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Monthly Model Performance Report July 2020

Research Signals Model Performance Report

Table of Contents

Monthly Recap 2

US Large Cap Models 3

US Small Cap Models 4

Canada Models 5

Japan Models 6

Australia - New Zealand Models 7

Developed Europe Models 8

Developed Pacific Models 9

Developed World Ex-North America (EAFE) Models 10

Emerging Markets Models 11

Frontier Markets Models 12

Specialty Models 13

Appendix 14

1


US:

Developed Europe:

Developed Pacific:

Emerging Markets:

Sector Rotation:

Specialty Models:

Value Momentum

-4.920

Australia-New Zealand 250 -0.930 4.430 7.630 0.540

Japan 2000 -0.250 2.820 1.440 -1.300

-1.880

Developed Pacific -2.010 9.520 0.660 -2.550 -5.560

-6.600

Emerging Markets -1.340 4.200 1.630 -2.620

-7.410 -4.230

Canada 500 -4.720 4.610

Developed World ex North America -7.290 4.540 -0.760

8.240 -8.130

Monthly Performance Recap

IHS Markit Model Matrix

Deep Value Earnings Momentum Price Momentum Relative Value

Within the Emerging Markets universe our Earnings Momentum model had the strongest one month decile return spread

performance, returning 4.20%, while the Deep Value model lagged. The Earnings Momentum model's one year cumulative

performance is the highest for the EM universe at 15.30%.

Within our specialty model library the REIT 2 and the Retail models had the strongest one month quintile return spread

performance returning 4.43% and 3.51%, respectively, while the Technology and the Oil and Gas models struggled. The

Insurance model's one year cumulative performance is the highest at 33.35% while the Technology model's performance is the

lowest at -15.78%.

Over the Developed Pacific universe, the Earnings Momentum model had the strongest one month decile return spread

performance, returning 9.52%, while the Value Momentum model lagged. The Earnings Momentum model's one year

cumulative performance is currently 14.80%.

Within the Developed Europe universe our Price Momentum model was the top performer on a one month decile return spread

basis, returning 6.24%, while the Deep Value model trailed.

Within the US Large Cap universe the Earnings Momentum model had the strongest one month decile return spread

performance, returning 7.56%, while the Deep Value model lagged. Over the US Small Cap universe our GARP model had the

strongest one month decile return spread performance, returning 6.58%, while the Deep Value model lagged. The performance

of the GARP model was driven by the performance of the short portfolio.

The US Large Cap Sector Rotation model returned 3.10%.The Tech sector had a favorable ranking and the Industrials sector

had an unfavorable ranking.The US Small Cap Sector Rotation model returned 0.10%. The Tech sector had a favorable ranking

and the Telecom sector had an unfavorable ranking.The Developed Europe Sector Rotation model returned 3.60%. The

Healthcare sector had a favorable ranking and the Telecom sector had a unfavorable ranking.

0.780 -1.210

US Small Cap -4.050 4.450 1.410 5.620

-0.370

#N/A

US Large Cap -3.760 7.560 3.200

-2.150

Frontier Markets -2.820 1.190 -4.400 0.590 -0.290

Europe 1000 -7.750 4.100 6.240

5.610

2


US Large Cap(1)

1mo 3mo 12mo 1mo 3mo 12mo 1mo 3mo 12mo 1mo 3mo 12mo

Deep Value -3.76 -13.46 -23.04 -1.63 -4.08 -5.81 2.13 9.37 17.23 -0.07 -0.07 -0.03

Earnings Momentum 7.56 10.82 0.79 1.41 0.03 -5.21 -6.15 -10.79 -6.00 0.25 0.09 0.01

GARP 1.88 -4.17 0.57 0.71 0.19 4.46 -1.17 4.37 3.89 0.15 0.05 0.03

Historical Growth 6.68 9.06 33.14 2.74 5.55 22.30 -3.94 -3.51 -10.84 0.25 0.14 0.08

Price Momentum 3.20 4.74 -4.44 0.97 4.27 -0.99 -2.23 -0.47 3.45 0.07 0.04 -0.01

Relative Value 0.78 -5.26 -15.06 -0.03 -2.66 -8.87 -0.81 2.60 6.19 0.05 -0.02 -0.01

Value Momentum 2 0.19 -3.16 -13.98 -1.00 -3.35 -12.01 -1.19 -0.19 1.97 0.02 -0.01 -0.02

Value Momentum -1.21 -0.53 -5.04 -0.59 -2.37 -8.58 0.62 -1.84 -3.54 0.03 0.02 0.00

Sector Rotation 3.10 6.50 31.50 0.90 1.60 19.20 -2.20 -5.00 -12.20 - - -

Equal Weighted US Large Cap Universe 1-Month Return = 4.5%

Long/Short Return Performance

1 Year Cumulative Spread Returns (1-Month Holding Period)

Within the US Large Cap universe the Earnings Momentum model had the strongest one month decile

return spread performance, returning 7.56%, while the Deep Value model lagged.

The US Large Cap Sector Rotation model returned 3.10%.The Tech sector had a favorable ranking and the

Industrials sector had an unfavorable ranking.

Model (2)

Decile Return Spread (3)

D1 Excess Return (3)


Information Coefficient (3)

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Growth

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Momentum

Relative

Value

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Jul-19 Aug-19 Sep-19 Oct-19 Nov-19 Dec-19 Jan-20 Feb-20 Mar-20 Apr-20 May-20 Jun-20 Jul-20

Deep Value Value Momentum Analyst Relative Value

Historical Growth GARP Earnings Momentum

Value Momentum Analyst 2 Price Momentum Sector Rotation

(1) Universe construction methodology in Appendix 1.1

(2) Model descriptions available in Appendix 1.2

(3) Performance metrics calculations available in Appendix 1.33


US Small Cap(1)


Deep Value -4.05 -21.44 -42.82 -1.98 -8.74 -15.87 2.07 12.70 26.95 -0.01 -0.08 -0.03

Earnings Momentum 4.45 14.56 13.67 1.29 7.78 8.53 -3.17 -6.79 -5.14 0.12 0.09 0.02

GARP 6.58 -1.81 -13.36 2.10 0.18 -1.41 -4.48 1.99 11.95 0.13 0.02 0.01

Historical Growth 4.59 7.64 19.81 2.64 3.80 6.35 -1.95 -3.83 -13.46 0.10 0.06 0.03

Price Momentum 1.41 6.61 -0.61 -0.13 2.16 -2.32 -1.54 -4.45 -1.72 0.08 0.04 0.00

Relative Value 5.62 -8.88 -22.58 -0.30 -3.66 -5.43 -5.93 5.22 17.15 0.10 -0.01 0.00

Value Momentum 2 5.23 -1.49 -11.89 2.89 -0.08 -3.64 -2.34 1.41 8.25 0.11 0.02 0.00

Small Cap 2.65 -4.63 -14.40 2.06 -1.07 -4.39 -0.60 3.56 10.01 0.06 0.00 0.00

Sector Rotation 0.10 7.80 22.00 0.40 6.50 12.20 0.30 -1.30 -9.80 - - -

Equal Weighted US Small Cap Universe 1-Month Return = 0.7%



Over the US Small Cap universe our GARP model had the strongest one month decile return spread

performance, returning 6.58%, while the Deep Value model lagged. The performance of the GARP model was

driven by the performance of the short portfolio.

The US Small Cap Sector Rotation model returned 0.10%. The Tech sector had a favorable ranking and the

Telecom sector had an unfavorable ranking.





Model (2)

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Small Cap Sector

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Earnings Momentum Price Momentum Relative Value

Historical Growth GARP Value Momentum Analyst 2

Deep Value Value Momentum Analyst QSG Small Cap

Sector Rotation





Canada 500(1)


Deep Value -4.72 -8.23 -6.94 -0.06 -2.55 -3.92 4.66 5.68 3.01 -0.05 -0.02 0.02


Price Momentum 8.24 16.03 50.19 3.79 10.24 27.04 -4.45 -5.80 -23.15 0.28 0.16 0.13

Relative Value -8.13 -16.92 -5.07 -2.17 -3.81 2.86 5.96 13.11 7.93 -0.05 -0.06 0.01

Value Momentum -4.92 -4.73 10.07 -0.47 1.85 5.28 4.45 6.58 -4.79 -0.02 -0.02 0.05

Equal Weighted Canada 500 Universe 1-Month Return = 7.74%



Over the Canadian universe our Price Momentum model had the strongest one month decile return spread

performance, returning 8.24%, while the Relative Value model lagged. The 50-200 Day Stock Price Ratio

factor within the Price Momentum model had a one month decile return spread of 11.64% and was the largest

contributor to the model's performance in July.





Model (2)

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Japan 2000(1)


Deep Value -0.25 -7.34 -5.42 -1.78 -3.42 -4.79 -1.53 3.92 0.62 -0.04 -0.07 0.01


Price Momentum 1.44 2.39 2.30 1.19 2.43 0.58 -0.25 0.04 -1.72 0.06 0.03 0.01

Relative Value -1.30 -10.46 -11.79 -1.62 -3.63 -3.77 -0.32 6.83 8.01 -0.06 -0.08 -0.01

Value Momentum -0.37 -8.41 -5.94 -1.85 -4.22 -4.42 -1.48 4.19 1.52 -0.03 -0.08 0.00

Equal Weighted Japan 2000 Universe 1-Month Return = -5.69%







Within the Japan universe our Earnings Momentum model had the strongest one month decile return spread

performance returning 2.82%, while Relative Value lagged.

The Relative Value model was the most improved during the month on a one month decile spread basis

improving by 1.36% over its performance in June.

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Deep Value Earnings Momentum Price Momentum Relative Value Value Momentum





Developed Europe(1)


Deep Value -7.75 -8.18 -25.28 -4.23 -2.41 -9.79 3.53 5.78 15.49 -0.22 -0.07 -0.05

Earnings Momentum 4.10 5.53 -3.68 2.05 2.82 -3.87 -2.05 -2.71 -0.18 0.15 0.06 0.00

Price Momentum 6.24 9.32 20.25 3.49 3.92 10.55 -2.75 -5.41 -9.69 0.26 0.10 0.04

Relative Value -6.60 -5.16 -12.98 -3.35 -1.33 -2.52 3.25 3.84 10.46 -0.21 -0.05 -0.04

Value Momentum -2.15 -2.24 -11.28 -1.69 -2.00 -6.07 0.46 0.25 5.21 -0.06 -0.03 -0.03

Sector Rotation 3.60 2.50 18.00 0.90 -0.40 8.60 -2.70 -2.90 -9.40 - - -

Equal Weighted Europe 1000 Universe 1-Month Return = -0.69%



Within the Developed Europe universe our Price Momentum model was the top performer on a one month

decile return spread basis, returning 6.24%, while the Deep Value model trailed.

The Developed Europe Sector Rotation model returned 3.60%. The Healthcare sector had a favorable ranking

and the Telecom sector had a unfavorable ranking.





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Deep Value Earnings Momentum Price Momentum

Relative Value Value Momentum Sector Rotation





Australia-New Zealand 250(1)


Deep Value -0.93 -4.51 -14.65 -0.71 -1.78 -5.07 0.21 2.73 9.58 -0.11 -0.07 -0.06


Price Momentum 7.63 18.58 12.98 3.90 8.88 8.05 -3.72 -9.70 -4.93 0.34 0.22 0.03

Relative Value 0.54 -2.98 -9.58 0.40 -0.82 -2.87 -0.14 2.16 6.71 -0.02 -0.03 -0.03

Value Momentum 5.61 13.56 -1.54 2.31 4.81 -3.18 -3.30 -8.75 -1.64 0.23 0.16 0.02

Equal Weighted Australia New Zealand 250 Universe 1-Month Return = 0.9%



The Price Momentum model had the strongest one month decile return spread performance within the

Australia-New Zealand universe returning 7.63%.

The Liquidity and Leverage Rank factor within the Price Momentum model had a one month decile return

spread of 8.01% and was the largest contributor to the model's performance in July.

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Relative Value Value Momentum





Developed Pacific(1)


Deep Value -2.01 -11.31 -17.58 -0.38 -3.22 -5.18 1.63 8.09 12.41 -0.10 -0.10 -0.04


Price Momentum 0.66 6.63 6.27 2.19 4.28 0.38 1.53 -2.35 -5.90 0.04 0.07 0.04

Relative Value -2.55 -13.22 -19.92 0.08 -1.99 -2.82 2.63 11.23 17.10 -0.12 -0.11 -0.04

Value Momentum -5.56 -15.83 -21.91 -2.73 -5.55 -7.15 2.83 10.28 14.76 -0.20 -0.14 -0.05

Equal Weighted Developed Pacific Universe 1-Month Return = -0.32%



Over the Developed Pacific universe, the Earnings Momentum model had the strongest one month decile

return spread performance, returning 9.52%, while the Value Momentum model lagged.

The Earnings Momentum model's one year cumulative performance is currently 14.80%.





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Developed World Ex North America (EAFE)(1)


Deep Value -7.29 -10.94 -27.94 -2.08 -3.15 -11.00 5.22 7.79 16.95 -0.20 -0.11 -0.06

Earnings Momentum 4.54 4.76 0.58 1.94 1.81 -2.71 -2.60 -2.94 -3.30 0.15 0.05 0.01

Price Momentum -0.76 2.42 5.25 -1.48 -0.31 0.97 -0.72 -2.73 -4.29 -0.05 -0.01 0.01

Relative Value -7.41 -11.38 -18.45 -2.38 -4.02 -4.94 5.03 7.36 13.52 -0.18 -0.10 -0.05

Value Momentum -4.23 -7.32 -16.35 -1.31 -3.28 -7.04 2.92 4.05 9.31 -0.12 -0.07 -0.04

Equal Weighted Developed World Ex North America (EAFE) 1-Month Return = -1.39%



Within the Developed World Ex North America (EAFE) universe, our Earnings Momentum model posted the

strongest one month decile return spread performance, returning 4.54%.

The Price Momentum model's one year cumulative performance number is the highest at 5.26%.





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Emerging Markets(1)


Deep Value -1.34 -0.86 -9.69 -0.68 0.00 -4.35 0.66 0.86 5.34 -0.02 0.01 -0.02


Price Momentum 1.63 0.19 3.20 0.90 -0.88 -0.06 -0.73 -1.07 -3.26 0.07 0.02 0.03

Relative Value -2.62 -2.58 -4.10 -0.85 -0.45 1.41 1.77 2.13 5.51 -0.05 0.02 0.00

Value Momentum -1.88 -2.27 -9.49 -0.79 -0.08 -1.40 1.09 2.19 8.09 -0.05 -0.01 -0.02

Equal Weighted Emerging Markets Universe 1-Month Return = 3.57%



Within the Emerging Markets universe our Earnings Momentum model had the strongest one month decile

return spread performance, returning 4.20%, while the Deep Value model lagged.

The Earnings Momentum model's one year cumulative performance is the highest for the EM universe at

15.30%.





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Frontier Markets(1)


Deep Value -2.82 -0.97 9.14 -0.93 0.87 7.33 1.89 1.84 -1.81 -0.11 -0.02 0.04

Earnings Momentum 1.19 0.62 -2.12 0.23 -0.17 -1.81 -0.96 -0.79 0.31 0.09 0.03 0.02

Price Momentum -4.40 -7.04 -14.55 -1.25 -3.85 -6.37 3.15 3.18 8.19 -0.05 -0.01 0.01

Relative Value 0.59 0.33 15.90 1.45 1.07 11.44 0.86 0.74 -4.46 0.02 0.01 0.05

Value Momentum -0.29 -0.03 11.81 0.45 0.65 10.18 0.74 0.68 -1.63 -0.02 -0.01 0.05

Equal Weighted Frontier Markets Universe 1-Month Return = 1.92%



Over the Frontier Market's thematic models, the Earnings Momentum model had the strongest one month

decile return spread performance, returning 1.19%.

The Relative Value model's one year cumulative performance has improved to 15.90%.

The Street Revision Magnitude factor within the Earnings Momentum model, had a one month decile return

spread of 2.60% and was the largest contributor to the model's performance in July.





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Specialty Models(1)


Bank and Thrift 2(4) -1.35 4.05 15.35 -0.64 3.07 7.06 0.72 -0.98 -8.29 -0.03 0.13 0.09

Insurance 2.13 7.31 33.34 1.34 2.41 14.71 -0.78 -4.90 -18.63 0.12 0.07 0.07

Oil and Gas -2.66 -1.84 15.78 -1.27 0.83 -0.29 1.39 2.67 -16.08 -0.06 -0.01 0.03

REIT 2 4.43 2.43 3.65 2.37 2.08 0.37 -2.06 -0.35 -3.28 0.16 0.07 0.00

Retail 3.51 4.34 -5.49 -1.95 -2.26 -11.43 -5.46 -6.60 -5.94 0.13 0.06 0.02

Semiconductor -1.53 -7.39 -5.22 -0.95 -2.31 -1.13 0.58 5.08 4.09 -0.04 -0.04 0.01

Technology -2.28 -16.66 -15.77 -1.21 -8.56 -7.49 1.07 8.10 8.28 -0.04 -0.12 -0.02



Within our specialty model library the REIT 2 and the Retail models had the strongest one month quintile

return spread performance returning 4.43% and 3.51%, respectively, while the Technology and the Oil

and Gas models struggled.

The Insurance model's one year cumulative performance is the highest at 33.35% while the Technology

model's performance is the lowest at -15.78%.





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Technology Retail REIT 2




(4) Deciles are used for the Bank and Thrift 2 universe 13

APPENDIX

1.1 UNIVERSE DESCRIPTIONS

Canada 500: Top 500 Canada stocks by market-cap.

US Large Cap: Top 90% of US stocks by cumulative market-cap, including securities held by

passively benchmarked ETF's tracking the same market segment.

US Small Cap: Securities in 91-98% of US stocks by cumulative market-cap, including securities

held by passively benchmarked ETF's tracking the same market segment.

Japan 2000: Top 2000 Japan stocks by market-cap.

Technology: All Technology companies in the US Total Cap universe (top 98% of US stocks).

Semiconductors: Global securities classified in the Semiconductor industry.

Developed Europe: Top 1000 securities in the Developed Europe markets by market-cap.

Australia - New Zealand 250: Top 250 stocks by market-cap in Australia and New Zealand.

Oil & Gas: Global stocks in the oil & gas industry

Developed Pacific: Top 95% of stocks by cumulative free float market-cap among developed

countries in the region, subject to a minimum free float market-cap of USD 250 mm.

Developed World Ex-North America (EAFE): Top 80% of stocks by cumulative market-cap

stocks, in global developed countries excluding US/ Canada.

Emerging Markets: Top 95% of stocks by cumulative free float market-cap among emerging

market countries, subject to a minimum free float market cap of USD 100 mm.

Frontier Markets: Top 95% of stocks by cumulative free float market-cap among frontier market

countries, subject to a minimum free float market cap of USD 100 mm.

Bank and Thrift: All bank and thrift stocks that are part of the US Total Cap universe (top 98% of

US stocks), with a share price > $5 and market-cap >= .01% of the largest bank in the universe.

Insurance Universe: All insurance companies listed on US exchanges, excluding ADR's and

Insurance brokers.

REIT: All US REITs that are part of the US Total Cap universe (top 98% of US stocks), excluding

mortgage REIT's.

Retail: All Retail companies in the US Total Cap universe (top 98% of US stocks), including those

in the Cyclical and Non-Cyclical sectors.

1.2 MODEL DESCRIPTIONS

The reported Decile 1 Excess Returns and Decile 10 Excess Returns are Cumulative Sum

Deep Value Model (DVM): seeks to identify securities trading at a steep discount to their intrinsic

value.Earnings Momentum Model (EMM): incorporates analyst forecasts alongside in conjunction with

past earnings strength to estimate future earnings potential.

Price Momentum Model (PMM): seeks to combine price changes with several risk factors to

provide a consistent short term investment signal.

Relative Value Model (RVM): an alternative approach to the DVM that considers valuation

indicators on an industry adjusted basis thus mitigating any concentration risk.

Value Momentum Analyst (VMA): a comprehensive style model which includes factors from

Value, Price and Earnings Momentum themes to identify attractive/ unattractive securities.

GARP Model (GARP): designed to identify attractively valued stocks using valuation techniques

that take growth into consideration. The Valuation component selects stocks with attractive

valuation characteristics.

Historical Growth Model (HGM): identifies stocks with an above-average track-record of earnings

growth, strong sales growth and high sustainable growth. This blended approach enables our

Historical Growth Model to not only identifies traditional growth stocks, but also value stocks on the

verge of growth.

Small Cap Model: seeks to exploit the noticeable excess performance in the small cap arena.

Constituent factors selected for its individual and orthogonal power within the small cap space.

Bank and Thrift II Model (QBM2): seeks to generate consistent outperformance by leveraging

specialty data sources to create bank-and-thrift-specific factors which complement a set of broad

factors exhibiting strong performance within the bank and thrift industries.

Insurance Model (QIM): provides a robust methodology to enhance stock selection processes by

comparing the relative performance of insurance companies on a consistent valuation framework

designed to identify stocks with significant alpha generating potential.

Oil and Gas Model (OGM): uses a comprehensive scoring system that systematically values

companies utilizing energy specific operating metrics and fundamental factors relevant to the oil

and gas industry.

Retail Model (QRT): designed to generate alpha by employing general factor signals alongside

key retail specific measures. Retail specific indicators include Same Store Sales and Earnings

Expectations.

REIT Model (QRM): incorporates detailed property level information such as occupancy rate,

location, and building quality to construct a bottom up approach assessment of REIT Net Asset

Value; along with several other metrics.

Technology Model (QTA2): a multidimensional approach of combining several industry-specific

models with a cross-sectional overlay. The model seeks to generate alpha by accounting for the

inherent cyclicality and volatility of sub-industries.

1.3 PERFORMANCE STATS CALCULATION

The reported Information Coefficient (correlation between model ranks and equity return) is the

average over the given time period. The reported Decile 1 and Decile 10 Excess Returns are

Cumulative Sum (CUMSUM) and are measured as the excess return of their respective

benchmark over a given time period

The reported Decile 1 Excess Returns and Decile 10 Excess Returns are Cumulative Sum

(CUSUM) returns and are measured as the excess return of their respective benchmark over the

given time period.

The reported Long-Short Spread Returns are Cumulative SUM returns and are calculated by

subtracting the total returns of stocks in the bottom decile/quintile from those in the top

decile/quintile over the given time period.

Quintiles are used for performance stats calculations, instead of deciles, in cases of smaller

universe sizes.

The reported performance stats are all in local currency.

DISLCAIMER

without the prior written permission of IHS Markit is strictly prohibited.

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