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

<ul>
<li>An overview (and output) of our machine learning-driven GEM screening model, which seeks to find the best medium-term long ideas within the top100 stocks in the MSCI GEM Index.</li>
<li>The model is based on 1) a quantitative multifactor screening model, enhanced by two AI Technology-based approaches; 2) a Deep Neural Network model, and 3) a Recurrent Neural Network model.</li>
<li>Developed over the past 3 years, and implemented in its current state for 20 months, the model has a solid real-world alpha-generating performance track record, set out in detail below.</li>
</ul>


An overview (and output) of our machine learning-driven GEM screening model, which seeks to find the best medium-term long ideas within the top100 stocks in the MSCI GEM Index.
The model is based on 1) a quantitative multifactor screening model, enhanced by two AI Technology-based approaches; 2) a Deep Neural Network model, and 3) a Recurrent Neural Network model.
Developed over the past 3 years, and implemented in its current state for 20 months, the model has a solid real-world alpha-generating performance track record, set out in detail below.


<ul>
<li>An overview (and output) of our machine learning-driven GEM screening model, which seeks to find the best medium-term long ideas within the top100 stocks in the MSCI GEM Index.</li>
<li>The model is based on 1) a quantitative multifactor screening model, enhanced by two AI Technology-based approaches; 2) a Deep Neural Network model, and 3) a Recurrent Neural Network model.</li>
<li>Developed over the past 3 years, and implemented in its current state for 18 months, the model has a solid real-world alpha-generating performance track record, set out in detail below.</li>
</ul>


An overview (and output) of our machine learning-driven GEM screening model, which seeks to find the best medium-term long ideas within the top100 stocks in the MSCI GEM Index.
The model is based on 1) a quantitative multifactor screening model, enhanced by two AI Technology-based approaches; 2) a Deep Neural Network model, and 3) a Recurrent Neural Network model.
Developed over the past 3 years, and implemented in its current state for 18 months, the model has a solid real-world alpha-generating performance track record, set out in detail below.


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 3 years (and implemented in its current state for 17 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 Russian internet company <a href="https://www.smartkarma.com/entities/yandex-nv-a" target="_blank" data-smartkarma-citation="entities:414:1" rel="noopener">Yandex (YNDX US)</a>, Indian IT Services company <a href="https://www.smartkarma.com/entities/hcl-technologies-ltd" target="_blank" data-smartkarma-citation="entities:20025:1" rel="noopener">Hcl Technologies (HCLT IN)</a>, and a return to the top 10 for <a href="https://www.smartkarma.com/entities/taiwan-semiconductor-manufacturing-company" target="_blank" data-smartkarma-citation="entities:11230:1" rel="noopener">TSMC (2330 TT)</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>
<a href="https://www.smartkarma.com/entities/lg-household-health-care" target="_blank" data-smartkarma-citation="entities:6501:1" rel="noopener">LG Household &amp; Health Care (051900 KS)</a> </td>
<td>Consumer Staples</td>
<td>Korea (South)</td>
<td style="text-align: center;">12</td>
</tr>
<tr>
<td style="text-align: center;">2</td>
<td>
<a href="https://www.smartkarma.com/entities/netease" target="_blank" data-smartkarma-citation="entities:29030:1" rel="noopener">NetEase (9999 HK)</a> </td>
<td>Communication</td>
<td>China</td>
<td style="text-align: center;">2</td>
</tr>
<tr>
<td style="text-align: center;">3</td>
<td>
<a href="https://www.smartkarma.com/entities/jd-com-inc" target="_blank" data-smartkarma-citation="entities:29043:1" rel="noopener">JD.com Inc. (9618 HK)</a> </td>
<td>Consumer Discretionary</td>
<td>China</td>
<td style="text-align: center;">10</td>
</tr>
<tr>
<td style="text-align: center;">4</td>
<td>
<a href="https://www.smartkarma.com/entities/xiaomi-corp" target="_blank" data-smartkarma-citation="entities:24409:1" rel="noopener">Xiaomi Corp (1810 HK)</a> </td>
<td>Information Technology</td>
<td>China</td>
<td style="text-align: center;">4</td>
</tr>
<tr>
<td style="text-align: center;">5</td>
<td>
<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>Communication</td>
<td>Russian Federation</td>
<td style="text-align: center;">49</td>
</tr>
<tr>
<td style="text-align: center;">6</td>
<td>
<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>Consumer Discretionary</td>
<td>China</td>
<td style="text-align: center;">1</td>
</tr>
<tr>
<td style="text-align: center;">7</td>
<td>
<a href="https://www.smartkarma.com/entities/taiwan-semiconductor-manufacturing-company" target="_blank" data-smartkarma-citation="entities:11230:1" rel="noopener">TSMC (2330 TT)</a> </td>
<td>Information Technology</td>
<td>Taiwan</td>
<td style="text-align: center;">16</td>
</tr>
<tr>
<td style="text-align: center;">8</td>
<td>
<a href="https://www.smartkarma.com/entities/al-rajhi-bank" target="_blank" data-smartkarma-citation="entities:27038:1" rel="noopener">Al Rajhi Bank (RJHI AB)</a> </td>
<td>Financials</td>
<td>Saudi Arabia</td>
<td style="text-align: center;">33</td>
</tr>
<tr>
<td style="text-align: center;">9</td>
<td>
<a href="https://www.smartkarma.com/entities/magazine-luiza-sa" target="_blank" data-smartkarma-citation="entities:27676:1" rel="noopener">Magazine Luiza SA (MGLU3 BZ)</a> </td>
<td>Consumer Discretionary</td>
<td>Brazil</td>
<td style="text-align: center;">15</td>
</tr>
<tr>
<td style="text-align: center;">10</td>
<td>
<a href="https://www.smartkarma.com/entities/hcl-technologies-ltd" target="_blank" data-smartkarma-citation="entities:20025:1" rel="noopener">Hcl Technologies (HCLT IN)</a> </td>
<td>Information Technology</td>
<td>India</td>
<td style="text-align: center;">83</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, 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 3 years (and implemented in its current state for 17 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 Russian internet company Yandex (YNDX US), Indian IT Services company Hcl Technologies (HCLT IN), and a return to the top 10 for TSMC (2330 TT).

      


rank
Name
Sector
Location
prev.


1

LG Household &amp; Health Care (051900 KS) 
Consumer Staples
Korea (South)
12


2

NetEase (9999 HK) 
Communication
China
2


3

JD.com Inc. (9618 HK) 
Consumer Discretionary
China
10


4

Xiaomi Corp (1810 HK) 
Information Technology
China
4


5

Yandex (YNDX US) 
Communication
Russian Federation
49


6

New Oriental Education &amp; Technology Group (9901 HK) 
Consumer Discretionary
China
1


7

TSMC (2330 TT) 
Information Technology
Taiwan
16


8

Al Rajhi Bank (RJHI AB) 
Financials
Saudi Arabia
33


9

Magazine Luiza SA (MGLU3 BZ) 
Consumer Discretionary
Brazil
15


10

Hcl Technologies (HCLT IN) 
Information Technology
India
83


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.

Asset Allocation & Fund Positioning, Copley Fund Research

Steven Holden

Asset Allocation & Fund Positioning

Copley Fund Research

Copley Fund Research provide research and data on asset allocation among Global and Emerging Market equity funds.  The analysis details absolute and relative positioning across countries, sectors and industries together with highly granular data on single stock and single fund allocations.  The data is updated monthly with time series going back to January 2011.

Global Research - Analysis of 165 prominent Global equity funds, combined AUM $335bn
GEM Research - Analysis of 127 prominent global EM equity funds, combined AUM $250bn

Asset Allocation - Global and GEM Equity

Cross Asset Strategy

The last decade has seen EMEA allocations in active GEM portfolios drift ever lower, with Asia becoming the dominant weight.  However, the recent rhetoric from China has seen Asian allocations fall from their peak and EMEA allocations rally from their lows.  Average weights in EMEA stocks stand at 13.72%, marginally overweight the iShares MSCI Emerging Markets ETF by 0.24%, with just under half of the active managers in our analysis overweight. <ul>
<li>Over the course of the last decade, exposure to each EMEA sector has either fallen dramatically or at best stayed largely unchanged.  Those that have seen a big decline in investment are led by EMEA Industrials and Health Care, with over 40% of investors closing exposure.  </li>
<li>The largest sector exposure, EMEA Financials allocations sit towards the lower-end of their historical range.  Top holdings are <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> and <a href="https://www.smartkarma.com/entities/otp-bank-nyrt" target="_blank" data-smartkarma-citation="entities:28806:1" rel="noopener">OTP Bank Nyrt (OTP HB)</a> with 59% and 31% of funds invested respectively.  <a href="https://www.smartkarma.com/entities/tcs-group-holding-plc" target="_blank" data-smartkarma-citation="entities:28148:1" rel="noopener">TCS Group Holding PLC (TCS LI)</a> and <a href="https://www.smartkarma.com/entities/capitec-bank-holdings-ltd" target="_blank" data-smartkarma-citation="entities:27628:1" rel="noopener">Capitec Bank Holdings Ltd (CPI SJ)</a> saw ownership levels increase the most over the last 6-months.</li>
<li>Consumer Discretionary weights hit another all-time high this month of 1.46%, representing a 1.04% overweight versus the iShares MSCI EM ETF.  Underpinning the overweight are out-of-benchmark holdings in <a href="https://www.smartkarma.com/entities/prosus-nv" target="_blank" data-smartkarma-citation="entities:28104:1" rel="noopener">Prosus (PRX NA)</a> and Fix Price Group, though in general stocks in the sector are not widely held.  Funds with big overweights are led by Comgest's GEM Promising Companies Fund (8.98%) and Van Eck's Emerging Markets Fund (7.21%).  </li>
<li>With active ownership declining throughout 2020, <a href="https://www.smartkarma.com/entities/gazprom-pjsc" target="_blank" data-smartkarma-citation="entities:23749:1" rel="noopener">Gazprom PJSC (GAZP RX)</a> has finally been the recipient of some inflows.  Over the last 6-months, 2% of funds added Gazprom to their portfolios with a combined $217m in inflows.  Leading those were Fidelity (2.7%), Virtus Allianz (2.67%) and JP Morgan ($64m).</li>
</ul>The analysis looks in detail at all sectors in the EMEA region, together with some of the key stocks that underpin investment in the region.Analysis taken from our GEM fund research, covering 250 active GEM strategies with combined AUM of $500bn

The last decade has seen EMEA allocations in active GEM portfolios drift ever lower, with Asia becoming the dominant weight.  However, the recent rhetoric from China has seen Asian allocations fall from their peak and EMEA allocations rally from their lows.  Average weights in EMEA stocks stand at 13.72%, marginally overweight the iShares MSCI Emerging Markets ETF by 0.24%, with just under half of the active managers in our analysis overweight. 
Over the course of the last decade, exposure to each EMEA sector has either fallen dramatically or at best stayed largely unchanged.  Those that have seen a big decline in investment are led by EMEA Industrials and Health Care, with over 40% of investors closing exposure.  
The largest sector exposure, EMEA Financials allocations sit towards the lower-end of their historical range.  Top holdings are Sberbank Of Russia Pjsc (SBER LI) and OTP Bank Nyrt (OTP HB) with 59% and 31% of funds invested respectively.  TCS Group Holding PLC (TCS LI) and Capitec Bank Holdings Ltd (CPI SJ) saw ownership levels increase the most over the last 6-months.
Consumer Discretionary weights hit another all-time high this month of 1.46%, representing a 1.04% overweight versus the iShares MSCI EM ETF.  Underpinning the overweight are out-of-benchmark holdings in Prosus (PRX NA) and Fix Price Group, though in general stocks in the sector are not widely held.  Funds with big overweights are led by Comgest's GEM Promising Companies Fund (8.98%) and Van Eck's Emerging Markets Fund (7.21%).  
With active ownership declining throughout 2020, Gazprom PJSC (GAZP RX) has finally been the recipient of some inflows.  Over the last 6-months, 2% of funds added Gazprom to their portfolios with a combined $217m in inflows.  Leading those were Fidelity (2.7%), Virtus Allianz (2.67%) and JP Morgan ($64m).
The analysis looks in detail at all sectors in the EMEA region, together with some of the key stocks that underpin investment in the region.Analysis taken from our GEM fund research, covering 250 active GEM strategies with combined AUM of $500bn

EMEA Sectors Deep-Dive.  Active Positioning in the EMEA Region

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

TSMC (Taiwan Semiconductor Manufacturing) / Technical Analysis

TSMC (Taiwan Semiconductor Manufacturing)

Emerging market equities have been one of the worst areas to invest in 2021, but we see early signs of positive change. With the US dollar failing to break above resistance at $93.50 and the MSCI EM ETF (EEM-US) displaying a false breakdown at $52, we believe now is an opportune time to add exposure to emerging market equities. To be clear, we are not getting overly bullish on EM; we have favored developed int’l (EAFE) over EM since May, and we are now shifting back to a neutral stance between the two. We see reason to believe the tide is shifting in EM’s favor. Below we highlight attractive and actionable themes within EM.

Emerging market equities have been one of the worst areas to invest in 2021, but we see early signs of positive change. With the US dollar failing to break above resistance at $93.50 and the MSCI EM ETF (EEM-US) displaying a false breakdown at $52, we believe now is an opportune time to add exposure to emerging market equities. To be clear, we are not getting overly bullish on EM; we have favored developed int’l (EAFE) over EM since May, and we are now shifting back to a neutral stance between the two. We see reason to believe the tide is shifting in EM’s favor. Below we highlight attractive and actionable themes within EM.

Shifting Exposure To Emerging Markets; Buying TSMC/Taiwan Semi, ICICI Bank, Many Others

Netherlands

Nebius Group is a technology company providing infrastructure and services to AI builders globally. The group's core business, Nebius, is an AI-centric cloud platform built for AI workloads. Nebius Group serves customers worldwide.

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Nebius Group (NBIS US)

Screening for GEMs: January 2022

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

Screening for GEMs: December 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

Screening for GEMs: November 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

EMEA Sectors Deep-Dive. Active Positioning in the EMEA Region

The last decade has seen EMEA weights drift ever lower. We look in detail at all sectors in the EMEA region, together with some of the key stocks...

Steven Holden

Shifting Exposure To Emerging Markets; Buying TSMC/Taiwan Semi, ICICI Bank, Many Others

We see early signs of positive change within EM, and we present a strong case as to why we believe now is an opportune time to add exposure.

Vermilion Research

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