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

*Quarter Highlighted By Weak Credit: Ping An Bank (000001.CH) [PAB], the Ping An Insurance (2318.HK) [Ping An] banking subsidiary, reported 3Q21 results of CNY 11.7 bn – increasing CNY 4.1 bn (55.0%). Don’t shoot off the streamers just yet, credit quality was abysmal and Ping An is seemingly pulling on its bank lever to offset what looks to be another quarter self-inflicted harm  within its investment portfolio;  and *Credit Challenges: By our analysis, we find that credit remains incredibly challenged as net new NPLs are now accelerating at Indian bank pace of CNY 12.4 bn or 159.8% annualized.  Assuming the accelerated credit break in the PAB portfolio continues to remain at its current level, we find that PAB’s reserves remain CNY 19 bn light.

*Quarter Highlighted By Weak Credit: Ping An Bank (000001.CH) [PAB], the Ping An Insurance (2318.HK) [Ping An] banking subsidiary, reported 3Q21 results of CNY 11.7 bn – increasing CNY 4.1 bn (55.0%). Don’t shoot off the streamers just yet, credit quality was abysmal and Ping An is seemingly pulling on its bank lever to offset what looks to be another quarter self-inflicted harm  within its investment portfolio;  and *Credit Challenges: By our analysis, we find that credit remains incredibly challenged as net new NPLs are now accelerating at Indian bank pace of CNY 12.4 bn or 159.8% annualized.  Assuming the accelerated credit break in the PAB portfolio continues to remain at its current level, we find that PAB’s reserves remain CNY 19 bn light.

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

Brian Freitas

Pan-Asia Index Rebalances/ Events/ Delta One

Event-Driven

The Ping An A-shares <a href="https://www.smartkarma.com/entities/ping-an-insurance-group-co-of-china" target="_blank" data-smartkarma-citation="entities:24682:1" rel="noopener">Ping An Insurance Group Co Of China (601318 CH)</a> are trading at a 11% premium to the H-shares <a href="https://www.smartkarma.com/entities/ping-an-insurance-grp-co-of-china-ltd" target="_blank" data-smartkarma-citation="entities:12880:1" rel="noopener">Ping An Insurance (H) (2318 HK)</a>. This continues the cycle of premiums and discounts going back to 2015.The last time the A-shares traded at a premium this large to the H-shares was in December last year. By mid to late January, the A-shares were trading near parity versus the H-shares.With <a href="https://www.smartkarma.com/entities/ping-an-insurance-group-co-of-china" target="_blank" data-smartkarma-citation="entities:24682:1" rel="noopener">Ping An Insurance Group Co Of China (601318 CH)</a> trading at a 11% premium to <a href="https://www.smartkarma.com/entities/ping-an-insurance-grp-co-of-china-ltd" target="_blank" data-smartkarma-citation="entities:12880:1" rel="noopener">Ping An Insurance (H) (2318 HK)</a> the risk/reward is favourable to setting up a premium contraction trade. The current premium lies at the 95th percentile over the last 5 years and the premium has widened faster than that of the HSAHP Index.Northbound and Southbound Stock Connect holdings of <a href="https://www.smartkarma.com/entities/ping-an-insurance-group-co-of-china" target="_blank" data-smartkarma-citation="entities:24682:1" rel="noopener">Ping An Insurance Group Co Of China (601318 CH)</a> and <a href="https://www.smartkarma.com/entities/ping-an-insurance-grp-co-of-china-ltd" target="_blank" data-smartkarma-citation="entities:12880:1" rel="noopener">Ping An Insurance (H) (2318 HK)</a> have dropped sharply over the last couple of months, though there has been an uptick over the last couple of weeks.In this Insight, we look at the historical premium for Ping An and compare it to the premium on the AH index and other large caps, and look at some catalysts that could lead to an contraction of the premium.

The Ping An A-shares Ping An Insurance Group Co Of China (601318 CH) are trading at a 11% premium to the H-shares Ping An Insurance (H) (2318 HK). This continues the cycle of premiums and discounts going back to 2015.The last time the A-shares traded at a premium this large to the H-shares was in December last year. By mid to late January, the A-shares were trading near parity versus the H-shares.With Ping An Insurance Group Co Of China (601318 CH) trading at a 11% premium to Ping An Insurance (H) (2318 HK) the risk/reward is favourable to setting up a premium contraction trade. The current premium lies at the 95th percentile over the last 5 years and the premium has widened faster than that of the HSAHP Index.Northbound and Southbound Stock Connect holdings of Ping An Insurance Group Co Of China (601318 CH) and Ping An Insurance (H) (2318 HK) have dropped sharply over the last couple of months, though there has been an uptick over the last couple of weeks.In this Insight, we look at the historical premium for Ping An and compare it to the premium on the AH index and other large caps, and look at some catalysts that could lead to an contraction of the premium.

Ping An A/​H: Discount Turns to a BIG Premium

*Shenjing Fell Apart Before Evergrande Heated Up: Even prior to the China Evergrande Group (3333.HK) debacle, Shenjing Bank was (2066.HK) [Shenjing] struggling: 1) core operating earnings (excluding gains) were a negative CNY 1.1 tn at 1H21, by our calculation; and 2) short-term liquidity deteriorated at an unprecedented pace. With Evergrande’s risk, we calculate Shenjing’s NPLs are now closer to a whopping 24.4% - and solvency is called into question; and  *Evergrande’s Smartest Move Ever: The rest of the financial system figured out that Shenjing was an accident waiting to happen, with the interbank market cutting their risk. Despite this, Shengjing Finance Holdings (SFH) purchased Evergrande’s 19.93% stake – becoming the bank’s largest shareholder. For USD 1.55 bn, SFH has now absolved Evergrande of being a liquidity and capital backstop. Well done!

*Shenjing Fell Apart Before Evergrande Heated Up: Even prior to the China Evergrande Group (3333.HK) debacle, Shenjing Bank was (2066.HK) [Shenjing] struggling: 1) core operating earnings (excluding gains) were a negative CNY 1.1 tn at 1H21, by our calculation; and 2) short-term liquidity deteriorated at an unprecedented pace. With Evergrande’s risk, we calculate Shenjing’s NPLs are now closer to a whopping 24.4% - and solvency is called into question; and  *Evergrande’s Smartest Move Ever: The rest of the financial system figured out that Shenjing was an accident waiting to happen, with the interbank market cutting their risk. Despite this, Shengjing Finance Holdings (SFH) purchased Evergrande’s 19.93% stake – becoming the bank’s largest shareholder. For USD 1.55 bn, SFH has now absolved Evergrande of being a liquidity and capital backstop. Well done! 

China Evergrande Group – Shoes Dropping At Shenjing

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

<div>
In this analysis, we provide a detailed overview of investor positioning among 96 active Asia Ex-Japan funds with combined AUM of $80bn.  Highlights:
</div>
<div>
<ul style="list-style-type: disc;">
<li>The big four of China &amp; HK, Taiwan, South Korea and India dominate holdings in Asia Ex-Japan.  The 4 countries combined account for 85.4% of total allocations, though all but India are held underweight versus the MSCI Asia Ex-Japan index.</li>
<li>China &amp; HK's weight in Asia Ex-Japan funds stands at a 4-year low of 42.96% having fallen heavily from the high of 52% back in August 2020.</li>
<li>Allocations in Indian stocks hit a new all-time high last month of 13.54%.  India has been the go-to overweight holding since the election of Narendra Modi in 2014, though managers are much more closely aligned to benchmark today.</li>
<li>
Indonesian allocations are close to their lowest levels on record.  Only 82.8% of the Asia Ex-Japan managers in our analysis have exposure to Indonesia,  with Comgest, Barings and Vontobel closing exposure over the last 6-months.
</li>
<li>Information Technology dominates the holdings picture, being both the largest sector holding and the largest sector overweight by some distance.  Opposing this are net underweights in Health Care (-1.61%), Materials (-1.25%) and Financials (-1.17%). </li>
<li>The key antagonist in China's tech crackdown, Consumer Discretionary weights have fallen from a high of 21.35% in October 2020 to 16.84% today.  In tandem, active managers have moved from an overweight of 2.18% to an underweight of -0.12%.  Confidence has certainly taken a knock.</li>
</ul>
Also analyzed in more detail:  Thailand, Health Care, Indian Financials, South Korean Consumer Staples, China Financials, <a href="https://www.smartkarma.com/entities/baidu-inc" target="_blank" data-smartkarma-citation="entities:179:1" rel="noopener">Baidu (BIDU US)</a> , <a href="https://www.smartkarma.com/entities/sea-ltd" target="_blank" data-smartkarma-citation="entities:8509:1" rel="noopener">Sea Ltd (SE US)</a> , <a href="https://www.smartkarma.com/entities/midea-group-co-ltd-a" target="_blank" data-smartkarma-citation="entities:16185:1" rel="noopener">Midea Group Co Ltd A (000333 CH)</a> and <a href="https://www.smartkarma.com/entities/jd-com-inc-adr" target="_blank" data-smartkarma-citation="entities:446:1" rel="noopener">JD.com Inc (ADR) (JD US).</a>
Analysis taken from our Asia Ex-Japan research, covering 96 active Asia Ex-Japan funds with combined AUM of $80bn. 
</div>


In this analysis, we provide a detailed overview of investor positioning among 96 active Asia Ex-Japan funds with combined AUM of $80bn.  Highlights:



The big four of China &amp; HK, Taiwan, South Korea and India dominate holdings in Asia Ex-Japan.  The 4 countries combined account for 85.4% of total allocations, though all but India are held underweight versus the MSCI Asia Ex-Japan index.
China &amp; HK's weight in Asia Ex-Japan funds stands at a 4-year low of 42.96% having fallen heavily from the high of 52% back in August 2020.
Allocations in Indian stocks hit a new all-time high last month of 13.54%.  India has been the go-to overweight holding since the election of Narendra Modi in 2014, though managers are much more closely aligned to benchmark today.

Indonesian allocations are close to their lowest levels on record.  Only 82.8% of the Asia Ex-Japan managers in our analysis have exposure to Indonesia,  with Comgest, Barings and Vontobel closing exposure over the last 6-months.

Information Technology dominates the holdings picture, being both the largest sector holding and the largest sector overweight by some distance.  Opposing this are net underweights in Health Care (-1.61%), Materials (-1.25%) and Financials (-1.17%). 
The key antagonist in China's tech crackdown, Consumer Discretionary weights have fallen from a high of 21.35% in October 2020 to 16.84% today.  In tandem, active managers have moved from an overweight of 2.18% to an underweight of -0.12%.  Confidence has certainly taken a knock.

Also analyzed in more detail:  Thailand, Health Care, Indian Financials, South Korean Consumer Staples, China Financials, Baidu (BIDU US) , Sea Ltd (SE US) , Midea Group Co Ltd A (000333 CH) and JD.com Inc (ADR) (JD US).
Analysis taken from our Asia Ex-Japan research, covering 96 active Asia Ex-Japan funds with combined AUM of $80bn. 


Asia Ex-Japan Positioning:  India & Tech at Record Highs

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. 

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)

Ping An Insurance – Breaking The Bank

PING AN: PAB reported 3Q21 QOQ growth of 55.0%. Credit quality was abysmal and Ping An is pulling on its bank lever to offset another quarter self...

Thomas J. Monaco

Ping An A/H: Discount Turns to a BIG Premium

Ping An A-shs are now trading at a 11% premium to the H-shs. This is in the 95th percentile and is partly driven by the buyback on A-shs. We like a...

Brian Freitas

China Evergrande Group – Shoes Dropping At Shenjing

EVERGRANDE: Before the Evergrande debacle, Shenjing posted core operating losses and liquidity stress. Despite this, Shengjing Finance absolved...

Thomas J. Monaco

Asia Ex-Japan Positioning: India & Tech at Record Highs

In this analysis, we provide a detailed overview of investor positioning among 96 active Asia Ex-Japan funds with combined AUM of $80bn.

Steven Holden

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

Price Gauge

52-week Range

Market Cap (USDm)

P/E

Dividend (Yield)

Ping An Insurance – Breaking The Bank

PING AN: PAB reported 3Q21 QOQ growth of 55.0%. Credit quality was abysmal and Ping An is pulling on its bank lever to offset another quarter self...

Thomas J. Monaco

Ping An A/​H: Discount Turns to a BIG Premium

Ping An A-shs are now trading at a 11% premium to the H-shs. This is in the 95th percentile and is partly driven by the buyback on A-shs. We like a...

Brian Freitas

China Evergrande Group – Shoes Dropping At Shenjing

EVERGRANDE: Before the Evergrande debacle, Shenjing posted core operating losses and liquidity stress. Despite this, Shengjing Finance absolved...

Thomas J. Monaco

Asia Ex-Japan Positioning: India & Tech at Record Highs

In this analysis, we provide a detailed overview of investor positioning among 96 active Asia Ex-Japan funds with combined AUM of $80bn.

Steven Holden

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

Ping An A/H: Discount Turns to a BIG Premium