Insight Summit 2017: Intelligent Risk Taking
Portfolio construction today - Cliff Asness, Managing & Founding Principal, AQR Capital Management
Presented at the third annual Insight Summit conference held on 7 November 2017 by London Business School’s AQR Asset Management Institute.
Insight Summit 2017: Intelligent Risk Taking - Active vs passive investing
Is factor investing a bubble? - René M. Stulz, Everett D. Reese Chair of Banking and Monetary Economics, Ohio State University
Presented at the third annual Insight Summit conference held on 7 November 2017 by London Business School’s AQR Asset Management Institute.
Insight Summit 2017: Intelligent Risk Taking – Private Equity
Partners Capital View of the Future of Private Equity Investing
Stan Miranda, Founder and CEO, Partners Capital Investment Group
Presented at the third annual Insight Summit conference held on 7 November 2017 by London Business School’s AQR Asset Management Institute.
Insight Summit 2017: Intelligent Risk Taking - Active vs passive investing
Sharpening the Arithmetic of Active Management - Lasse Pedersen, Professor of Finance, Copenhagen Business School and NYU; and Principal, AQR Capital Management
Presented at the third annual Insight Summit conference held on 7 November 2017 by London Business School’s AQR Asset Management Institute.
Insight Summit 2017: Intelligent Risk Taking - Active vs passive investing
Active vs. passive – practitioner perspectives - Tim Hodgson, Head of the Thinking Ahead Institute, Willis Towers Watson
Presented at the third annual Insight Summit conference held on 7 November 2017 by London Business School’s AQR Asset Management Institute.
Netwealth portfolio construction series - Why you should consider investing o...netwealthInvest
Julian Beaumont from Bennelong Australian Equity Partners presented a webinar session on how to invest outside of the top 20 ASX stocks, for Netwealth on May 26, 2016.
Netwealth portfolio construction series: Economic Update with Roger MontgomerynetwealthInvest
Part of Netwealth's portfolio construction webinar series - Roger Montgomery, founder and Chief Investment Officer at Montgomery Investment Management presented to an audience on 22nd February 2017 and shared his views on major economic trends currently affecting local and global markets, stocks and sectors best placed for growth and what investors should look for in 2017.
Insight Summit 2017: Intelligent Risk Taking - Active vs passive investing
Is factor investing a bubble? - René M. Stulz, Everett D. Reese Chair of Banking and Monetary Economics, Ohio State University
Presented at the third annual Insight Summit conference held on 7 November 2017 by London Business School’s AQR Asset Management Institute.
Insight Summit 2017: Intelligent Risk Taking – Private Equity
Partners Capital View of the Future of Private Equity Investing
Stan Miranda, Founder and CEO, Partners Capital Investment Group
Presented at the third annual Insight Summit conference held on 7 November 2017 by London Business School’s AQR Asset Management Institute.
Insight Summit 2017: Intelligent Risk Taking - Active vs passive investing
Sharpening the Arithmetic of Active Management - Lasse Pedersen, Professor of Finance, Copenhagen Business School and NYU; and Principal, AQR Capital Management
Presented at the third annual Insight Summit conference held on 7 November 2017 by London Business School’s AQR Asset Management Institute.
Insight Summit 2017: Intelligent Risk Taking - Active vs passive investing
Active vs. passive – practitioner perspectives - Tim Hodgson, Head of the Thinking Ahead Institute, Willis Towers Watson
Presented at the third annual Insight Summit conference held on 7 November 2017 by London Business School’s AQR Asset Management Institute.
Netwealth portfolio construction series - Why you should consider investing o...netwealthInvest
Julian Beaumont from Bennelong Australian Equity Partners presented a webinar session on how to invest outside of the top 20 ASX stocks, for Netwealth on May 26, 2016.
Netwealth portfolio construction series: Economic Update with Roger MontgomerynetwealthInvest
Part of Netwealth's portfolio construction webinar series - Roger Montgomery, founder and Chief Investment Officer at Montgomery Investment Management presented to an audience on 22nd February 2017 and shared his views on major economic trends currently affecting local and global markets, stocks and sectors best placed for growth and what investors should look for in 2017.
Developing an Asset Allocation Strategy and the Military Familymilfamln
This webinar discusses asset allocation, diversification and strategies to implement an individualized investment plan https://learn.extension.org/events/1715
netwealth educational webinar - The evolution of asset allocationnetwealthInvest
On April 14, 2016 Tracey McNaughton, Head of Investment Strategy at UBS presented to financial advisers on the evolution of asset allocation during a netwealth educational webinar.
How do investors pick the winning asset class? What is the importance of asset allocation and how do you build an effective asset allocation strategy? Through this deck, find answers to the benefits of equity, debt and gold assets and how does one select mutual funds to fulfill long term goals.
www.Quantumamc.com
What are the fundamentals underlying the bull run in the equity markets and how do investors position their portfolio to reap returns and minimize downside risks? Find answers to what do investors expect from the future of the equity markets?
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On 1/26/2017, we hosted a webinar featuring Richard Lindsey, Managing Partner and Head of Liquid Alternative Strategies at Windham Capital Management. Rich discussed how to model portfolio returns, risk premia, and how to decompose portfolio risk.
On Tuesday, March 14th we hosted Andrew Weisman and Robert Bernstein for a conversation on controlling risk and trends they're seeing surrounding portfolio construction.
Strategies for positive returns in volatile marketsnetwealthInvest
Part of Netwealth's portfolio construction webinar series - ST Wong from Prime Value presented to an audience on 14th June 2016 on the topic of absolute investing.
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During our March webinar Steve Johnson, Chief Investment Officer at Forager Funds Management, shares his views on how to successfully invest in small and medium sized companies, including developing a winning investors mindset.
Systemic Risk in the Asset Management Industry - Michael Mendelson, Principal, AQR Capital Management
Presented at the AQR Asset Management Institute conference, Perspectives: Systemic Risk in Asset Management held on 26 April 2017 at London Business School.
Myths and Realities of ETFs and Index Investing - Ananth Madhavan, Managing Director, Global Head of Research for ETF and Index Investing, BlackRock
Presented at the AQR Asset Management Institute conference, Perspectives: Systemic Risk in Asset Management held on 26 April 2017 at London Business School.
10 Key principals of using evidence investing to improve your odds of success in reaching your goals. This includes embracing the market and using diversification.
The Cogent Advisor, and independent wealth manager in Chicago helping successful professionals simplify their complex financial lives and reach their goals. 312-382-8388. www.thecogentadvisor.com.
Developing an Asset Allocation Strategy and the Military Familymilfamln
This webinar discusses asset allocation, diversification and strategies to implement an individualized investment plan https://learn.extension.org/events/1715
netwealth educational webinar - The evolution of asset allocationnetwealthInvest
On April 14, 2016 Tracey McNaughton, Head of Investment Strategy at UBS presented to financial advisers on the evolution of asset allocation during a netwealth educational webinar.
How do investors pick the winning asset class? What is the importance of asset allocation and how do you build an effective asset allocation strategy? Through this deck, find answers to the benefits of equity, debt and gold assets and how does one select mutual funds to fulfill long term goals.
www.Quantumamc.com
What are the fundamentals underlying the bull run in the equity markets and how do investors position their portfolio to reap returns and minimize downside risks? Find answers to what do investors expect from the future of the equity markets?
www.Quantumamc.com
On 1/26/2017, we hosted a webinar featuring Richard Lindsey, Managing Partner and Head of Liquid Alternative Strategies at Windham Capital Management. Rich discussed how to model portfolio returns, risk premia, and how to decompose portfolio risk.
On Tuesday, March 14th we hosted Andrew Weisman and Robert Bernstein for a conversation on controlling risk and trends they're seeing surrounding portfolio construction.
Strategies for positive returns in volatile marketsnetwealthInvest
Part of Netwealth's portfolio construction webinar series - ST Wong from Prime Value presented to an audience on 14th June 2016 on the topic of absolute investing.
Netwealth portfolio construction series - Successful value investing in small...netwealthInvest
During our March webinar Steve Johnson, Chief Investment Officer at Forager Funds Management, shares his views on how to successfully invest in small and medium sized companies, including developing a winning investors mindset.
Systemic Risk in the Asset Management Industry - Michael Mendelson, Principal, AQR Capital Management
Presented at the AQR Asset Management Institute conference, Perspectives: Systemic Risk in Asset Management held on 26 April 2017 at London Business School.
Myths and Realities of ETFs and Index Investing - Ananth Madhavan, Managing Director, Global Head of Research for ETF and Index Investing, BlackRock
Presented at the AQR Asset Management Institute conference, Perspectives: Systemic Risk in Asset Management held on 26 April 2017 at London Business School.
10 Key principals of using evidence investing to improve your odds of success in reaching your goals. This includes embracing the market and using diversification.
The Cogent Advisor, and independent wealth manager in Chicago helping successful professionals simplify their complex financial lives and reach their goals. 312-382-8388. www.thecogentadvisor.com.
Scott Minerd, Chairman of Investments and Global CIO, analyzes global macroeconomic trends most likely to shape the investment environment in 10 charts.
The five steps in financial planning, forecasting internalexternal .pdfamrahlifestyle
The five steps in financial planning, forecasting internal/external finds is critical. With today\'s
economic and interest rate market conditions, along with the volitility of the captial markets,
what factors would you emphasize when you are preparing your forecasts?
Solution
Connect with Vanguard > vanguard.com Executive summary. Some say the long-run outlook for
U.S. stocks is poor (even “dead”) given the backdrop of muted economic growth, already-high
profit margins, elevated government debt levels, and low interest rates. Others take a rosier view,
citing attractive valuations and a wide spread between stock earnings yields and Treasury bond
yields as reason to anticipate U.S. stock returns of 8%–10% annually, close to the historical
average, over the next decade. Given such disparate views, which factors should investors
consider when formulating expectations for stock returns? And today, what do those factors
suggest is a reasonable range to expect for stock returns going forward? We expand on previous
Vanguard research in using U.S. stock returns since 1926 to assess the predictive power of more
than a dozen metrics that investors would know ahead of time. We find that many commonly
cited signals have had very weak and erratic correlations with actual subsequent returns, even at
long investment horizons. These poor Vanguard research October 2012 Forecasting stock
returns: What signals matter, and what do they say now? Authors Joseph Davis, Ph.D. Roger
Aliaga-Díaz, Ph.D. Charles J. Thomas, CFA 2 predictors include trailing values for dividend
yields and economic growth, the difference between the stock market’s earnings yield and
Treasury bond yields (the so-called Fed Model), profit margins, and past stock returns. We
confirm that valuation metrics such as price/earnings ratios, or P/Es, have had an inverse or
mean-reverting relationship with future stock market returns, although it has only been
meaningful at long horizons and, even then, P/E ratios have “explained” only about 40% of the
time variation in net-of-inflation returns. Our results are similar whether or not trailing earnings
are smoothed or cyclically adjusted (as is done in Robert Shiller’s popular P/E10 ratio). The
current level of a blend of valuation metrics contributes to Vanguard’s generally positive outlook
for the stock market over the next ten years (2012–2022). But the fact that even P/Es—the
strongest of the indicators we examined—leave a large portion of returns unexplained
underscores our belief that expected stock returns are best stated in a probabilistic framework,
not as a “point forecast,” and should not be forecast over short horizons. The variation of
expected returns Forming reasonable long-run return expectations for stocks and other asset
classes can be important in devising a strategic asset allocation. But what precisely are
“reasonable” expectations in the current environment, and how should they be formed? For
instance, should investors expect t.
2020 Investment Outlook: Risks and Opportunities for Investors in Global MarketsMaxine Elliott
In this presentation, Philip Lawlor, managing director, global markets research at FTSE Russell, shares his analysis of global equity and bond markets, reviews current market drivers and explores what’s priced in and what could surprise in 2020.
Includes:
• An explanation of 2019’s rally in risk appetite given the slowdown in global growth expectations
• What is priced into markets as we enter the New Year
• Credibility that can be attached to 2020 consensus earnings growth forecasts
Laurentian Bank Securities - Economic Research and Strategy Mark MacIsaac
LBS Asset Allocation Model – September Update:
Global economic data remained robust in August and continue to point to solid, broad-based and synchronized economic expansion. Financial conditions also remain easy and still provide a supportive environment for economic growth.
Kuwait Petroleum Corporation: Transforming leadership for 2030 and beyondLondon Business School
This case study explores the custom programme developed by London Business School for the Kuwait Petroleum Corporation in conjunction with the National Technology Enterprises Company Kuwait. The study examines the scale and accomplishments of the programme, as well as the unique tripartite collaboration between the three key stakeholders that delivered its success.
Together, Microsoft and London Business School created The Public Sector Course: a customised programme, tailoring a Massive Open Online Course (MOOC) model for Microsoft’s public sellers specifically. The programme aims to empower participants to build trust and credibility with customers.
Learn more about our customised programmes: https://www.london.edu/programmes/executive-education/topic/executive-education-for-organisations/custom-programmes
Insight Summit 2017: Intelligent Risk Taking - Active vs passive investing
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Presented at the third annual Insight Summit conference held on 7 November 2017 by London Business School’s AQR Asset Management Institute.
Insight Summit 2017: Intelligent Risk Taking - Active vs passive investing
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Presented at the third annual Insight Summit conference held on 7 November 2017 by London Business School’s AQR Asset Management Institute.
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Find out how Smurfit Kappa partnered with London Business School to design two precisely calibrated learning journeys that transformed participants from two distinct strands of leadership.
Presented at the AQR Asset Management Institute conference, Perspectives: Systemic Risk in Asset Management held on 26 April 2017 at London Business School.
Together with London Business School (LBS), Nordea created the Strategic Leadership Programme to empower its next-generation leaders to: think strategically about the future and about customers; align functions and strategies to the overarching Nordea Future Relationship Bank Strategy; and build trust across the whole business.
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Want to get the best possible terms from a prospective employer without it affecting you being hired? Learn how from Associate Professor of Organisational Gillian Ku.
Emeritus Professor of Management and Marketing at London Business School Patrick Barwise and marketing leadership expert Thomas Barta explain how marketers can help change perceptions and increase business impact.
Their book, THE 12 POWERS OF A MARKETING LEADER, is out now.
Business Valuation Principles for EntrepreneursBen Wann
This insightful presentation is designed to equip entrepreneurs with the essential knowledge and tools needed to accurately value their businesses. Understanding business valuation is crucial for making informed decisions, whether you're seeking investment, planning to sell, or simply want to gauge your company's worth.
Unveiling the Secrets How Does Generative AI Work.pdfSam H
At its core, generative artificial intelligence relies on the concept of generative models, which serve as engines that churn out entirely new data resembling their training data. It is like a sculptor who has studied so many forms found in nature and then uses this knowledge to create sculptures from his imagination that have never been seen before anywhere else. If taken to cyberspace, gans work almost the same way.
RMD24 | Retail media: hoe zet je dit in als je geen AH of Unilever bent? Heid...BBPMedia1
Grote partijen zijn al een tijdje onderweg met retail media. Ondertussen worden in dit domein ook de kansen zichtbaar voor andere spelers in de markt. Maar met die kansen ontstaan ook vragen: Zelf retail media worden of erop adverteren? In welke fase van de funnel past het en hoe integreer je het in een mediaplan? Wat is nu precies het verschil met marketplaces en Programmatic ads? In dit half uur beslechten we de dilemma's en krijg je antwoorden op wanneer het voor jou tijd is om de volgende stap te zetten.
Explore our most comprehensive guide on lookback analysis at SafePaaS, covering access governance and how it can transform modern ERP audits. Browse now!
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Enterprise Excellence is Inclusive Excellence.pdfKaiNexus
Enterprise excellence and inclusive excellence are closely linked, and real-world challenges have shown that both are essential to the success of any organization. To achieve enterprise excellence, organizations must focus on improving their operations and processes while creating an inclusive environment that engages everyone. In this interactive session, the facilitator will highlight commonly established business practices and how they limit our ability to engage everyone every day. More importantly, though, participants will likely gain increased awareness of what we can do differently to maximize enterprise excellence through deliberate inclusion.
What is Enterprise Excellence?
Enterprise Excellence is a holistic approach that's aimed at achieving world-class performance across all aspects of the organization.
What might I learn?
A way to engage all in creating Inclusive Excellence. Lessons from the US military and their parallels to the story of Harry Potter. How belt systems and CI teams can destroy inclusive practices. How leadership language invites people to the party. There are three things leaders can do to engage everyone every day: maximizing psychological safety to create environments where folks learn, contribute, and challenge the status quo.
Who might benefit? Anyone and everyone leading folks from the shop floor to top floor.
Dr. William Harvey is a seasoned Operations Leader with extensive experience in chemical processing, manufacturing, and operations management. At Michelman, he currently oversees multiple sites, leading teams in strategic planning and coaching/practicing continuous improvement. William is set to start his eighth year of teaching at the University of Cincinnati where he teaches marketing, finance, and management. William holds various certifications in change management, quality, leadership, operational excellence, team building, and DiSC, among others.
Putting the SPARK into Virtual Training.pptxCynthia Clay
This 60-minute webinar, sponsored by Adobe, was delivered for the Training Mag Network. It explored the five elements of SPARK: Storytelling, Purpose, Action, Relationships, and Kudos. Knowing how to tell a well-structured story is key to building long-term memory. Stating a clear purpose that doesn't take away from the discovery learning process is critical. Ensuring that people move from theory to practical application is imperative. Creating strong social learning is the key to commitment and engagement. Validating and affirming participants' comments is the way to create a positive learning environment.
What is the TDS Return Filing Due Date for FY 2024-25.pdfseoforlegalpillers
It is crucial for the taxpayers to understand about the TDS Return Filing Due Date, so that they can fulfill your TDS obligations efficiently. Taxpayers can avoid penalties by sticking to the deadlines and by accurate filing of TDS. Timely filing of TDS will make sure about the availability of tax credits. You can also seek the professional guidance of experts like Legal Pillers for timely filing of the TDS Return.
Falcon stands out as a top-tier P2P Invoice Discounting platform in India, bridging esteemed blue-chip companies and eager investors. Our goal is to transform the investment landscape in India by establishing a comprehensive destination for borrowers and investors with diverse profiles and needs, all while minimizing risk. What sets Falcon apart is the elimination of intermediaries such as commercial banks and depository institutions, allowing investors to enjoy higher yields.
Affordable Stationery Printing Services in Jaipur | Navpack n PrintNavpack & Print
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RMD24 | Debunking the non-endemic revenue myth Marvin Vacquier Droop | First ...BBPMedia1
Marvin neemt je in deze presentatie mee in de voordelen van non-endemic advertising op retail media netwerken. Hij brengt ook de uitdagingen in beeld die de markt op dit moment heeft op het gebied van retail media voor niet-leveranciers.
Retail media wordt gezien als het nieuwe advertising-medium en ook mediabureaus richten massaal retail media-afdelingen op. Merken die niet in de betreffende winkel liggen staan ook nog niet in de rij om op de retail media netwerken te adverteren. Marvin belicht de uitdagingen die er zijn om echt aansluiting te vinden op die markt van non-endemic advertising.
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)
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.