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.


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

<ul>
<li>LATAM allocations hit 10-year highs in active Global equity funds.</li>
<li>Notable increases in allocations include Ninety One Global Value (up 7.5%) and Ranmore Global Equity (up 6.7%), with smaller contributions from Lazard, Delaware, and JOHCM</li>
<li>MercadoLibre is the driving force behind the moves higher, and remains the conviction holding in the region.</li>
</ul>


LATAM allocations hit 10-year highs in active Global equity funds.
Notable increases in allocations include Ninety One Global Value (up 7.5%) and Ranmore Global Equity (up 6.7%), with smaller contributions from Lazard, Delaware, and JOHCM
MercadoLibre is the driving force behind the moves higher, and remains the conviction holding in the region.


LATAM Momentum:  Global Funds Raise Exposure

<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.


Mexico

Wal-Mart de Mexico S.A.B. de C.V. retails food, clothing, and other merchandise under a variety of store formats. The Company operates Wal-Mart Supercenters, Sam's Club wholesale outlets, Bodega discount stores and Superama supermarkets.

Wal-Mart de Mexico SAB de CV (WALMEX* MM EQUITY)

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Wal-Mart de Mexico SAB de CV (WALMEX* MM EQUITY)

Screening for GEMs: April 2024

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

LATAM Momentum: Global Funds Raise Exposure

LATAM allocations hit 10-year highs in active Global equity funds. . MercadoLibre the driving force behind the moves higher, and remains the...

Steven Holden

Screening for GEMs: January 2024

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 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

Price Gauge

52-week Range

Market Cap (USDm)

P/E

Dividend (Yield)