Quantitative Investing Integrating the Human Perspective

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Quantitative Investing Integrating the Human Perspective Speaker: Vladimir de Vassal, CFA, Director of Quantitative Research Portfolio Manager, Quantitative Equities Glenmede Investment Management, L.P.

Market Indexes can be Subject to Irrational Exuberance S&P Information Technology S&P Financials MSCI JAPAN S&P Financials & Information Technology (12/94=100), MSCI Japan (12/84=100) 1200 1000 800 600 400 200 Japanese "Bubble" Internet "Bubble" Financial "Bubble"??? 0 85 87 89 91 93 95 97 99 01 03 05 07 09 11 13 15 17 Year Sources: Glenmede Investment Management and FactSet Data as of 12/31/2017. This represents past performance which is not indicative of future results.

Index Sector Weightings Are Volatile 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 Share of S&P 500 Market Capitalization 2016 2017 Financials Consumer Energy Other Technology Source: FactSet (Based on year end weights) Data as of 12/31/2017. This represents past performance which is not indicative of future results.

Index Funds Favor Stocks with the Largest Market Capitalizations December 1980 December 1999 1. IBM Technology 1. Microsoft Technology 2.AT&T Communication 2.GE Capital Goods 3. Exxon Energy 3. Cisco Technology 4. Amoco Energy 4. Wal-Mart Cons. Cyclicals 5. Schlumberger Energy 5. Intel Technology 6.Shell Oil Energy 6.AT&T Communication 7. Mobil Energy 7. Lucent Technology 8. Chevron Energy 8. IBM Technology 9.ARCO Energy 9.Exxon Mobil Energy 10.GE Capital Goods 10.AOL Technology December 2006 December 2016 1.Exxon Mobil Energy 1.Apple Technology 2.GE Capital Goods 2.Microsoft Technology 3. Citigroup Financials 3. Google Technology 4.Microsoft Technology 4.Exxon Mobil Energy 5.B of A Financials 5.J&J Health Care 6.P&G Staples 6.Berkshire H. Financials 7.J&J Health Care 7.JPMorgan Financials 8.Pfizer Health Care 8.Amazon Cons. Disc. 9.AIG Financials 9.GE Capital Goods 10. Altria Staples 10. FB Technology Source: FactSet (Based on year end weights) This represents past performance which is not indicative of future results. Securities mentioned are for informational purposes only and do not represent a recommendation or an offer to buy, hold or sell any securities, or all of the securities held in client portfolios. These specific time frames are used to illustrate discrete periods in time where there has been irrational market behavior.

Top Five Companies in the Russell 1000 Growth Index In December 2017, the five largest companies represented over 23% of Russell 1000 Growth Index. Historically, when the largest companies exceeded 20% weight in the index, they underperformed. Percentage Weight of Index (%) 35 30 25 20 15 10 5 5 Largest Cos. in Russell 1000 Growth Index 5/01 29.1 5/12 20.8 12/17 23.6 0 93 95 97 99 01 03 05 07 09 11 13 15 17 Relative Performance to Russell 1000 Growth Index Top Five Weight Post One-Year Return Average Negative Frequency Post Three-Year Return Average Negative Frequency >20% -5.6% 72.9% -12.8% 78.6% 15% to 20% 2.5% 43.7% 2.3% 52.6% <15% 2.7% 32.1% 9.1% 15.4% All Periods 0.4% 48.8% -0.2% 52.1% Sources: Glenmede Investment Management and FactSet The Russell 1000 Growth Index is an unmanaged, market value weighted index, which measures performance of the largest 1,000 companies in the market. Returns include the reinvestment of dividends and other income. One cannot invest directly in an index.

Average Stock vs. Cap-Weighted Index 2500% S&P Average Stock S&P 500 Index (Cap-Weighted) S&P 500 Average Stock versus Cap-Weighted Index December 31, 1989 Through December 31, 2017 Cumulative Performance 2000% 1500% 1000% 500% 0% 1912% 1270% -500% 89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 Historical 12-Month Returns S&P Average Stock S&P 500 Index Spread Average Annualized Return 11.3% 9.8% 1.5% Standard Deviation 15.9% 14.2% 1.7% Avg Return/St Dev 0.71 0.69 0.02 Negative Return Frequency 16.9% 17.2% -0.3% Average Negative Return -13.5% -16.7% 3.2% Upside Capture 109.4% 100.0% 9.4% Downside Capture 103.9% 100.0% 3.9% Sources: Glenmede Investment Management and FactSet Data as of 12/31/2017. This represents past performance which is not indicative of future results.

Excessive Indexing Can Lead to Inefficient Stock Prices 0.8 S&P 500 - Average Intrastock Correlation, Rolling 3-Month Returns (Daily) 0.7 0.6 Correlation 0.5 0.4 0.3 0.2 0.1 0.09 0 90 92 94 96 98 00 02 04 06 08 10 12 14 16 Sources: Glenmede Investment Management and FactSet Data as of 12/31/2017. This represents past performance which is not indicative of future results.

Intuitive, Fundamentally-Based Factors Have Outperformed Top Quintile Performance** (Annualized % Return) 20 18 16 14 12 10 8 6 4 2 0 15.2 14.4 Factor Average Stock* (+9.8%) S&P 500 Index (+7.2%) 13.8 13.5 12.9 12.6 12.8 12.5 12.0 12.0 11.8 11.7 11.7 11.5 11.3 11.2 11.1 10.5 Sources: Glenmede Investment Research, MATLAB and FactSet *Average Stock and top quintile factor returns based on constituents of Russell 1000 Index, rebalanced monthly **Top quintile performances for each factor are based on the average return of stocks ranked by Glenmede Investment Management Quantitative team of each sector. This represents past performance which is not indicative of future results.

Multi-Factor Model Outperforms Average Stock in Most Years 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 Highest Momentum Momentum P/E P/E Multifactor P/E P/E Multifactor P/E EPS Est 27.5% 67.4% 25.8% 30.5% -1.4% 50.7% 29.6% 22.5% 16.2% 24.5% Russell 1000 EPS Est Multifactor ROE ROE EPS Est Multifactor EPS Est EPS Est Multifactor 27.0% 46.2% 11.1% 3.7% -7.7% 48.5% 24.2% 21.2% 15.7% 15.2% Multifactor ROE ROE Avg Stock Momentum Avg Stock ROE Momentum Russell 1000 Momentum 20.9% 23.0% 9.9% 0.6% -8.9% 43.9% 22.6% 18.3% 15.5% 14.4% ROE Multifactor Avg Stock Multifactor P/E Momentum EPS Est ROE Avg Stock ROE 17.7% 21.4% 1.4% -0.8% -10.9% 40.5% 20.4% 14.9% 15.1% 13.5% EPS Est Russell 1000 EPS Est Momentum EPS Est Multifactor Avg Stock P/E ROE Russell 1000 15.0% 20.9% -7.0% -11.5% -19.3% 39.9% 18.5% 14.7% 14.1% 5.8% Avg Stock Avg Stock Russell 1000 Russell 1000 Avg Stock ROE Momentum Avg Stock Multifactor Avg Stock 9.4% 20.1% -7.8% -12.4% -20.3% 36.1% 16.2% 9.8% 12.8% 2.7% P/E P/E Momentum EPS Est Russell 1000 Russell 1000 Russell 1000 Russell 1000 Momentum P/E Lowest 0.6% 3.2% -13.0% -19.7% -21.7% 29.9% 11.4% 6.3% 6.7% -5.0% 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 1998-2017 Highest Russell 1000 P/E EPS Est Russell 1000 P/E P/E Russell 1000 Multifactor P/E ROE Multifactor -37.6% 78.7% 29.3% 1.5% 21.5% 50.6% 13.2% 2.0% 20.2% 25.0% 12.3% Avg Stock Avg Stock Momentum ROE Momentum Multifactor ROE Russell 1000 Avg Stock Multifactor P/E -41.7% 55.9% 27.6% -0.1% 19.4% 45.0% 11.5% 0.9% 16.1% 24.8% 12.2% ROE ROE Multifactor Multifactor ROE Momentum Multifactor Momentum ROE Russell 1000 ROE -43.9% 51.1% 26.1% -0.9% 19.1% 43.3% 11.3% 0.7% 12.1% 21.7% 12.1% EPS Est EPS Est Avg Stock EPS Est EPS Est ROE Avg Stock EPS Est Russell 1000 Momentum EPS Est -45.3% 42.1% 24.9% -1.2% 18.9% 40.7% 11.1% -1.4% 12.1% 21.1% 10.6% Multifactor Russell 1000 P/E Avg Stock Multifactor EPS Est EPS Est ROE EPS Est EPS Est Momentum -45.4% 28.4% 21.3% -1.9% 18.9% 38.6% 11.0% -2.8% 10.0% 20.8% 9.9% Momentum Multifactor ROE Momentum Avg Stock Avg Stock P/E Avg Stock Multifactor Avg Stock Avg Stock -45.8% 27.2% 21.0% -3.5% 18.2% 36.9% 10.6% -3.7% 7.8% 19.0% 9.6% P/E Momentum Russell 1000 P/E Russell 1000 Russell 1000 Momentum P/E Momentum P/E Russell 1000 Lowest -50.8% 17.5% 16.1% -6.5% 16.4% 33.1% 6.8% -6.0% 6.2% 17.1% 7.4% Top Quintile returns are based on equally-weighted total returns of most attractively ranked stocks (top 20%) for each factor every year. Sources: Glenmede Investment Research, FactSet and MATLAB (Russell 1000 Universe, monthly rebalancing with no transaction costs) This represents past performance which is not indicative of future results.

Summary Irrational market behavior poses risks for investors Active management that combines quantitative discipline with fundamental insights may efficiently improve risk return Portfolio manager has the opportunity to prudently construct a portfolio as opposed to holding securities due to their inclusion or weighting in an index