MediaTek: High-Quality 5G Beneficiary with a Tremendously Attractive Dividend Yield

SK Hynix: Leading DRAM IDM, Trading at Discount Multiples, in a Strong Demand Environment

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

<p>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. </p><p>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. </p><p>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. </p><p>Notable new entrants to the top decile this month include South Korean auto names, <a href="https://www.smartkarma.com/entities/kia-motors-corp" target="_blank" data-smartkarma-citation="entities:156:1" rel="noopener">Kia Motors Corp (000270 KS)</a> and <a href="https://www.smartkarma.com/entities/hyundai-motor-co" target="_blank" data-smartkarma-citation="entities:155:1" rel="noopener">Hyundai Motor Co (005380 KS)</a> as well as Brazilian state-owned energy giant, <a href="https://www.smartkarma.com/entities/petroleo-brasileiro-sa" target="_blank" data-smartkarma-citation="entities:24459:1" rel="noopener">Petroleo Brasileiro Sa (PETR3 BZ)</a>.</p><table class="table table-striped">
<colgroup>
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<col>
<col>
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</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/cnooc-ltd" target="_blank" data-smartkarma-citation="entities:175:1" rel="noopener">CNOOC Ltd (883 HK)</a></td>
<td>Energy</td>
<td>China</td>
<td style="text-align: center;">1</td>
</tr>
<tr>
<td style="text-align: center;">2</td>
<td><a href="https://www.smartkarma.com/entities/mediatek-inc" target="_blank" data-smartkarma-citation="entities:772:1" rel="noopener">Mediatek Inc (2454 TT)</a></td>
<td>Information Technology</td>
<td>Taiwan</td>
<td style="text-align: center;">5</td>
</tr>
<tr>
<td style="text-align: center;">3</td>
<td><a href="https://www.smartkarma.com/entities/sk-hynix-inc" target="_blank" data-smartkarma-citation="entities:16955:1" rel="noopener">SK Hynix (000660 KS)</a></td>
<td>Information Technology</td>
<td>Korea (South)</td>
<td style="text-align: center;">23</td>
</tr>
<tr>
<td style="text-align: center;">4</td>
<td><a href="https://www.smartkarma.com/entities/kia-motors-corp" target="_blank" data-smartkarma-citation="entities:156:1" rel="noopener">Kia Motors Corp (000270 KS)</a></td>
<td>Consumer Discretionary</td>
<td>Korea (South)</td>
<td style="text-align: center;">60</td>
</tr>
<tr>
<td style="text-align: center;">5</td>
<td><a href="https://www.smartkarma.com/entities/bank-of-china-ltd-h" target="_blank" data-smartkarma-citation="entities:656:1" rel="noopener">Bank Of China Ltd (H) (3988 HK)</a></td>
<td>Financials</td>
<td>China</td>
<td style="text-align: center;">25</td>
</tr>
<tr>
<td style="text-align: center;">6</td>
<td><a href="https://www.smartkarma.com/entities/ptt-pcl" target="_blank" data-smartkarma-citation="entities:197:1" rel="noopener">PTT PCL (PTT TB)</a></td>
<td>Energy</td>
<td>Thailand</td>
<td style="text-align: center;">4</td>
</tr>
<tr>
<td style="text-align: center;">7</td>
<td><a href="https://www.smartkarma.com/entities/samsung-electronics-co-ltd" target="_blank" data-smartkarma-citation="entities:191:1" rel="noopener">Samsung Electronics (005930 KS)</a></td>
<td>Information Technology</td>
<td>Korea (South)</td>
<td style="text-align: center;">9</td>
</tr>
<tr>
<td style="text-align: center;">8</td>
<td><a href="https://www.smartkarma.com/entities/hyundai-motor-co" target="_blank" data-smartkarma-citation="entities:155:1" rel="noopener">Hyundai Motor Co (005380 KS)</a></td>
<td>Consumer Discretionary</td>
<td>Korea (South)</td>
<td style="text-align: center;">80</td>
</tr>
<tr>
<td style="text-align: center;">9</td>
<td><a href="https://www.smartkarma.com/entities/china-mobile-ltd" target="_blank" data-smartkarma-citation="entities:27:1" rel="noopener">China Mobile (941 HK)</a></td>
<td>Communication</td>
<td>China</td>
<td style="text-align: center;">29</td>
</tr>
<tr>
<td style="text-align: center;">10</td>
<td><a href="https://www.smartkarma.com/entities/petroleo-brasileiro-sa" target="_blank" data-smartkarma-citation="entities:24459:1" rel="noopener">Petroleo Brasileiro Sa (PETR3 BZ)</a></td>
<td>Energy</td>
<td>Brazil</td>
<td style="text-align: center;">59</td>
</tr>
<tr><td colspan="5" style="text-align: left;"><em>Source: FactSet financial data and analytics, my estimates and calculations, Tensorflow, Keras, Google Colaboratory, pandas</em></td></tr>
</tbody>
</table><p><em>As usual, please feel free to reach out for the full output table, any questions, clarifications needed or suggestions.</em></p>

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 South Korean auto names, Kia Motors Corp (000270 KS) and Hyundai Motor Co (005380 KS) as well as Brazilian state-owned energy giant, Petroleo Brasileiro Sa (PETR3 BZ).









rank
Name
Sector
Location
prev.


1
CNOOC Ltd (883 HK)
Energy
China
1


2
Mediatek Inc (2454 TT)
Information Technology
Taiwan
5


3
SK Hynix (000660 KS)
Information Technology
Korea (South)
23


4
Kia Motors Corp (000270 KS)
Consumer Discretionary
Korea (South)
60


5
Bank Of China Ltd (H) (3988 HK)
Financials
China
25


6
PTT PCL (PTT TB)
Energy
Thailand
4


7
Samsung Electronics (005930 KS)
Information Technology
Korea (South)
9


8
Hyundai Motor Co (005380 KS)
Consumer Discretionary
Korea (South)
80


9
China Mobile (941 HK)
Communication
China
29


10
Petroleo Brasileiro Sa (PETR3 BZ)
Energy
Brazil
59

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.

IT

Screening for GEMs: June 2021