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

This insight provides the output, and an overview of, our proprietary GEM screening model, which takes a three-pronged approached to finding 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 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 <a href="https://www.smartkarma.com/entities/gazprom-pjsc" target="_blank" data-smartkarma-citation="entities:23749:1" rel="noopener">Gazprom PJSC (GAZP RX)</a>, <a href="https://www.smartkarma.com/entities/mediatek-inc" target="_blank" data-smartkarma-citation="entities:772:1" rel="noopener">Mediatek Inc (2454 TT)</a>, and <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>.<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>CNOOC LTD</td>
<td>Energy</td>
<td>China</td>
<td style="text-align: center;">25</td>
</tr>
<tr>
<td style="text-align: center;">2</td>
<td>GAZPROM</td>
<td>Energy</td>
<td>Russian Federation</td>
<td style="text-align: center;">89</td>
</tr>
<tr>
<td style="text-align: center;">3</td>
<td>CHINA RESOURCES LAND LTD</td>
<td>Real Estate</td>
<td>China</td>
<td style="text-align: center;">45</td>
</tr>
<tr>
<td style="text-align: center;">4</td>
<td>PTT NON-VOTING DR PCL</td>
<td>Energy</td>
<td>Thailand</td>
<td style="text-align: center;">39</td>
</tr>
<tr>
<td style="text-align: center;">5</td>
<td>MEDIATEK INC</td>
<td>Information Technology</td>
<td>Taiwan</td>
<td style="text-align: center;">81</td>
</tr>
<tr>
<td style="text-align: center;">6</td>
<td>PAO NOVATEK GDR</td>
<td>Energy</td>
<td>Russian Federation</td>
<td style="text-align: center;">48</td>
</tr>
<tr>
<td style="text-align: center;">7</td>
<td>GEELY AUTOMOBILE HOLDINGS LTD</td>
<td>Consumer Discretionary</td>
<td>China</td>
<td style="text-align: center;">2</td>
</tr>
<tr>
<td style="text-align: center;">8</td>
<td>SBERBANK ROSSII</td>
<td>Financials</td>
<td>Russian Federation</td>
<td style="text-align: center;">59</td>
</tr>
<tr>
<td style="text-align: center;">9</td>
<td>SAMSUNG ELECTRONICS LTD</td>
<td>Information Technology</td>
<td>Korea (South)</td>
<td style="text-align: center;">41</td>
</tr>
<tr>
<td style="text-align: center;">10</td>
<td>FIRSTRAND LTD</td>
<td>Financials</td>
<td>South Africa</td>
<td style="text-align: center;">30</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 proprietary GEM screening model, which takes a three-pronged approached to finding 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 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 Gazprom PJSC (GAZP RX), Mediatek Inc (2454 TT), and Sberbank Of Russia Pjsc (SBER LI).









rank
Name
Sector
Location
prev.


1
CNOOC LTD
Energy
China
25


2
GAZPROM
Energy
Russian Federation
89


3
CHINA RESOURCES LAND LTD
Real Estate
China
45


4
PTT NON-VOTING DR PCL
Energy
Thailand
39


5
MEDIATEK INC
Information Technology
Taiwan
81


6
PAO NOVATEK GDR
Energy
Russian Federation
48


7
GEELY AUTOMOBILE HOLDINGS LTD
Consumer Discretionary
China
2


8
SBERBANK ROSSII
Financials
Russian Federation
59


9
SAMSUNG ELECTRONICS LTD
Information Technology
Korea (South)
41


10
FIRSTRAND LTD
Financials
South Africa
30

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.

Head of Research, IPOs & Placements, Aequitas Research

Sumeet Singh

Head of Research, IPOs & Placements

IPOs and Placements coverage across Asia Pacific

Aequitas Research

We cover all listing across the Asia Pacific along with follow-up placements. As of Dec 2020, our team had covered 539 IPOs with a hit rate of 73.5% and 685 placements with a hit rate of 66.8%.

We combine fundamental bottom-up views with our proprietary quantitative framework to provide a holistic coverage across new listings and placements. Our coverage includes pre-IPO notes before the deal is launched, follow-up analysis once the deal is live and post-listing trading analysis as well.

Equity Capital Markets

Anjuke, a real estate information and transaction service provider, is looking to raise around US$1bn in its Hong Kong listing. The company is a division of 58.com which was privatised in 2020 and is now being spun out as its real estate division.It provides online marketing services for new and existing properties under Anjuke and 50 Real Estate brands.  It also operates Aifang, a new property transaction services platform that facilitates developers’ new property sales through brokerage brands and agents. Anjuke also provides property brokerage brands and agents with its cloud-native, purpose-built SaaS solutions through Qiaofang,Based on iResearch’s report, the company was the market leader by average mobile monthly active users (MAU) in 4Q20 at 67m. As of Dec 20, it had over 726,000 paying agents on its platform. Anjuke was also the leader in online marketing service revenue in 2020 with 66.8% market share.Its financial performance has been sort of a mixed bag with Anjuke reporting 21.9% YoY growth in revenue in FY19, 17.6% growth in gross profit, 23% growth in EBITDA and 21% increase in PATMI. However, in FY20, revenue growth slowed down to 6.24% YoY and even though the company managed to grow its gross profit by 7.8%, EBITDA was down 9% YoY, while PATMI was down 15% YoY.In addition, there are also related parties and other issues that one needs to be aware of.

Anjuke, a real estate information and transaction service provider, is looking to raise around US$1bn in its Hong Kong listing. The company is a division of 58.com which was privatised in 2020 and is now being spun out as its real estate division.It provides online marketing services for new and existing properties under Anjuke and 50 Real Estate brands.  It also operates Aifang, a new property transaction services platform that facilitates developers’ new property sales through brokerage brands and agents. Anjuke also provides property brokerage brands and agents with its cloud-native, purpose-built SaaS solutions through Qiaofang,Based on iResearch’s report, the company was the market leader by average mobile monthly active users (MAU) in 4Q20 at 67m. As of Dec 20, it had over 726,000 paying agents on its platform. Anjuke was also the leader in online marketing service revenue in 2020 with 66.8% market share.Its financial performance has been sort of a mixed bag with Anjuke reporting 21.9% YoY growth in revenue in FY19, 17.6% growth in gross profit, 23% growth in EBITDA and 21% increase in PATMI. However, in FY20, revenue growth slowed down to 6.24% YoY and even though the company managed to grow its gross profit by 7.8%, EBITDA was down 9% YoY, while PATMI was down 15% YoY.In addition, there are also related parties and other issues that one needs to be aware of.

Anjuke Pre-IPO - Mixed (Positive and Negative) Developments

Macrotech Developers / Equity Capital Markets

<div>
Macrotech Developers (Lodha) raised around US$345m in its India IPO and will start trading later today.
<ul>
<li>We have looked at its previous listing attempt and various aspects of the deal in our prior notes: <a href="https://www.smartkarma.com/insights/lodha-developers-pre-ipo-second-time-lucky-but-not-really-that-much-affordable" target="_blank" rel="noopener">Lodha Developers Pre-IPO - Second Time Lucky but Not Really that Much Affordable</a>.</li>
<li><a href="https://www.smartkarma.com/insights/macrotech-lodha-developers-pre-ipo-new-name-but-up-to-some-of-the-same-old-tricks" target="_blank" rel="noopener">Macrotech (Lodha) developers Pre-IPO - New name but up to some of the same old tricks</a></li>
<li><a href="https://www.smartkarma.com/insights/macrotech-lodha-developers-ipo-one-too-many-issues" target="_blank" rel="noopener">Macrotech (Lodha) Developers IPO - One Too Many Issues</a></li>
</ul>
In this note, we'll talk about deal updates.
</div>


Macrotech Developers (Lodha) raised around US$345m in its India IPO and will start trading later today.

We have looked at its previous listing attempt and various aspects of the deal in our prior notes: Lodha Developers Pre-IPO - Second Time Lucky but Not Really that Much Affordable.
Macrotech (Lodha) developers Pre-IPO - New name but up to some of the same old tricks
Macrotech (Lodha) Developers IPO - One Too Many Issues

In this note, we'll talk about deal updates.


Macrotech (Lodha) Developers IPO Trading - Locals, Including Employees, Give It a Miss

Pan-Asia Index Rebalances/ Events/ Delta One, Periscope Analytics

Brian Freitas

Pan-Asia Index Rebalances/ Events/ Delta One

Event-Driven

Haidilao International Holding / Event-Driven

The Hang Seng Indexes Company Limited (HSIL) announced the results of its review of the Hang Seng Family of Indexes post market close on 26 February. The constituent changes will be effective after the close of trading on 12 March.For the <a href="https://www.smartkarma.com/entities/hong-kong-hang-seng-index" target="_blank" data-smartkarma-citation="entities:22899:1" rel="noopener">Hong Kong Hang Seng Index (HSI INDEX)</a>, there are 3 inclusions - <a href="https://www.smartkarma.com/entities/alibaba-health-information-technology-ltd" target="_blank" data-smartkarma-citation="entities:453:1" rel="noopener">Alibaba Health Information Technology (241 HK)</a>, <a href="https://www.smartkarma.com/entities/longfor-properties" target="_blank" data-smartkarma-citation="entities:8149:1" rel="noopener">Longfor Properties (960 HK)</a> and <a href="https://www.smartkarma.com/entities/haidilao-international-holding-ltd" target="_blank" data-smartkarma-citation="entities:27044:1" rel="noopener">Haidilao (6862 HK)</a>. This takes the number of index constituents to 55 and sets the stage for a further increase in the number of stocks as a part of the market consultation, the conclusions of which are to be announced on 1 March.One-way turnover is estimated at 2.65% and will result in a one-way trade of HK$6.08bn. The highest impact is on <a href="https://www.smartkarma.com/entities/longfor-properties" target="_blank" data-smartkarma-citation="entities:8149:1" rel="noopener">Longfor Properties (960 HK)</a> while the impact on <a href="https://www.smartkarma.com/entities/alibaba-health-information-technology-ltd" target="_blank" data-smartkarma-citation="entities:453:1" rel="noopener">Alibaba Health Information Technology (241 HK)</a> and <a href="https://www.smartkarma.com/entities/haidilao-international-holding-ltd" target="_blank" data-smartkarma-citation="entities:27044:1" rel="noopener">Haidilao (6862 HK)</a> is lower, though still substantial.There are only 10 trading days to implementation of the changes, so the three stocks should move up on Monday and outperform their peers till implementation date.Hang Seng Indexes is scheduled to announce the conclusions of the market consultation on Monday, 1 March and there will be a lot more changes to the index. These changes should commence at the June 2021 review and will most likely be implemented in 4 tranches, concluding at the March 2022 review.

The Hang Seng Indexes Company Limited (HSIL) announced the results of its review of the Hang Seng Family of Indexes post market close on 26 February. The constituent changes will be effective after the close of trading on 12 March.For the Hong Kong Hang Seng Index (HSI INDEX), there are 3 inclusions - Alibaba Health Information Technology (241 HK), Longfor Properties (960 HK) and Haidilao (6862 HK). This takes the number of index constituents to 55 and sets the stage for a further increase in the number of stocks as a part of the market consultation, the conclusions of which are to be announced on 1 March.One-way turnover is estimated at 2.65% and will result in a one-way trade of HK$6.08bn. The highest impact is on Longfor Properties (960 HK) while the impact on Alibaba Health Information Technology (241 HK) and Haidilao (6862 HK) is lower, though still substantial.There are only 10 trading days to implementation of the changes, so the three stocks should move up on Monday and outperform their peers till implementation date.Hang Seng Indexes is scheduled to announce the conclusions of the market consultation on Monday, 1 March and there will be a lot more changes to the index. These changes should commence at the June 2021 review and will most likely be implemented in 4 tranches, concluding at the March 2022 review.

Hang Seng Index Rebalance: Three Adds; Market Consultation Conclusions on 1 March

Equity Research in HK and Mainland China

Li Tang

Thematic (Sector/Industry)

Vice-Premier Liu He wrote an article in the people's Daily on China's 'dual circulation' strategy on Wednesday in which he noted that the real estate industry influences investment and consumption, and is connected to people's livelihoods and development. Liu's speech maintains existing top-level property policy, but at the same time relates property to investment and consumption, implying that property policy setting could be considered jointly with investment and consumption targets. This suggests a more pragmatic approach towards property policy weighting up risks against growth benefits.
Rumour spread in the market that regulator will tighten the trust funding quota approved due to a risk concern, fears were quick to emerge of a liquidity squeeze for some of China's indebted developer, causing its shares and bonds to tumble. However, in the last week we have seen several cities such as Harbin in last week issuing the policy to support property sales. Those can be seen as policy support for the sector.

Vice-Premier Liu He wrote an article in the people's Daily on China's 'dual circulation' strategy on Wednesday in which he noted that the real estate industry influences investment and consumption, and is connected to people's livelihoods and development. Liu's speech maintains existing top-level property policy, but at the same time relates property to investment and consumption, implying that property policy setting could be considered jointly with investment and consumption targets. This suggests a more pragmatic approach towards property policy weighting up risks against growth benefits.
Rumour spread in the market that regulator will tighten the trust funding quota approved due to a risk concern, fears were quick to emerge of a liquidity squeeze for some of China's indebted developer, causing its shares and bonds to tumble. However, in the last week we have seen several cities such as Harbin in last week issuing the policy to support property sales. Those can be seen as policy support for the sector.

China's Real Estate Sector to Be Tightened

Hong Kong

China Resources Land Limited, through its subsidiaries, develops and invests in properties.  The Company also provides corporate financing and electrical engineering services.

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China Resources Land (1109 HK)

Screening for GEMs: May 2021

This insight provides an overview of our proprietary GEM screening model which is based on a multifactor screening model, a Deep Neural Network...

Wium Malan, CFA

Anjuke Pre-IPO - Mixed (Positive and Negative) Developments

Anjuke, a real estate information and transaction service provider, is looking to raise around US$1bn in its Hong Kong listing. The company is a...

Sumeet Singh

Macrotech (Lodha) Developers IPO Trading - Locals, Including Employees, Give It a Miss

Macrotech Developers (Lodha) raised around US$345m in its India IPO and will start trading later today. In this note, we'll talk about the trading...

Sumeet Singh

Hang Seng Index Rebalance: Three Adds; Market Consultation Conclusions on 1 March

There are 3 inclusions to the HSI - Ali Health, Longfor Prop and Haidilao. With 10 days to implementation, the stocks should outperform....

Brian Freitas

China's Real Estate Sector to Be Tightened

Overall property policies lean towards tightening.The change will constrain highly leveraged developers mostly but providing opportunities for...

Li Tang

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