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, 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 a host of energy plays (<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/lukoil-pjsc-2bfe0130-461e-4ff3-af12-93bec12e6325" target="_blank" data-smartkarma-citation="entities:27148:1" rel="noopener">LUKOIL (LKOH RM)</a>, <a href="https://www.smartkarma.com/entities/ptt-pcl" target="_blank" data-smartkarma-citation="entities:197:1" rel="noopener">PTT PCL (PTT TB)</a>,  and <a href="https://www.smartkarma.com/entities/cnooc-ltd" target="_blank" data-smartkarma-citation="entities:175:1" rel="noopener">CNOOC Ltd (883 HK)</a>) as well as a return for South African banking group <a href="https://www.smartkarma.com/entities/firstrand-ltd" target="_blank" data-smartkarma-citation="entities:24971:1" rel="noopener">FirstRand Ltd (FSR SJ)</a>, and a recovery call for Chinese online gaming powerhouse <a href="https://www.smartkarma.com/entities/netease" target="_blank" data-smartkarma-citation="entities:29030:1" rel="noopener">NetEase (9999 HK)</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>
<a href="https://www.smartkarma.com/entities/gazprom-pjsc-6a7231a9-d5e4-4da4-bf21-aa1b9d50fbf8" target="_blank" data-smartkarma-citation="entities:27578:1" rel="noopener">Gazprom PJSC (GAZP RM)</a> </td>
<td>Energy</td>
<td>Russian Federation</td>
<td style="text-align: center;">12</td>
</tr>
<tr>
<td style="text-align: center;">2</td>
<td>
<a href="https://www.smartkarma.com/entities/lukoil-pjsc-2bfe0130-461e-4ff3-af12-93bec12e6325" target="_blank" data-smartkarma-citation="entities:27148:1" rel="noopener">LUKOIL (LKOH RM)</a> </td>
<td>Energy</td>
<td>Russian Federation</td>
<td style="text-align: center;">28</td>
</tr>
<tr>
<td style="text-align: center;">3</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;">30</td>
</tr>
<tr>
<td style="text-align: center;">4</td>
<td>
<a href="https://www.smartkarma.com/entities/china-resources-land-ltd" target="_blank" data-smartkarma-citation="entities:418:1" rel="noopener">China Resources Land (1109 HK)</a> </td>
<td>Real Estate</td>
<td>China</td>
<td style="text-align: center;">5</td>
</tr>
<tr>
<td style="text-align: center;">5</td>
<td>
<a href="https://www.smartkarma.com/entities/netease" target="_blank" data-smartkarma-citation="entities:29030:1" rel="noopener">NetEase (9999 HK)</a> </td>
<td>Communication</td>
<td>China</td>
<td style="text-align: center;">47</td>
</tr>
<tr>
<td style="text-align: center;">6</td>
<td>
<a href="https://www.smartkarma.com/entities/firstrand-ltd" target="_blank" data-smartkarma-citation="entities:24971:1" rel="noopener">FirstRand Ltd (FSR SJ)</a> </td>
<td>Financials</td>
<td>South Africa</td>
<td style="text-align: center;">68</td>
</tr>
<tr>
<td style="text-align: center;">7</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;">25</td>
</tr>
<tr>
<td style="text-align: center;">8</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;">51</td>
</tr>
<tr>
<td style="text-align: center;">9</td>
<td>
<a href="https://www.smartkarma.com/entities/mmc-norilsk-nickel-pjsc-dcb09449-eb24-4747-b1c9-77fbf35e8398" target="_blank" data-smartkarma-citation="entities:33242:1" rel="noopener">MMC Norilsk Nickel PJSC (GMKN RX)</a> </td>
<td>Materials</td>
<td>Russian Federation</td>
<td style="text-align: center;">22</td>
</tr>
<tr>
<td style="text-align: center;">10</td>
<td>
<a href="https://www.smartkarma.com/entities/new-oriental-education-technology-group" target="_blank" data-smartkarma-citation="entities:32210:1" rel="noopener">New Oriental Education &amp; Technology Group (9901 HK)</a> </td>
<td>Consumer Discretionary</td>
<td>China</td>
<td style="text-align: center;">3</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, 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 a host of energy plays (Gazprom PJSC (GAZP RX), LUKOIL (LKOH RM), PTT PCL (PTT TB),  and CNOOC Ltd (883 HK)) as well as a return for South African banking group FirstRand Ltd (FSR SJ), and a recovery call for Chinese online gaming powerhouse NetEase (9999 HK).









rank
Name
Sector
Location
prev.


1

Gazprom PJSC (GAZP RM) 
Energy
Russian Federation
12


2

LUKOIL (LKOH RM) 
Energy
Russian Federation
28


3

PTT PCL (PTT TB) 
Energy
Thailand
30


4

China Resources Land (1109 HK) 
Real Estate
China
5


5

NetEase (9999 HK) 
Communication
China
47


6

FirstRand Ltd (FSR SJ) 
Financials
South Africa
68


7

CNOOC Ltd (883 HK) 
Energy
China
25


8

Bank Of China Ltd (H) (3988 HK) 
Financials
China
51


9

MMC Norilsk Nickel PJSC (GMKN RX) 
Materials
Russian Federation
22


10

New Oriental Education &amp; Technology Group (9901 HK) 
Consumer Discretionary
China
3

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. 

Silver Point

Thomas J. Monaco

Independent Insight Provider

Silver Point is a boutique research firm that focuses on the broader financial services sector, with a particular focus on troubled institutions globally. 

Asia Ex Japan

Equity Bottom-Up

*Weaker Quarter: Industrial and Commercial Bank of China (1398.HK) [ICBC] reported 2Q21 bottom-line results of CNY 77.7 bn, decreasing CNY 8.0 bn or 9.3% linked quarter. The linked quarter weakness, in our view, can be attributed to negative operating jaws as costs increased CNY 9.4 bn (14.8%) and revenues declined CNY 589 mn (0.3%); and*Credit Risk Continues to Rise: The level of net new NPLs increased 46.4% on annualized basis and remains elevated. When one considers the break-down in credit quality, reserves would appear to be light – in the neighborhood of CNY 86.1 bn, amounting to about one quarter of pre-tax results at ICBC.

*Weaker Quarter: Industrial and Commercial Bank of China (1398.HK) [ICBC] reported 2Q21 bottom-line results of CNY 77.7 bn, decreasing CNY 8.0 bn or 9.3% linked quarter. The linked quarter weakness, in our view, can be attributed to negative operating jaws as costs increased CNY 9.4 bn (14.8%) and revenues declined CNY 589 mn (0.3%); and*Credit Risk Continues to Rise: The level of net new NPLs increased 46.4% on annualized basis and remains elevated. When one considers the break-down in credit quality, reserves would appear to be light – in the neighborhood of CNY 86.1 bn, amounting to about one quarter of pre-tax results at ICBC.   

Industrial and Commercial Bank of China – Negative Jaws Pressure Results

Postal Savings Bank of China C / Equity Bottom-Up

*Excess Provisioning Eats Away At 2Q21 Results: Established in 2007, Postal Savings Bank of China (1658.HK) [PSB] is mainland China’s youngest large commercial bank. PSB reported 2Q21 bottom-line results of CNY 19.9 bn – declining CNY 1.4 bn (6.6%) linked quarter. Excluding gains, PSB’s core operating results declined CNY 6.0 bn (36.0%) over the period. Results were impacted by significantly higher loss provisions and negative operating jaws; and
*Credit Quality Turns, But Reserves More Than Adequate: Net new NPLs increased CNY 14.9 bn and equate to an elevated 116.6% annualized – quite the difference from the CNY 9.3 bn or 18.4% annualized posted at year-end. Despite the accelerated increase in net new NPLs, it would appear that PSB’s reserves exceed known and potential credit risk to the tune of CNY 89.5 bn or over a year of pre-tax profits – begging the question of why the increase in loss provisions?

*Excess Provisioning Eats Away At 2Q21 Results: Established in 2007, Postal Savings Bank of China (1658.HK) [PSB] is mainland China’s youngest large commercial bank. PSB reported 2Q21 bottom-line results of CNY 19.9 bn – declining CNY 1.4 bn (6.6%) linked quarter. Excluding gains, PSB’s core operating results declined CNY 6.0 bn (36.0%) over the period. Results were impacted by significantly higher loss provisions and negative operating jaws; and
*Credit Quality Turns, But Reserves More Than Adequate: Net new NPLs increased CNY 14.9 bn and equate to an elevated 116.6% annualized – quite the difference from the CNY 9.3 bn or 18.4% annualized posted at year-end. Despite the accelerated increase in net new NPLs, it would appear that PSB’s reserves exceed known and potential credit risk to the tune of CNY 89.5 bn or over a year of pre-tax profits – begging the question of why the increase in loss provisions?

Postal Savings Bank of China – Way Too Conservative

*Bank Results Decline Linked Quarter: Ping An Bank (000001.CH) [PAB], the Ping An Insurance (2318.HK) [Ping An] banking subsidiary, continues to feel the challenges of a slowing mainland Chinese economy. For 2Q21, PAB reported results of CNY 7.5 bn – decreasing CNY 2.7 bn (26.4%) linked quarter. From our vantage point, higher loss provisions and weaker net interest income weighed heavily on results; and*Negative Credit Delta Could Accelerate Capital Raise: By our analysis, we find that credit remains incredibly challenged as net new NPLs have accelerated 102.2% annualized - up from 53.6% in 1Q21. Assuming the accelerated credit break in the PAB portfolio continues to remain at its current level, we find that PAB’s reserves still remain quite light by CNY 16 bn. This shortfall represents about two quarter of pre-tax earnings.

*Bank Results Decline Linked Quarter: Ping An Bank (000001.CH) [PAB], the Ping An Insurance (2318.HK) [Ping An] banking subsidiary, continues to feel the challenges of a slowing mainland Chinese economy. For 2Q21, PAB reported results of CNY 7.5 bn – decreasing CNY 2.7 bn (26.4%) linked quarter. From our vantage point, higher loss provisions and weaker net interest income weighed heavily on results; and*Negative Credit Delta Could Accelerate Capital Raise: By our analysis, we find that credit remains incredibly challenged as net new NPLs have accelerated 102.2% annualized - up from 53.6% in 1Q21. Assuming the accelerated credit break in the PAB portfolio continues to remain at its current level, we find that PAB’s reserves still remain quite light by CNY 16 bn. This shortfall represents about two quarter of pre-tax earnings.   

Ping An Insurance – Credit Mixed, But Still Worrisome

China Merchants Bank H / Equity Bottom-Up

*2Q21 Bottom-Line Sees Cracks: China Merchants Bank (3968.HK) [CMB] reported 2Q21 results of CNY 29.1 bn, decreasing CNY 2.9 bn (9.0%) linked quarter, driven by negative operating jaws, a decline net fees and commissions, and higher provisions, tracking weaker credit quality; and *Credit Wall of Worry Continues To Grow: Net new problem loans continue to accelerate at an Indian bank pace of CNY 20.3 bn or 150.2% annualized versus CNY 18.9 bn or 138.5% at 1Q21. Although CMB’s reserve cover still remains quite robust, the net new NPL ratio trajectory suggests that reserve cover of NPLs will drop to something more in line with a typical mainland Chinese bank.

*2Q21 Bottom-Line Sees Cracks: China Merchants Bank (3968.HK) [CMB] reported 2Q21 results of CNY 29.1 bn, decreasing CNY 2.9 bn (9.0%) linked quarter, driven by negative operating jaws, a decline net fees and commissions, and higher provisions, tracking weaker credit quality; and *Credit Wall of Worry Continues To Grow: Net new problem loans continue to accelerate at an Indian bank pace of CNY 20.3 bn or 150.2% annualized versus CNY 18.9 bn or 138.5% at 1Q21. Although CMB’s reserve cover still remains quite robust, the net new NPL ratio trajectory suggests that reserve cover of NPLs will drop to something more in line with a typical mainland Chinese bank.

China Merchants Bank – Now Negative Operating Jaws

China

Bank of China Limited provides banking services. The Company offers deposits, loans, foreign currency transaction, fund settlement, and other services. Bank of China provides its services to individuals, enterprises, and other clients.

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Bank of China (601988 CH)

Screening for GEMs: September 2021

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

Industrial and Commercial Bank of China – Negative Jaws Pressure Results

ICBC: ICBC reported a QOQ 2Q21 bottom-line decline of 9.3% due to negative operating jaws. The level of net new NPLs increased 46.4% annualized...

Thomas J. Monaco

Postal Savings Bank of China – Way Too Conservative

POSTAL SAVINGS BANK: PSB's 2Q21QOQ core result increased 36.0% due to higher loss provisions and negative jaws. Despite the increase in net new...

Thomas J. Monaco

Ping An Insurance – Credit Mixed, But Still Worrisome

PING AN INSURANCE: Ping An Bank reported a 26.4% QOQ results decline for 2Q21 reflecting higher provisions. Credit is challenged as net new NPLs...

Thomas J. Monaco

China Merchants Bank – Now Negative Operating Jaws

CHINA MERCHANTS BANK: CMB reported QOQ 2Q21 results decline of 9.0% driven by negative operating jaws, a decline net fees and commissions, and...

Thomas J. Monaco

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