pdf
seoforlegalpillers
 
falcon-invoice-discounting-a-premier-platform-for-investors-in-india
falcon-invoice-discounting-a-premier-platform-for-investors-in-indiafalcon-invoice-discounting-a-premier-platform-for-investors-in-india
falcon-invoice-discounting-a-premier-platform-for-investors-in-india
Falcon Invoice Discounting
 
CADAVER AS OUR FIRST TEACHER anatomt in your.pptx
CADAVER AS OUR FIRST TEACHER anatomt in your.pptxCADAVER AS OUR FIRST TEACHER anatomt in your.pptx
CADAVER AS OUR FIRST TEACHER anatomt in your.pptx
fakeloginn69
 
Affordable Stationery Printing Services in Jaipur | Navpack n Print
Affordable Stationery Printing Services in Jaipur | Navpack n PrintAffordable Stationery Printing Services in Jaipur | Navpack n Print
Affordable Stationery Printing Services in Jaipur | Navpack n Print
Navpack & Print
 
Buy Verified PayPal Account | Buy Google 5 Star Reviews
Buy Verified PayPal Account | Buy Google 5 Star ReviewsBuy Verified PayPal Account | Buy Google 5 Star Reviews
Buy Verified PayPal Account | Buy Google 5 Star Reviews
usawebmarket
 
RMD24 | Debunking the non-endemic revenue myth Marvin Vacquier Droop | First ...
RMD24 | Debunking the non-endemic revenue myth Marvin Vacquier Droop | First ...RMD24 | Debunking the non-endemic revenue myth Marvin Vacquier Droop | First ...
RMD24 | Debunking the non-endemic revenue myth Marvin Vacquier Droop | First ...
BBPMedia1
 

Recently uploaded (20)

Business Valuation Principles for Entrepreneurs
Business Valuation Principles for EntrepreneursBusiness Valuation Principles for Entrepreneurs
Business Valuation Principles for Entrepreneurs
 
Unveiling the Secrets How Does Generative AI Work.pdf
Unveiling the Secrets How Does Generative AI Work.pdfUnveiling the Secrets How Does Generative AI Work.pdf
Unveiling the Secrets How Does Generative AI Work.pdf
 
The Parable of the Pipeline a book every new businessman or business student ...
The Parable of the Pipeline a book every new businessman or business student ...The Parable of the Pipeline a book every new businessman or business student ...
The Parable of the Pipeline a book every new businessman or business student ...
 
RMD24 | Retail media: hoe zet je dit in als je geen AH of Unilever bent? Heid...
RMD24 | Retail media: hoe zet je dit in als je geen AH of Unilever bent? Heid...RMD24 | Retail media: hoe zet je dit in als je geen AH of Unilever bent? Heid...
RMD24 | Retail media: hoe zet je dit in als je geen AH of Unilever bent? Heid...
 
Lookback Analysis
Lookback AnalysisLookback Analysis
Lookback Analysis
 
chapter 10 - excise tax of transfer and business taxation
chapter 10 - excise tax of transfer and business taxationchapter 10 - excise tax of transfer and business taxation
chapter 10 - excise tax of transfer and business taxation
 
Brand Analysis for an artist named Struan
Brand Analysis for an artist named StruanBrand Analysis for an artist named Struan
Brand Analysis for an artist named Struan
 
Digital Transformation in PLM - WHAT and HOW - for distribution.pdf
Digital Transformation in PLM - WHAT and HOW - for distribution.pdfDigital Transformation in PLM - WHAT and HOW - for distribution.pdf
Digital Transformation in PLM - WHAT and HOW - for distribution.pdf
 
Exploring Patterns of Connection with Social Dreaming
Exploring Patterns of Connection with Social DreamingExploring Patterns of Connection with Social Dreaming
Exploring Patterns of Connection with Social Dreaming
 
Meas_Dylan_DMBS_PB1_2024-05XX_Revised.pdf
Meas_Dylan_DMBS_PB1_2024-05XX_Revised.pdfMeas_Dylan_DMBS_PB1_2024-05XX_Revised.pdf
Meas_Dylan_DMBS_PB1_2024-05XX_Revised.pdf
 
Enterprise Excellence is Inclusive Excellence.pdf
Enterprise Excellence is Inclusive Excellence.pdfEnterprise Excellence is Inclusive Excellence.pdf
Enterprise Excellence is Inclusive Excellence.pdf
 
FINAL PRESENTATION.pptx12143241324134134
FINAL PRESENTATION.pptx12143241324134134FINAL PRESENTATION.pptx12143241324134134
FINAL PRESENTATION.pptx12143241324134134
 
Putting the SPARK into Virtual Training.pptx
Putting the SPARK into Virtual Training.pptxPutting the SPARK into Virtual Training.pptx
Putting the SPARK into Virtual Training.pptx
 
April 2024 Nostalgia Products Newsletter
April 2024 Nostalgia Products NewsletterApril 2024 Nostalgia Products Newsletter
April 2024 Nostalgia Products Newsletter
 
What is the TDS Return Filing Due Date for FY 2024-25.pdf
What is the TDS Return Filing Due Date for FY 2024-25.pdfWhat is the TDS Return Filing Due Date for FY 2024-25.pdf
What is the TDS Return Filing Due Date for FY 2024-25.pdf
 
falcon-invoice-discounting-a-premier-platform-for-investors-in-india
falcon-invoice-discounting-a-premier-platform-for-investors-in-indiafalcon-invoice-discounting-a-premier-platform-for-investors-in-india
falcon-invoice-discounting-a-premier-platform-for-investors-in-india
 
CADAVER AS OUR FIRST TEACHER anatomt in your.pptx
CADAVER AS OUR FIRST TEACHER anatomt in your.pptxCADAVER AS OUR FIRST TEACHER anatomt in your.pptx
CADAVER AS OUR FIRST TEACHER anatomt in your.pptx
 
Affordable Stationery Printing Services in Jaipur | Navpack n Print
Affordable Stationery Printing Services in Jaipur | Navpack n PrintAffordable Stationery Printing Services in Jaipur | Navpack n Print
Affordable Stationery Printing Services in Jaipur | Navpack n Print
 
Buy Verified PayPal Account | Buy Google 5 Star Reviews
Buy Verified PayPal Account | Buy Google 5 Star ReviewsBuy Verified PayPal Account | Buy Google 5 Star Reviews
Buy Verified PayPal Account | Buy Google 5 Star Reviews
 
RMD24 | Debunking the non-endemic revenue myth Marvin Vacquier Droop | First ...
RMD24 | Debunking the non-endemic revenue myth Marvin Vacquier Droop | First ...RMD24 | Debunking the non-endemic revenue myth Marvin Vacquier Droop | First ...
RMD24 | Debunking the non-endemic revenue myth Marvin Vacquier Droop | First ...
 

Portfolio Construction Today

  • 1. FOR INSTITUTIONAL INVESTOR USE ONLY Portfolio Construction Today Cliff Asness, Ph.D. November 2017 Managing and Founding Principal
  • 2. Summary Low expected returns on traditional assets is a major issue Yet the key questions have not changed: • What return sources do you believe in? • How do you combine them in a portfolio? Aggressive diversification across multiple return sources can help • Across established market risk premia • Across “newer” alternative risk factors Regardless of how good your portfolio is, sticking with it can be tough Source: AQR. Diversification does not eliminate the risk of experiencing investment losses. 2
  • 3. * Earnings data through 6/30/2017. Source: AQR, Robert Shiller’s Data Library (“U.S. Stock Markets 1987-Present and CAPE Ratio”), through June 30, 2017. The universe of stocks represented is the S&P 500. For illustrative purposes only. Please read important disclosures in the Appendix. 3 Shiller P/E for U.S. Equities, January 1900 – September 2017* 0 5 10 15 20 25 30 35 40 45 50 1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010 Cyclically-AdjustedPriceEarningsRatio 30.7
  • 4. * Earnings data through 6/30/2017. Source: AQR, Bloomberg, Robert Shiller’s Data Library (“U.S. Stock Markets 1987-Present and CAPE Ratio”). Data description: The real equity yield is an average of the Shiller earnings yield (using 10-year earnings) scaled by 1.075 (embedding an annual EPS growth of 1.5%) and dividend yield plus 1.5% (roughly the long-run real growth of dividends-per-share and earnings-per-share). The universe of stocks represented is the S&P 500. The real bond yield is the yield on long-term U.S. Treasury bonds minus long-term expected inflation based on Blue Chip Economic Indicators, Consensus Economics and the Federal Reserve Bank of Philadelphia. Before survey data became available in 1978, expected long-term inflation is based on statistical estimates and on 1-year ahead Livingston inflation forecasts. This is one set of estimates of ex-ante real yields for equities and bonds, but other reasonable specifications should tell broadly the same story. Please read important disclosures in the Appendix. 4 U.S. Equity and Bond Real Yields, January 1900 – September 2017* -5% 0% 5% 10% 15% 20% 1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010 U.S. Equity Real Yield U.S. 10Y Treasury Real Yield 0.1% 3.5%
  • 5. * Earnings data through 6/30/2017. Source: AQR, Bloomberg, Robert Shiller’s Data Library (“U.S. Stock Markets 1987-Present and CAPE Ratio”). Data description: The real equity yield is an average of the Shiller earnings yield (using 10-year earnings) scaled by 1.075 (embedding an annual EPS growth of 1.5%) and dividend yield plus 1.5% (roughly the long-run real growth of dividends-per-share and earnings-per-share). The universe of stocks represented is the S&P 500. The real bond yield is the yield on long-term U.S. Treasury bonds minus long-term expected inflation based on Blue Chip Economic Indicators, Consensus Economics and the Federal Reserve Bank of Philadelphia. Before survey data became available in 1978, expected long-term inflation is based on statistical estimates and on 1-year ahead Livingston inflation forecasts. This is one set of estimates of ex-ante real yields for equities and bonds, but other reasonable specifications should tell broadly the same story. Please read important disclosures in the Appendix. 5 U.S. Real Yield Spread, January 1900 – September 2017* -4% -2% 0% 2% 4% 6% 8% 10% 12% 14% 16% 18% 1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010 Real Yield Spread (Equities Minus Bonds) Average Real Yield Spread 3.3%
  • 6. * Earnings data through 6/30/2017. Source: AQR, Bloomberg, Robert Shiller’s Data Library (“U.S. Stock Markets 1987-Present and CAPE Ratio”), Ibbotson Associates (Morningstar), Kozicki-Tinsley (2006), Federal Reserve Bank of Philadelphia, Blue Chip Economic Indicators, Consensus Economics. U.S. 60/40 is 60% U.S. stocks represented by the Standard&Poor’s 500 Index and 40% long-dated Treasuries represented by 10-year Treasuries. The equity yield is a 50/50 mix of two measures: 50% Shiller E/P * 1.075 and 50% Dividend/Price + 1.5%. U.S. bond yield is 10-year real Treasury Yield over 10-year inflation forecast. Scalars are used to account for long term real Earnings Per Share (EPS) Growth. Past performance is not a guarantee of future performance. Please read important disclosures in the Appendix. 6 Real Yield of U.S. 60/40, January 1900 – September 2017* 0% 2% 4% 6% 8% 10% 12% 14% 1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010 U.S. 60/40 Real Yield 5% Real Return 2.1%
  • 7. Source: AQR. 7 What Is a Factor? Market Growth (Expensive) Value (Cheap)Value (Cheap) Value (Cheap) Growth (Expensive) Stocks Same Stocks, Just Sorted Value Tilt Value Premium Investing Style Factor LongShort
  • 8. Source: AQR. For illustrative purposes only. 8 Sources of Return Alpha Alternative Risk Factors Market Risk Premia
  • 9. Source: Harvey, C., Y. Liu and H. Zhu. 2015.”…and the Cross-Section of Expected Returns.” Chart above represents the increase in the number of factors that papers are being written about and the number of papers being written about factors. Includes only factors that published t-statistics or related statistics. Does not include factors that are researched but not published. 9 Choosing Your Animals from the “Factor Zoo”
  • 10. Source: AQR 10 What of “The Zoo” Survives Our Criteria? Momentum Value Carry Defensive Trend Volatility
  • 11. Source: AQR 11 Range of Implementation Choices Long-only Unlevered Equity dominated Single factor Single geography Single asset class Long/short Leveraged Diversified Multi-factor Global Multi-asset Constrained Unconstrained
  • 12. Value (B/P) Momentum Profitability Low Beta Measuring the Valuation of Factors in U.S. Large Cap Equities Sources: AQR, CRSP, Compustat, XpressFeed Global. December 1967–May 2017. For illustrative purposes only and not representative of a portfolio that AQR currently manages. The spreads are a combination of B/P and S/P spreads, and the universe is U.S. large cap stocks from CRSP/XpressFeed. The value factor is equivalent to that described in Fama and French (1992), except using up-to-date prices as described in Asness and Frazzini (2013); Momentum is the UMD factor; Gross-Profits-to-Assets, or Profitability, is the GPOA (Gross profits Over Assets) factor as described in Novy-Marx (2012); Low-Beta is the Betting-Against- Beta, or BAB, factor described in Frazzini and Pedersen (2014). Value, Momentum and Betting-Against-Beta factors are described in detail at the AQR Data Library, here: https://www.aqr.com/library/data-sets. For more detail on methodology used in the chart above, see the Appendix and Asness (2016), here: https://www.aqr.com/cliffs-perspective/my-factor-philippic. Hypothetical data has inherent limitations, some of which are disclosed in the Appendix. 12 Are the Main Factors Overcrowded and Overpriced?STDofValueSpread (BasedonB/PandS/PSpreads) -3 0 3 6 1968 1974 1980 1986 1992 1998 2004 2010 2016 -3 0 3 6 1968 1974 1980 1986 1992 1998 2004 2010 2016 -3 0 3 6 1968 1974 1980 1986 1992 1998 2004 2010 2016 -3 0 3 6 1968 1974 1980 1986 1992 1998 2004 2010 2016 0.11 (68th percentile) 0.06 (60th percentile) 0.30 (58th percentile) -1.26 (2nd percentile)
  • 13. 13 Fairly Priced Strategies Do Not Ensure Against Short-term Panic
  • 14. Be Realistic to Stick with a Plan Long-term No Silver Bullets High capacity, low Sharpe strategies are the long-term investor’s buddy Unconventionality is more painful when it’s not working! Doing more than you can stick with is near guaranteed failure Good ideas aren’t “all or nothing” 14
  • 16. Disclosures 16 The views expressed reflect the current views as of the date hereof and neither the speaker nor AQR undertakes to advise you of any changes in the views expressed herein. It should not be assumed that the speaker will make investment recommendations in the future that are consistent with the views expressed herein, or use any or all of the techniques or methods of analysis described herein in managing client accounts. The information contained herein is only as current as of the date indicated, and may be superseded by subsequent market events or for other reasons. Charts and graphs provided herein are for illustrative purposes only. Nothing contained herein constitutes investment, legal, tax or other advice nor is it to be relied on in making an investment or other decision. There can be no assurance that an investment strategy will be successful. Historic market trends are not reliable indicators of actual future market behavior or future performance of any particular investment which may differ materially, and should not be relied upon as such. The investment strategy and themes discussed herein may be unsuitable for investors depending on their specific investment objectives and financial situation. Please note that changes in the rate of exchange of a currency may affect the value, price or income of an investment adversely. Neither AQR nor the speaker assumes any duty to, nor undertakes to update forward looking statements. No representation or warranty, express or implied, is made or given by or on behalf of AQR, the speaker or any other person as to the accuracy and completeness or fairness of the information contained in this presentation, and no responsibility or liability is accepted for any such information. By accepting this presentation in its entirety, the recipient acknowledges its understanding and acceptance of the foregoing statement. AQR Capital Management (Europe) LLP, a U.K. limited liability partnership, is authorized by the U.K. Financial Conduct Authority (“FCA”) for advising on investments (except on Pension Transfers and Pension Opt Outs), arranging (bringing about) deals in investments, dealing in investments as agent, managing a UCITS, managing an unauthorized AIF and managing investments. This material has been approved to satisfy UK FCA COBS 4.
  • 17. Disclosures 17 This document has been provided to you solely for information purposes and does not constitute an offer or solicitation of an offer or any advice or recommendation to purchase any securities or other financial instruments and may not be construed as such. The factual information set forth herein has been obtained or derived from sources believed to be reliable but it is not necessarily all-inclusive and is not guaranteed as to its accuracy and is not to be regarded as a representation or warranty, express or implied, as to the information’s accuracy or completeness, nor should the attached information serve as the basis of any investment decision. This document is intended exclusively for the use of the person to whom it has been delivered and it is not to be reproduced or redistributed to any other person. PAST PERFORMANCE IS NOT A GUARANTEE OF FUTURE PERFORMANCE. There is no guarantee, express or implied, that long-term return and/or volatility targets will be achieved. Realized returns and/or volatility may come in higher or lower than expected. Diversification does not eliminate the risk of experiencing investment losses. Hypothetical performance results (e.g., quantitative backtests) have many inherent limitations, some of which, but not all, are described herein. No representation is being made that any fund or account will or is likely to achieve profits or losses similar to those shown herein. In fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently realized by any particular trading program. One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk in actual trading. For example, the ability to withstand losses or adhere to a particular trading program in spite of trading losses are material points which can adversely affect actual trading results. The hypothetical performance results contained herein represent the application of the quantitative models as currently in effect on the date first written above and there can be no assurance that the models will remain the same in the future or that an application of the current models in the future will produce similar results because the relevant market and economic conditions that prevailed during the hypothetical performance period will not necessarily recur. There are numerous other factors related to the markets in general or to the implementation of any specific trading program which cannot be fully accounted for in the preparation of hypothetical performance results, all of which can adversely affect actual trading results. Discounting factors may be applied to reduce suspected anomalies. This backtest’s return, for this period, may vary depending on the date it is run. Hypothetical performance results are presented for illustrative purposes only. In addition, our transaction cost assumptions utilized in backtests , where noted, are based on AQR's historical realized transaction costs and market data. Certain of the assumptions have been made for modeling purposes and are unlikely to be realized. 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. Changes in the assumptions may have a material impact on the hypothetical returns presented. Hypothetical performance is gross of advisory fees, net of transaction costs, and includes the reinvestment of dividends. If the expenses were reflected, the performance shown would be lower. Where noted, the hypothetical net performance data presented reflects the deduction of a model advisory fee and does not account for administrative expenses a fund or managed account may incur. Actual advisory fees for products offering this strategy may vary. (c) Morningstar 2017. All rights reserved. Use of this content requires expert knowledge. It is to be used by specialist institutions only. The information contained herein: (1) is proprietary to Morningstar and/or its content providers; (2) may not be copied, adapted or distributed; and (3) is not warranted to be accurate, complete or timely. Neither Morningstar nor its content providers are responsible for any damages or losses arising from any use of this information, except where such damages or losses cannot be limited or excluded by law in your jurisdiction. Past financial performance is no guarantee of future results. There is a risk of substantial loss associated with trading commodities, futures, options, derivatives and other financial instruments. Before trading, investors should carefully consider their financial position and risk tolerance to determine if the proposed trading style is appropriate. Investors should realize that when trading futures, commodities, options, derivatives and other financial instruments one could lose the full balance of their account. It is also possible to lose more than the initial deposit when trading derivatives or using leverage. All funds committed to such a trading strategy should be purely risk capital. Broad-based securities indices are unmanaged and are not subject to fees and expenses typically associated with managed accounts or investment funds. Investments cannot be made directly in an index. The S&P 500 Index is the Standard & Poor’s composite index of 500 stocks, a widely recognized, unmanaged index of common stock prices. The BofA Merrill Lynch U.S. T-Bill 0-3 Month Index tracks the performance of the U.S. dollar denominated U.S. Treasury Bills publicly issued in the U.S. domestic market with a remaining term to final maturity of less than 3 months. This presentation may not be copied, reproduced, republished, posted, transmitted, disclosed, distributed or disseminated, in whole or in part, in any way without the prior written consent of AQR Capital Management (Asia) Limited (together with its affiliates, “AQR”) or as required by applicable law. This presentation and the information contained herein are for educational and informational purposes only and do not constitute and should not be construed as an offering of advisory services or as an invitation, inducement or offer to sell or solicitation of an offer to buy any securities, related financial instruments or financial products in any jurisdiction. Investments described herein will involve significant risk factors which will be set out in the offering documents for such investments and are not described in this presentation. The information in this presentation is general only and you should refer to the final private information memorandum for complete information. To the extent of any conflict between this presentation and the private information memorandum, the private information memorandum shall prevail. The contents of this presentation have not been reviewed by any regulatory authority in Hong Kong. You are advised to exercise caution and if you are in any doubt about any of the contents of this presentation, you should obtain independent professional advice. Construction of Valuation Spreads The valuation factors follow the method of Fama and French (1993) except we use up-to-date price as studied by Asness and Frazzini (2013). The book-to-price (B/P) data comes from the AQR data library and sales-to-price (S/P) is calculated using the same data sources (CRSP, Compustat, XpressFeed Global). Data for the momentum factor and Betting-against-beta (BAB) factor come from the AQR data library. Data for all factors is for large cap U.S. stocks and are capitalization weighted long the 1/3 best stocks on the respective measure and short the 1/3 worst. Data are from January 1968 through January 2016. Additional information on sources and calculation methodologies are described on the website along with the data sets.