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 top 100 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 roughly 4 years and implemented in its current state for over 3 years, the model has a solid real-world alpha-generating performance track record, discussed 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 top 100 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 roughly 4 years and implemented in its current state for over 3 years, the model has a solid real-world alpha-generating performance track record, discussed 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 top 100 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 roughly 4 years and implemented in its current state for nearly 3 years, the model has a solid real-world alpha-generating performance track record, discussed 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 top 100 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 roughly 4 years and implemented in its current state for nearly 3 years, the model has a solid real-world alpha-generating performance track record, discussed 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 roughly 4 years and implemented in its current state for over 2 years, the model has a solid real-world alpha-generating performance track record, discussed 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 roughly 4 years and implemented in its current state for over 2 years, the model has a solid real-world alpha-generating performance track record, discussed in detail below.


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

Saudi Arabia

Saudi Telecom Company offers telecommunications services.  The Company offers fixed-line telecommunications, leased circuits, telex and telegraph, Internet access, website hosting, mobile telecommunications and paging services, and operates public telephones.

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Saudi Telecom (STC AB)

Screening for GEMs: August 2023

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: February 2023

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: August 2022

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...

Wium Malan, CFA

Screening for GEMs: June 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

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

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