Global Emerging Market Equities, Propitious Research

Wium Malan, CFA

Global Emerging Market Equities

Independent, Fundamental Quantitative Research

Propitious Research

Fully independent, fundamental and quantitative equity research, focused on companies in the Telecommunication, Media, Technology, Internet and Healthcare sectors in the Global Emerging Markets. Idea generation focused on Quality stocks, trading below their intrinsic Value, with sound Corporate Governance.

Quantitative Analysis

This insight provides the output, and an overview of our, machine learning-driven, proprietary GEM screening model, which takes a three-pronged approach to find the best medium-term long ideas within the top100 largest stocks in the MSCI GEM Index. The model is based on 1) a typical quantitative multifactor screening model, enhanced by two Artificial Intelligence Technology-based approaches using 2) a Deep Neural Network model, and 3) a Recurrent Neural Network model. This model, which has been developed and tweaked over the past 24 months (and implemented in its current state for &gt;12 months), has a solid real-world performance track record, which I set out in the detail below. Notable new entrants to the top decile this month include bottom-fishing in Chinese education through <a href="https://www.smartkarma.com/entities/new-oriental-education-tech-grp-adr" target="_blank" data-smartkarma-citation="entities:531:1" rel="noopener">New Oriental Education (EDU US)</a>, Russian internet play <a href="https://www.smartkarma.com/entities/yandex-nv-a" target="_blank" data-smartkarma-citation="entities:414:1" rel="noopener">Yandex (YNDX US)</a>, Brazilian beverages giant <a href="https://www.smartkarma.com/entities/ambev-sa" target="_blank" data-smartkarma-citation="entities:24454:1" rel="noopener">Ambev SA (ABEV3 BZ)</a>, and a rebound call on <a href="https://www.smartkarma.com/entities/tencent-holdings-ltd" target="_blank" data-smartkarma-citation="entities:26:1" rel="noopener">Tencent (700 HK)</a>.<table class="table table-striped">
<colgroup>
<col>
<col>
<col>
<col>
<col>
</colgroup>
<tbody>
<tr>
<td style="text-align: center; width: 74.9062px;">rank</td>
<td style="width: 262.578px;">Name</td>
<td style="width: 185.766px;">Sector</td>
<td style="width: 147.797px;">Location</td>
<td style="text-align: center; width: 74.9531px;">prev.</td>
</tr>
<tr>
<td style="text-align: center; width: 74.9062px;">1</td>
<td style="width: 262.578px;">
<a href="https://www.smartkarma.com/entities/tata-consultancy-svcs-ltd" target="_blank" data-smartkarma-citation="entities:18708:1" rel="noopener">Tata Consultancy Svcs (TCS IN)</a> </td>
<td style="width: 185.766px;">Information Technology</td>
<td style="width: 147.797px;">India</td>
<td style="text-align: center; width: 74.9531px;">19</td>
</tr>
<tr>
<td style="text-align: center; width: 74.9062px;">2</td>
<td style="width: 262.578px;">
<a href="https://www.smartkarma.com/entities/shenzhou-intl-group-holdings-ltd" target="_blank" data-smartkarma-citation="entities:10415:1" rel="noopener">Shenzhou Intl Group Holdings (2313 HK)</a> </td>
<td style="width: 185.766px;">Consumer Discretionary</td>
<td style="width: 147.797px;">China</td>
<td style="text-align: center; width: 74.9531px;">12</td>
</tr>
<tr>
<td style="text-align: center; width: 74.9062px;">3</td>
<td style="width: 262.578px;">
<a href="https://www.smartkarma.com/entities/new-oriental-education-technology-group" target="_blank" data-smartkarma-citation="entities:32210:1" rel="noopener">New Oriental Education &amp; Technology Group (9901 HK)</a> </td>
<td style="width: 185.766px;">Consumer Discretionary</td>
<td style="width: 147.797px;">China</td>
<td style="text-align: center; width: 74.9531px;">92</td>
</tr>
<tr>
<td style="text-align: center; width: 74.9062px;">4</td>
<td style="width: 262.578px;">
<a href="https://www.smartkarma.com/entities/yandex-nv-a" target="_blank" data-smartkarma-citation="entities:414:1" rel="noopener">Yandex (YNDX US)</a> </td>
<td style="width: 185.766px;">Communication</td>
<td style="width: 147.797px;">Russian Federation</td>
<td style="text-align: center; width: 74.9531px;">88</td>
</tr>
<tr>
<td style="text-align: center; width: 74.9062px;">5</td>
<td style="width: 262.578px;">
<a href="https://www.smartkarma.com/entities/china-resources-land-ltd" target="_blank" data-smartkarma-citation="entities:418:1" rel="noopener">China Resources Land (1109 HK)</a> </td>
<td style="width: 185.766px;">Real Estate</td>
<td style="width: 147.797px;">China</td>
<td style="text-align: center; width: 74.9531px;">33</td>
</tr>
<tr>
<td style="text-align: center; width: 74.9062px;">6</td>
<td style="width: 262.578px;">
<a href="https://www.smartkarma.com/entities/ambev-sa" target="_blank" data-smartkarma-citation="entities:24454:1" rel="noopener">Ambev SA (ABEV3 BZ)</a> </td>
<td style="width: 185.766px;">Consumer Staples</td>
<td style="width: 147.797px;">Brazil</td>
<td style="text-align: center; width: 74.9531px;">56</td>
</tr>
<tr>
<td style="text-align: center; width: 74.9062px;">7</td>
<td style="width: 262.578px;">
<a href="https://www.smartkarma.com/entities/ncsoft-corp" target="_blank" data-smartkarma-citation="entities:5169:1" rel="noopener">NCSOFT Corp (036570 KS)</a> </td>
<td style="width: 185.766px;">Communication</td>
<td style="width: 147.797px;">Korea (South)</td>
<td style="text-align: center; width: 74.9531px;">18</td>
</tr>
<tr>
<td style="text-align: center; width: 74.9062px;">8</td>
<td style="width: 262.578px;">
<a href="https://www.smartkarma.com/entities/tencent-holdings-ltd" target="_blank" data-smartkarma-citation="entities:26:1" rel="noopener">Tencent (700 HK)</a> </td>
<td style="width: 185.766px;">Communication</td>
<td style="width: 147.797px;">China</td>
<td style="text-align: center; width: 74.9531px;">61</td>
</tr>
<tr>
<td style="text-align: center; width: 74.9062px;">9</td>
<td style="width: 262.578px;">
<a href="https://www.smartkarma.com/entities/hindustan-unilever-ltd" target="_blank" data-smartkarma-citation="entities:13828:1" rel="noopener">Hindustan Unilever (HUVR IN)</a> </td>
<td style="width: 185.766px;">Consumer Staples</td>
<td style="width: 147.797px;">India</td>
<td style="text-align: center; width: 74.9531px;">70</td>
</tr>
<tr>
<td style="text-align: center; width: 74.9062px;">10</td>
<td style="width: 262.578px;">
<a href="https://www.smartkarma.com/entities/maruti-suzuki-india-ltd" target="_blank" data-smartkarma-citation="entities:733:1" rel="noopener">Maruti Suzuki India (MSIL IN)</a> </td>
<td style="width: 185.766px;">Consumer Discretionary</td>
<td style="width: 147.797px;">India</td>
<td style="text-align: center; width: 74.9531px;">89</td>
</tr>
<tr><td colspan="5" style="text-align: left; width: 746px;">Source: FactSet financial data and analytics, my estimates and calculations, Tensorflow, Keras, Google Colaboratory, pandas</td></tr>
</tbody>
</table>As usual, please feel free to reach out for the full output table, any questions, clarifications needed or suggestions.

This insight provides the output, and an overview of our, machine learning-driven, proprietary GEM screening model, which takes a three-pronged approach to find the best medium-term long ideas within the top100 largest stocks in the MSCI GEM Index. The model is based on 1) a typical quantitative multifactor screening model, enhanced by two Artificial Intelligence Technology-based approaches using 2) a Deep Neural Network model, and 3) a Recurrent Neural Network model. This model, which has been developed and tweaked over the past 24 months (and implemented in its current state for &gt;12 months), has a solid real-world performance track record, which I set out in the detail below. Notable new entrants to the top decile this month include bottom-fishing in Chinese education through New Oriental Education (EDU US), Russian internet play Yandex (YNDX US), Brazilian beverages giant Ambev SA (ABEV3 BZ), and a rebound call on Tencent (700 HK).









rank
Name
Sector
Location
prev.


1

Tata Consultancy Svcs (TCS IN) 
Information Technology
India
19


2

Shenzhou Intl Group Holdings (2313 HK) 
Consumer Discretionary
China
12


3

New Oriental Education &amp; Technology Group (9901 HK) 
Consumer Discretionary
China
92


4

Yandex (YNDX US) 
Communication
Russian Federation
88


5

China Resources Land (1109 HK) 
Real Estate
China
33


6

Ambev SA (ABEV3 BZ) 
Consumer Staples
Brazil
56


7

NCSOFT Corp (036570 KS) 
Communication
Korea (South)
18


8

Tencent (700 HK) 
Communication
China
61


9

Hindustan Unilever (HUVR IN) 
Consumer Staples
India
70


10

Maruti Suzuki India (MSIL IN) 
Consumer Discretionary
India
89

Source: FactSet financial data and analytics, my estimates and calculations, Tensorflow, Keras, Google Colaboratory, pandas

As usual, please feel free to reach out for the full output table, any questions, clarifications needed or suggestions.

Alpha-Centric ESG Research

Kyle Rudden

Shortly after publishing <a href="https://www.smartkarma.com/insights/engine-versus-exxon-activist-hedge-fund-s-proxy-fight-win-reverberates-through-big-oil-boardrooms" target="_blank" data-smartkarma-citation="insights:52318" rel="noopener">Engine Versus Exxon: Activist Hedge Fund's Proxy Fight Win Reverberates Through "Big Oil" Boardrooms</a>, I decided that a follow-up report (such as this one) would be a good supplement. So, consider this an addendum of sorts to that first Insight.Whereas "Engine Versus Exxon" was a mostly qualitative discussion of recent events for Exxon and six other supermajors, this is a more data-driven look of a much larger universe of oil stocks; 50 in total, representing 24 countries (mainly in the Americas, Asia Pacific, and Europe).Together, they are a good proxy for the broader Energy sector – an aggregate market capitalisation of US$4.6 trillion, and responsible for an astounding 20.5 billion MtCO2e in emissions, about 65% of all energy-related greenhouse gas (GHG) emissions.This is a relatively focused Insight, covering four related areas:<ol>
<li>
Carbon Footprints: Scope 1, Scope 2, and Scope 3 emissions for each (ranked and sorted).</li>
<li>
Climate Policies: Where each stands vis-à-vis implementation of climate-related policies.</li>
<li>
Emissions Targets: Which companies are claiming to go net-zero emissions, and by when.</li>
<li>
Capital Investment: How future CapEx is (or is not) aligned with global warming targets.</li>
</ol>

Shortly after publishing Engine Versus Exxon: Activist Hedge Fund's Proxy Fight Win Reverberates Through "Big Oil" Boardrooms, I decided that a follow-up report (such as this one) would be a good supplement. So, consider this an addendum of sorts to that first Insight.Whereas "Engine Versus Exxon" was a mostly qualitative discussion of recent events for Exxon and six other supermajors, this is a more data-driven look of a much larger universe of oil stocks; 50 in total, representing 24 countries (mainly in the Americas, Asia Pacific, and Europe).Together, they are a good proxy for the broader Energy sector – an aggregate market capitalisation of US$4.6 trillion, and responsible for an astounding 20.5 billion MtCO2e in emissions, about 65% of all energy-related greenhouse gas (GHG) emissions.This is a relatively focused Insight, covering four related areas:

Carbon Footprints: Scope 1, Scope 2, and Scope 3 emissions for each (ranked and sorted).

Climate Policies: Where each stands vis-à-vis implementation of climate-related policies.

Emissions Targets: Which companies are claiming to go net-zero emissions, and by when.

Capital Investment: How future CapEx is (or is not) aligned with global warming targets.


Greenhouse Gas Emissions Profiles of 50 of the World's Largest Oil Companies

This insight provides the output, and an overview of, our proprietary GEM screening model, which takes a three-pronged approached to finding the best medium-term long ideas within the top100 largest stocks in the MSCI GEM Index. The model is based on 1) a typical quantitative multifactor screening model, enhanced by two Artificial Intelligence Technology-based approaches using 2) a Deep Neural Network model, and 3) a Recurrent Neural Network model. This model, which has been developed and tweaked over the past 24 months (and implemented in its current state for 12 months), has a solid real-world performance track record, which I set out in the detail below. Notable new entrants to the top decile this month include <a href="https://www.smartkarma.com/entities/gazprom-pjsc" target="_blank" data-smartkarma-citation="entities:23749:1" rel="noopener">Gazprom PJSC (GAZP RX)</a>, <a href="https://www.smartkarma.com/entities/mediatek-inc" target="_blank" data-smartkarma-citation="entities:772:1" rel="noopener">Mediatek Inc (2454 TT)</a>, and <a href="https://www.smartkarma.com/entities/sberbank-of-russia-pjsc" target="_blank" data-smartkarma-citation="entities:24142:1" rel="noopener">Sberbank Of Russia Pjsc (SBER LI)</a>.<table class="table table-striped">
<colgroup>
<col>
<col>
<col>
<col>
<col>
</colgroup>
<tbody>
<tr>
<td style="text-align: center; width: 48pt;">rank</td>
<td style="width: 169pt;">Name</td>
<td style="width: 119pt;">Sector</td>
<td style="width: 95pt;">Location</td>
<td style="text-align: center; width: 48pt;">prev.</td>
</tr>
<tr>
<td style="text-align: center;">1</td>
<td>CNOOC LTD</td>
<td>Energy</td>
<td>China</td>
<td style="text-align: center;">25</td>
</tr>
<tr>
<td style="text-align: center;">2</td>
<td>GAZPROM</td>
<td>Energy</td>
<td>Russian Federation</td>
<td style="text-align: center;">89</td>
</tr>
<tr>
<td style="text-align: center;">3</td>
<td>CHINA RESOURCES LAND LTD</td>
<td>Real Estate</td>
<td>China</td>
<td style="text-align: center;">45</td>
</tr>
<tr>
<td style="text-align: center;">4</td>
<td>PTT NON-VOTING DR PCL</td>
<td>Energy</td>
<td>Thailand</td>
<td style="text-align: center;">39</td>
</tr>
<tr>
<td style="text-align: center;">5</td>
<td>MEDIATEK INC</td>
<td>Information Technology</td>
<td>Taiwan</td>
<td style="text-align: center;">81</td>
</tr>
<tr>
<td style="text-align: center;">6</td>
<td>PAO NOVATEK GDR</td>
<td>Energy</td>
<td>Russian Federation</td>
<td style="text-align: center;">48</td>
</tr>
<tr>
<td style="text-align: center;">7</td>
<td>GEELY AUTOMOBILE HOLDINGS LTD</td>
<td>Consumer Discretionary</td>
<td>China</td>
<td style="text-align: center;">2</td>
</tr>
<tr>
<td style="text-align: center;">8</td>
<td>SBERBANK ROSSII</td>
<td>Financials</td>
<td>Russian Federation</td>
<td style="text-align: center;">59</td>
</tr>
<tr>
<td style="text-align: center;">9</td>
<td>SAMSUNG ELECTRONICS LTD</td>
<td>Information Technology</td>
<td>Korea (South)</td>
<td style="text-align: center;">41</td>
</tr>
<tr>
<td style="text-align: center;">10</td>
<td>FIRSTRAND LTD</td>
<td>Financials</td>
<td>South Africa</td>
<td style="text-align: center;">30</td>
</tr>
<tr><td colspan="5" style="text-align: left;">Source: FactSet financial data and analytics, my estimates and calculations, Tensorflow, Keras, Google Colaboratory, pandas</td></tr>
</tbody>
</table>As usual, please feel free to reach out for the full output table, any questions, clarifications needed or suggestions.

This insight provides the output, and an overview of, our proprietary GEM screening model, which takes a three-pronged approached to finding the best medium-term long ideas within the top100 largest stocks in the MSCI GEM Index. The model is based on 1) a typical quantitative multifactor screening model, enhanced by two Artificial Intelligence Technology-based approaches using 2) a Deep Neural Network model, and 3) a Recurrent Neural Network model. This model, which has been developed and tweaked over the past 24 months (and implemented in its current state for 12 months), has a solid real-world performance track record, which I set out in the detail below. Notable new entrants to the top decile this month include Gazprom PJSC (GAZP RX), Mediatek Inc (2454 TT), and Sberbank Of Russia Pjsc (SBER LI).









rank
Name
Sector
Location
prev.


1
CNOOC LTD
Energy
China
25


2
GAZPROM
Energy
Russian Federation
89


3
CHINA RESOURCES LAND LTD
Real Estate
China
45


4
PTT NON-VOTING DR PCL
Energy
Thailand
39


5
MEDIATEK INC
Information Technology
Taiwan
81


6
PAO NOVATEK GDR
Energy
Russian Federation
48


7
GEELY AUTOMOBILE HOLDINGS LTD
Consumer Discretionary
China
2


8
SBERBANK ROSSII
Financials
Russian Federation
59


9
SAMSUNG ELECTRONICS LTD
Information Technology
Korea (South)
41


10
FIRSTRAND LTD
Financials
South Africa
30

Source: FactSet financial data and analytics, my estimates and calculations, Tensorflow, Keras, Google Colaboratory, pandas

As usual, please feel free to reach out for the full output table, any questions, clarifications needed or suggestions.

Technical Analyst, Vermilion Research

Joe Jasper

Technical Analyst

Technical and Quantitative Research

Vermilion Research

Vermilion’s objective is to deliver timely, actionable, and unique technical research to professional investors through the application of our various technical indicators.

Our research strategists seek to highlight securities which we believe are at major inflection points, based on our various technical and quantitative indicators, and offer asymmetric risk/return profiles. Our unique research methodology, centered on relative strength, enables our strategists to deliver superior investment recommendations.

Our process begins by organizing the universe of actively traded stocks into discrete sectors, then into industry groups. We then apply our technical and quantitative tools to identify developing price trends. Once attractive trends are identified within a selected sector or group, we screen for individual stocks which we believe offer the best risk/reward profile. We provide a historical perspective that often reveals, through our long-term charts, how price patterns often repeat themselves over time.

Technical Analysis

EURO STOXX 50 Price EUR / Technical Analysis

Our intermediate-term outlook remains constructive with major support levels holding on the broad global indexes (MSCI ACWI, ACWI ex-US, EM, and EAFE). Still, we continue to see some reason for caution as various market dynamics have deteriorated, leading us to a more neutral outlook in the near-term.

Our intermediate-term outlook remains constructive with major support levels holding on the broad global indexes (MSCI ACWI, ACWI ex-US, EM, and EAFE). Still, we continue to see some reason for caution as various market dynamics have deteriorated, leading us to a more neutral outlook in the near-term.

Major global indexes (MSCI ACWI, ACWI ex-US, EM, and EAFE) continue to hold above critical support levels and market dynamics remain largely positive. Until this changes, we believe global equities are headed higher in the coming weeks and months. Additionally, we are reiterating our overweight recommendations on small-caps and value as we believe outperformance from these areas is likely to continue.

Major global indexes (MSCI ACWI, ACWI ex-US, EM, and EAFE) continue to hold above critical support levels and market dynamics remain largely positive. Until this changes, we believe global equities are headed higher in the coming weeks and months. Additionally, we are reiterating our overweight recommendations on small-caps and value as we believe outperformance from these areas is likely to continue.

Global Equity Strategy: Small-Caps and Value Stocks Remain in Focus

Russia

NovaTek PJSC produces and distributes natural gas. The Company explores, processes, transports, and markets natural gas and liquid hydrocarbons. NovaTek offers hydrocarbon reserves development, geological exploration, and gas condensate processing services.

Price Gauge
52-week Range	0.00 - 0.00
Market Cap (USDm)	0.00
P/E	0.00
Dividend (Yield)	0.00

Novatek PJSC (NVTK LI)

Screening for GEMs: August 2021

This insight provides an overview of our, machine learning-driven, proprietary GEM screening model, based on a Multifactor model, a Deep Neural...

Wium Malan, CFA

Greenhouse Gas Emissions Profiles of 50 of the World's Largest Oil Companies

A quick overview of the carbon footprints and climate policies of 50 of the world's largest oil stocks (mainly Asia Pacific, Americas, and Europe...

Kyle Rudden

Screening for GEMs: May 2021

This insight provides an overview of our proprietary GEM screening model which is based on a multifactor screening model, a Deep Neural Network...

Wium Malan, CFA

Major Breakout For EURO STOXX 50

Our intermediate-term outlook remains constructive with major support levels holding on the broad global indexes (MSCI ACWI, ACWI ex-US, EM, and...

Vermilion Research

Global Equity Strategy: Small-Caps and Value Stocks Remain in Focus

We are reiterating our overweight recommendations on small-caps and value as we believe outperformance from these areas is likely to continue.

Vermilion Research

Price Gauge

52-week Range

Market Cap (USDm)

P/E

Dividend (Yield)