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>
<p>In this analysis, we provide a detailed overview of investor positioning among 96 active Asia Ex-Japan funds with combined AUM of $80bn.  Highlights:</p>
</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>
<p>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.</p>
</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>
<p>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></p>
<p><em>Analysis taken from our Asia Ex-Japan research, covering 96 active Asia Ex-Japan funds with combined AUM of $80bn. </em></p>
</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

Forensic Analyst

Jason Yap, CFA

Forensic Accounting

<p>The “<em>double reduction</em>” crackdown on K9 after school tutoring ("AST") that covers primary and middle school curriculums has inflicted major pain on the USD38 billion industry. With the original aim of easing student pressure inside and outside school, it has led to unintended consequences of tutor layoffs, early lease terminations, and fresh anxiety among parents on how to occupy their children's available after school time.</p>
<p>The regulations also shook the confidence of AST investors and enterprises. Weak hands folded by shutting operations, filing for bankruptcy and/or exiting investments while industry leaders with a stronger cash position frown over the best approach to pivot operations.</p>
<p>For industry leaders like <a href="https://www.smartkarma.com/entities/new-oriental-education-tech-grp-adr" target="_blank" data-smartkarma-citation="entities:531:1" rel="noopener">New Oriental Education (EDU US)</a> and <a href="https://www.smartkarma.com/entities/tal-education-group" target="_blank" data-smartkarma-citation="entities:1124:1" rel="noopener">TAL Education (TAL US)</a>, revenues generated from K9 academic tutoring comprise between 50% to 80% of total revenues. Hence, there is a direct material impact on forward revenue and earnings.  In addition, they will incur one-time costs for, amongst others, staff severance, early lease terminations, and refund liabilities for K9 courses that can no longer be administered.  </p>
<p>In August 2021, Beijing education authorities <a href="https://www.caixinglobal.com/2021-08-16/cover-story-whats-next-for-chinas-after-school-tutoring-industry-101755589.html" target="_blank" rel="noopener">extended</a> an olive branch, highlighting that AST companies may switch to sectors that aren’t affected by the new regulations, such as high school tutoring, vocational education, all-round education and adopting hybrid business models. A similar stance might by adopted nationwide and signals (at least some) policy support for the embattled AST sector.</p>
<p>Using TAL Education as a bellwether for the AST sector, we examine the financial and accounting concerns that arise as a direct result of the new regulations. In addition, we analyse the recent exit of a key Convertible Notes investor, who has essentially capitulated in the face of execution uncertainties of TAL's pivot strategy.  Should other investors follow?</p>

The “double reduction” crackdown on K9 after school tutoring ("AST") that covers primary and middle school curriculums has inflicted major pain on the USD38 billion industry. With the original aim of easing student pressure inside and outside school, it has led to unintended consequences of tutor layoffs, early lease terminations, and fresh anxiety among parents on how to occupy their children's available after school time.
The regulations also shook the confidence of AST investors and enterprises. Weak hands folded by shutting operations, filing for bankruptcy and/or exiting investments while industry leaders with a stronger cash position frown over the best approach to pivot operations.
For industry leaders like New Oriental Education (EDU US) and TAL Education (TAL US), revenues generated from K9 academic tutoring comprise between 50% to 80% of total revenues. Hence, there is a direct material impact on forward revenue and earnings.  In addition, they will incur one-time costs for, amongst others, staff severance, early lease terminations, and refund liabilities for K9 courses that can no longer be administered.  
In August 2021, Beijing education authorities extended an olive branch, highlighting that AST companies may switch to sectors that aren’t affected by the new regulations, such as high school tutoring, vocational education, all-round education and adopting hybrid business models. A similar stance might by adopted nationwide and signals (at least some) policy support for the embattled AST sector.
Using TAL Education as a bellwether for the AST sector, we examine the financial and accounting concerns that arise as a direct result of the new regulations. In addition, we analyse the recent exit of a key Convertible Notes investor, who has essentially capitulated in the face of execution uncertainties of TAL's pivot strategy.  Should other investors follow?

TAL Education - Key Investor Capitulates, Should the Rest Follow?

Chief Economist

Diana Choyleva

Enodo Economics

Enodo Economics is an independent macroeconomic forecasting company that untangles complexity, challenges the consensus, and makes sense of the future. Our focus is on China – one of the most misunderstood economies in the world, but one of the most important to figure out.  Enodo’s chief economist, Diana Choyleva, has been analysing China for almost 20 years, while Enodo’s team boasts a combined 140 years’ experience covering China’s economy, politics and markets. 

Macroeconomics

<h2>China News That Matters</h2><ul>
<li>Wang Yi attacks Washington</li>
<li>Opium of the masses. No, not that one</li>
<li>Will China change its Covid-19 approach?</li>
<li>Not just for Olympians. Beijing demands exercise</li>
<li>Please, please have another kid</li>
</ul><div class="content-remarks"><ul style="list-style-type: none;"><li><div>In my weekly digest China News That Matters, I will give you selected summaries, sourced from a variety of local Chinese-language and international news outlets, and highlight why I think the news is significant. These posts are meant to neither be bullish nor bearish, but help you separate the signal from the noise.</div></li></ul></div>

China News That Matters
Wang Yi attacks Washington
Opium of the masses. No, not that one
Will China change its Covid-19 approach?
Not just for Olympians. Beijing demands exercise
Please, please have another kid
In my weekly digest China News That Matters, I will give you selected summaries, sourced from a variety of local Chinese-language and international news outlets, and highlight why I think the news is significant. These posts are meant to neither be bullish nor bearish, but help you separate the signal from the noise.

Sino-US/ Tech/ Covid-19/ Exercise/ Babies

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 bottom-fishing in Chinese education through <a href="https://www.smartkarma.com/entities/new-oriental-education-tech-grp-adr" target="_blank" data-smartkarma-citation="entities:531:1" rel="noopener">New Oriental Education (EDU US)</a>, Russian internet play <a href="https://www.smartkarma.com/entities/yandex-nv-a" target="_blank" data-smartkarma-citation="entities:414:1" rel="noopener">Yandex (YNDX US)</a>, Brazilian beverages giant <a href="https://www.smartkarma.com/entities/ambev-sa" target="_blank" data-smartkarma-citation="entities:24454:1" rel="noopener">Ambev SA (ABEV3 BZ)</a>, and a rebound call on <a href="https://www.smartkarma.com/entities/tencent-holdings-ltd" target="_blank" data-smartkarma-citation="entities:26:1" rel="noopener">Tencent (700 HK)</a>.</p><table class="table table-striped">
<colgroup>
<col>
<col>
<col>
<col>
<col>
</colgroup>
<tbody>
<tr>
<td style="text-align: center; width: 74.9062px;">rank</td>
<td style="width: 262.578px;">Name</td>
<td style="width: 185.766px;">Sector</td>
<td style="width: 147.797px;">Location</td>
<td style="text-align: center; width: 74.9531px;">prev.</td>
</tr>
<tr>
<td style="text-align: center; width: 74.9062px;">1</td>
<td style="width: 262.578px;">
<a href="https://www.smartkarma.com/entities/tata-consultancy-svcs-ltd" target="_blank" data-smartkarma-citation="entities:18708:1" rel="noopener">Tata Consultancy Svcs (TCS IN)</a> </td>
<td style="width: 185.766px;">Information Technology</td>
<td style="width: 147.797px;">India</td>
<td style="text-align: center; width: 74.9531px;">19</td>
</tr>
<tr>
<td style="text-align: center; width: 74.9062px;">2</td>
<td style="width: 262.578px;">
<a href="https://www.smartkarma.com/entities/shenzhou-intl-group-holdings-ltd" target="_blank" data-smartkarma-citation="entities:10415:1" rel="noopener">Shenzhou Intl Group Holdings (2313 HK)</a> </td>
<td style="width: 185.766px;">Consumer Discretionary</td>
<td style="width: 147.797px;">China</td>
<td style="text-align: center; width: 74.9531px;">12</td>
</tr>
<tr>
<td style="text-align: center; width: 74.9062px;">3</td>
<td style="width: 262.578px;">
<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 style="width: 185.766px;">Consumer Discretionary</td>
<td style="width: 147.797px;">China</td>
<td style="text-align: center; width: 74.9531px;">92</td>
</tr>
<tr>
<td style="text-align: center; width: 74.9062px;">4</td>
<td style="width: 262.578px;">
<a href="https://www.smartkarma.com/entities/yandex-nv-a" target="_blank" data-smartkarma-citation="entities:414:1" rel="noopener">Yandex (YNDX US)</a> </td>
<td style="width: 185.766px;">Communication</td>
<td style="width: 147.797px;">Russian Federation</td>
<td style="text-align: center; width: 74.9531px;">88</td>
</tr>
<tr>
<td style="text-align: center; width: 74.9062px;">5</td>
<td style="width: 262.578px;">
<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 style="width: 185.766px;">Real Estate</td>
<td style="width: 147.797px;">China</td>
<td style="text-align: center; width: 74.9531px;">33</td>
</tr>
<tr>
<td style="text-align: center; width: 74.9062px;">6</td>
<td style="width: 262.578px;">
<a href="https://www.smartkarma.com/entities/ambev-sa" target="_blank" data-smartkarma-citation="entities:24454:1" rel="noopener">Ambev SA (ABEV3 BZ)</a> </td>
<td style="width: 185.766px;">Consumer Staples</td>
<td style="width: 147.797px;">Brazil</td>
<td style="text-align: center; width: 74.9531px;">56</td>
</tr>
<tr>
<td style="text-align: center; width: 74.9062px;">7</td>
<td style="width: 262.578px;">
<a href="https://www.smartkarma.com/entities/ncsoft-corp" target="_blank" data-smartkarma-citation="entities:5169:1" rel="noopener">NCSOFT Corp (036570 KS)</a> </td>
<td style="width: 185.766px;">Communication</td>
<td style="width: 147.797px;">Korea (South)</td>
<td style="text-align: center; width: 74.9531px;">18</td>
</tr>
<tr>
<td style="text-align: center; width: 74.9062px;">8</td>
<td style="width: 262.578px;">
<a href="https://www.smartkarma.com/entities/tencent-holdings-ltd" target="_blank" data-smartkarma-citation="entities:26:1" rel="noopener">Tencent (700 HK)</a> </td>
<td style="width: 185.766px;">Communication</td>
<td style="width: 147.797px;">China</td>
<td style="text-align: center; width: 74.9531px;">61</td>
</tr>
<tr>
<td style="text-align: center; width: 74.9062px;">9</td>
<td style="width: 262.578px;">
<a href="https://www.smartkarma.com/entities/hindustan-unilever-ltd" target="_blank" data-smartkarma-citation="entities:13828:1" rel="noopener">Hindustan Unilever (HUVR IN)</a> </td>
<td style="width: 185.766px;">Consumer Staples</td>
<td style="width: 147.797px;">India</td>
<td style="text-align: center; width: 74.9531px;">70</td>
</tr>
<tr>
<td style="text-align: center; width: 74.9062px;">10</td>
<td style="width: 262.578px;">
<a href="https://www.smartkarma.com/entities/maruti-suzuki-india-ltd" target="_blank" data-smartkarma-citation="entities:733:1" rel="noopener">Maruti Suzuki India (MSIL IN)</a> </td>
<td style="width: 185.766px;">Consumer Discretionary</td>
<td style="width: 147.797px;">India</td>
<td style="text-align: center; width: 74.9531px;">89</td>
</tr>
<tr><td colspan="5" style="text-align: left; width: 746px;"><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 bottom-fishing in Chinese education through New Oriental Education (EDU US), Russian internet play Yandex (YNDX US), Brazilian beverages giant Ambev SA (ABEV3 BZ), and a rebound call on Tencent (700 HK).









rank
Name
Sector
Location
prev.


1

Tata Consultancy Svcs (TCS IN) 
Information Technology
India
19


2

Shenzhou Intl Group Holdings (2313 HK) 
Consumer Discretionary
China
12


3

New Oriental Education &amp; Technology Group (9901 HK) 
Consumer Discretionary
China
92


4

Yandex (YNDX US) 
Communication
Russian Federation
88


5

China Resources Land (1109 HK) 
Real Estate
China
33


6

Ambev SA (ABEV3 BZ) 
Consumer Staples
Brazil
56


7

NCSOFT Corp (036570 KS) 
Communication
Korea (South)
18


8

Tencent (700 HK) 
Communication
China
61


9

Hindustan Unilever (HUVR IN) 
Consumer Staples
India
70


10

Maruti Suzuki India (MSIL IN) 
Consumer Discretionary
India
89

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.

<h2>China News That Matters</h2><ul>
<li>We don’t need no (private) education</li>
<li>Evergrande, just not forever </li>
<li>China’s new man in Washington </li>
<li>PLA trains hard for Taiwan – and expands nukes?</li>
<li>The Chairman tours Tibet</li>
</ul><div class="content-remarks"><ul style="list-style-type: none;"><li><div>In my weekly digest China News That Matters, I will give you selected summaries, sourced from a variety of local Chinese-language and international news outlets, and highlight why I think the news is significant. These posts are meant to neither be bullish nor bearish, but help you separate the signal from the noise.</div></li></ul></div>

China News That Matters
We don’t need no (private) education
Evergrande, just not forever 
China’s new man in Washington 
PLA trains hard for Taiwan – and expands nukes?
The Chairman tours Tibet
In my weekly digest China News That Matters, I will give you selected summaries, sourced from a variety of local Chinese-language and international news outlets, and highlight why I think the news is significant. These posts are meant to neither be bullish nor bearish, but help you separate the signal from the noise.

Edtech/ Evergrande/ US-China/ Taiwan/ Tibet

China

New Oriental Education & Technology Group, Inc. offers educational services. The Company offers foreign language training, test preparation courses for admissions and assessment tests in the United States, the PRC and Commonwealth countries, primary and secondary school education, and other services. New Oriental Education & Technology Group also operates software development.

Price Gauge
52-week Range	0.00 - 0.00
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New Oriental Education & Techn (EDU US)

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

TAL Education - Key Investor Capitulates, Should the Rest Follow?

The “double reduction” crackdown has inflicted major pain on the USD38 billion AST industry. Weak hands have folded but TAL strives to pivot....

Jason Yap, CFA

Sino-US/ Tech/ Covid-19/ Exercise/ Babies

In my weekly digest, I will give you selected summaries, sourced from a variety of local Chinese-language and international news outlets, and...

Diana Choyleva

Screening for GEMs: August 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

Edtech/ Evergrande/ US-China/ Taiwan/ Tibet

In my weekly digest, I will give you selected summaries, sourced from a variety of local Chinese-language and international news outlets, and...

Diana Choyleva

Price Gauge

52-week Range

Market Cap (USDm)

P/E

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