Global Emerging Market Equities, Propitious Research

Wium Malan, CFA

Global Equity Analyst with 15+ years of experience as a Buy Side analyst covering companies in the Emerging and Developed markets.
Fundamental and Quantitative analysis on companies in the Internet, Telecommunication, Media, Technology, IT Services, Healthcare, Pharmaceutical and other Industrial sectors.
Idea generation focussed on Quality stocks, trading below their intrinsic Value, with sound Corporate Governance.

Global Emerging Market Equities

NetEase (9999-HK): Market Share Winner, Supported by Buybacks and Dividends

Prosus (PRX-NA): Profitable Growth, Elevated Discount

The Naspers/Tencent & Prosus/Tencent Stub: Entry Levels so Attractive It Looks Too Good to Be True

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.


Screening for GEMs: August 2024