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

Thematic (Sector/Industry)

Energy is a lightly held sector, a bit part player in a world dominated by Tech, Financials and the EM Consumer.  The average holding weight among the active EM funds in our analysis stands at just 3.81%, underweight the benchmark by -2.11% on average.The fact that nearly a quarter of active EM managers have no exposure to the Energy sector is perhaps the most telling statistic of just how under-owned the sector is.  Part of that reason, we believe, lies in the risk of not holding Energy when index weights are so low. With Oil prices at multi-year highs, the Energy sector has started to outperform in a big way, with EM Energy outperforming the broader MSCI EM index by over 30% over the last 12 months.  With just 22.7% of funds overweight the benchmark, active EM managers are feeling the pinch.  The risk of being underweight or avoiding the sector completely has moved significantly higher.One of the factors that has driven Energy to the margins of EM investment is the rise of secular growth opportunities in Technology, Consumer Discretionary and Communication Services.  Indeed, the current investor base in Energy is heavily skewed towards the Value and Yield end of the spectrum.  Instead, Aggressive Growth managers have rotated towards the secular growth opportunities within Packaged Software, Internet Retail, Biotechnology and Internet Software/Services.Can the lure of a cyclical growth opportunity such as Energy be enough to win back investment from Growth investors?  If Energy keeps outperforming it will undoubtedly push Growth investors to look for opportunities within the sector.  We identify 2 stocks that already have an investor base among both Aggressive Growth and Growth funds, whilst also appealing to Value investors.  As such, we would expect both to be on the shortlist of the many underweights and non-investors looking to ramp up allocations in the Energy sector as we shift to a new ownership regime.Analysis taken from our EM research, covering 247 active GEM funds with combined AUM of $500bn

Energy is a lightly held sector, a bit part player in a world dominated by Tech, Financials and the EM Consumer.  The average holding weight among the active EM funds in our analysis stands at just 3.81%, underweight the benchmark by -2.11% on average.The fact that nearly a quarter of active EM managers have no exposure to the Energy sector is perhaps the most telling statistic of just how under-owned the sector is.  Part of that reason, we believe, lies in the risk of not holding Energy when index weights are so low. With Oil prices at multi-year highs, the Energy sector has started to outperform in a big way, with EM Energy outperforming the broader MSCI EM index by over 30% over the last 12 months.  With just 22.7% of funds overweight the benchmark, active EM managers are feeling the pinch.  The risk of being underweight or avoiding the sector completely has moved significantly higher.One of the factors that has driven Energy to the margins of EM investment is the rise of secular growth opportunities in Technology, Consumer Discretionary and Communication Services.  Indeed, the current investor base in Energy is heavily skewed towards the Value and Yield end of the spectrum.  Instead, Aggressive Growth managers have rotated towards the secular growth opportunities within Packaged Software, Internet Retail, Biotechnology and Internet Software/Services.Can the lure of a cyclical growth opportunity such as Energy be enough to win back investment from Growth investors?  If Energy keeps outperforming it will undoubtedly push Growth investors to look for opportunities within the sector.  We identify 2 stocks that already have an investor base among both Aggressive Growth and Growth funds, whilst also appealing to Value investors.  As such, we would expect both to be on the shortlist of the many underweights and non-investors looking to ramp up allocations in the Energy sector as we shift to a new ownership regime.Analysis taken from our EM research, covering 247 active GEM funds with combined AUM of $500bn

Asia Pac IPO & Placement Research, China biotech, Aequitas Research

Ke Yan, CFA, FRM

Asia Pac IPO & Placement Research, China biotech

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.

Quantitative Analysis

In our weekly HK Connect Flow series, we aim to highlight key stocks and sectors which the mainland investors traded via the southbound Hong Kong Connect, as analyzed by our proprietary data engine.Since the opening of Hong Kong Connect scheme in 2014, southbound Chinese money started to play an increasingly important role in the Hong Kong stock market. In 2020, Southbound trading accounted for 22% of the equity market ADT. We split the stocks eligible for the Hong Kong Connect trade into three groups: HSCEI component stocks, stocks with a market capitalization between USD 1 billion and USD 5 billion, and stocks with a market capitalization between USD 500 million and USD 1 billion.In this insight, we will highlight inflows into Tencent Holdings Limited (700 HK), Meituan (3690 HK), Cnooc Limited (883 HK), China Resources Power Holdings Company Limited (836 HK), Hygeia Healthcare Holdings Co., Limited (6078 HK).

In our weekly HK Connect Flow series, we aim to highlight key stocks and sectors which the mainland investors traded via the southbound Hong Kong Connect, as analyzed by our proprietary data engine.Since the opening of Hong Kong Connect scheme in 2014, southbound Chinese money started to play an increasingly important role in the Hong Kong stock market. In 2020, Southbound trading accounted for 22% of the equity market ADT. We split the stocks eligible for the Hong Kong Connect trade into three groups: HSCEI component stocks, stocks with a market capitalization between USD 1 billion and USD 5 billion, and stocks with a market capitalization between USD 500 million and USD 1 billion.In this insight, we will highlight inflows into Tencent Holdings Limited (700 HK), Meituan (3690 HK), Cnooc Limited (883 HK), China Resources Power Holdings Company Limited (836 HK), Hygeia Healthcare Holdings Co., Limited (6078 HK).

Hong Kong Connect Flows: What Did Chinese Buy Before National Day

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.

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 3 years (and implemented in its current state for 17 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 the beaten-down Chinese tech names such as <a href="https://www.smartkarma.com/entities/xiaomi-corp" target="_blank" data-smartkarma-citation="entities:24409:1" rel="noopener">Xiaomi Corp (1810 HK)</a>, <a href="https://www.smartkarma.com/entities/alibaba-group" target="_blank" data-smartkarma-citation="entities:28434:1" rel="noopener">Alibaba Group (9988 HK)</a>, <a href="https://www.smartkarma.com/entities/tencent-holdings-ltd" target="_blank" data-smartkarma-citation="entities:26:1" rel="noopener">Tencent (700 HK)</a> , and <a href="https://www.smartkarma.com/entities/jd-com-inc" target="_blank" data-smartkarma-citation="entities:29043:1" rel="noopener">JD.com Inc. (9618 HK)</a> as well as two Brazilian large caps in <a href="https://www.smartkarma.com/entities/vale-sa-7721577f-6c6a-4536-a829-92551c2bcd7f" target="_blank" data-smartkarma-citation="entities:27725:1" rel="noopener">Vale SA (VALE3 BZ)</a> and <a href="https://www.smartkarma.com/entities/ambev-sa" target="_blank" data-smartkarma-citation="entities:24454:1" rel="noopener">Ambev SA (ABEV3 BZ)</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/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;">10</td>
</tr>
<tr>
<td style="text-align: center;">2</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;">5</td>
</tr>
<tr>
<td style="text-align: center;">3</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;">16</td>
</tr>
<tr>
<td style="text-align: center;">4</td>
<td>
<a href="https://www.smartkarma.com/entities/xiaomi-corp" target="_blank" data-smartkarma-citation="entities:24409:1" rel="noopener">Xiaomi Corp (1810 HK)</a> </td>
<td>Information Technology</td>
<td>China</td>
<td style="text-align: center;">91</td>
</tr>
<tr>
<td style="text-align: center;">5</td>
<td>
<a href="https://www.smartkarma.com/entities/alibaba-group" target="_blank" data-smartkarma-citation="entities:28434:1" rel="noopener">Alibaba Group (9988 HK)</a> </td>
<td>Consumer Discretionary</td>
<td>China</td>
<td style="text-align: center;">34</td>
</tr>
<tr>
<td style="text-align: center;">6</td>
<td>
<a href="https://www.smartkarma.com/entities/vale-sa-7721577f-6c6a-4536-a829-92551c2bcd7f" target="_blank" data-smartkarma-citation="entities:27725:1" rel="noopener">Vale SA (VALE3 BZ)</a> </td>
<td>Materials</td>
<td>Brazil</td>
<td style="text-align: center;">38</td>
</tr>
<tr>
<td style="text-align: center;">7</td>
<td>
<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>Consumer Staples</td>
<td>Brazil</td>
<td style="text-align: center;">35</td>
</tr>
<tr>
<td style="text-align: center;">8</td>
<td>
<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>Communication</td>
<td>China</td>
<td style="text-align: center;">43</td>
</tr>
<tr>
<td style="text-align: center;">9</td>
<td>
<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> </td>
<td>Financials</td>
<td>China</td>
<td style="text-align: center;">23</td>
</tr>
<tr>
<td style="text-align: center;">10</td>
<td>
<a href="https://www.smartkarma.com/entities/jd-com-inc" target="_blank" data-smartkarma-citation="entities:29043:1" rel="noopener">JD.com Inc. (9618 HK)</a> </td>
<td>Consumer Discretionary</td>
<td>China</td>
<td style="text-align: center;">79</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 3 years (and implemented in its current state for 17 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 the beaten-down Chinese tech names such as Xiaomi Corp (1810 HK), Alibaba Group (9988 HK), Tencent (700 HK) , and JD.com Inc. (9618 HK) as well as two Brazilian large caps in Vale SA (VALE3 BZ) and Ambev SA (ABEV3 BZ).









rank
Name
Sector
Location
prev.


1

New Oriental Education &amp; Technology Group (9901 HK) 
Consumer Discretionary
China
10


2

NetEase (9999 HK) 
Communication
China
5


3

Samsung Electronics (005930 KS) 
Information Technology
Korea (South)
16


4

Xiaomi Corp (1810 HK) 
Information Technology
China
91


5

Alibaba Group (9988 HK) 
Consumer Discretionary
China
34


6

Vale SA (VALE3 BZ) 
Materials
Brazil
38


7

Ambev SA (ABEV3 BZ) 
Consumer Staples
Brazil
35


8

Ambev SA (ABEV3 BZ) 
Communication
China
43


9

Ping An Insurance (H) (2318 HK) 
Financials
China
23


10

JD.com Inc. (9618 HK) 
Consumer Discretionary
China
79

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. 

Pan-Asia Catalysts/Events, Quiddity Advisors

David Blennerhassett

Pan-Asia Catalysts/Events

Quiddity Advisors

Event-Driven

Last Week in Event SPACE: Matheson, Naspers/Prosus, China Conch, Vedanta, Aussie Pharma, Toshiba

In our weekly HK Connect Flow series, we aim to highlight key stocks and sectors which the mainland investors traded via the southbound Hong Kong Connect, as analyzed by our proprietary data engine.Since the opening of Hong Kong Connect scheme in 2014, southbound Chinese money started to play an increasingly important role in the Hong Kong stock market. In 2020, Southbound trading accounted for 22% of the equity market ADT. We split the stocks eligible for the Hong Kong Connect trade into three groups: HSCEI component stocks, stocks with a market capitalization between USD 1 billion and USD 5 billion, and stocks with a market capitalization between USD 500 million and USD 1 billion.In this insight, we will highlight inflows into Tencent Holdings Limited (700 HK), Hong Kong Exchanges And Clearing Limited (388 HK), Cnooc Limited (883 HK) as well as outflows from Wuxi Biologics (Cayman) Inc. (2269 HK), Byd Company Limited (1211 HK), and Meituan (3690 HK).

In our weekly HK Connect Flow series, we aim to highlight key stocks and sectors which the mainland investors traded via the southbound Hong Kong Connect, as analyzed by our proprietary data engine.Since the opening of Hong Kong Connect scheme in 2014, southbound Chinese money started to play an increasingly important role in the Hong Kong stock market. In 2020, Southbound trading accounted for 22% of the equity market ADT. We split the stocks eligible for the Hong Kong Connect trade into three groups: HSCEI component stocks, stocks with a market capitalization between USD 1 billion and USD 5 billion, and stocks with a market capitalization between USD 500 million and USD 1 billion.In this insight, we will highlight inflows into Tencent Holdings Limited (700 HK), Hong Kong Exchanges And Clearing Limited (388 HK), Cnooc Limited (883 HK) as well as outflows from Wuxi Biologics (Cayman) Inc. (2269 HK), Byd Company Limited (1211 HK), and Meituan (3690 HK).

Hong Kong Connect Flows: Tencent, HKEx, CNOOC

China

CNOOC Limited, through its subsidiaries, explores, develops, produces, and sells crude oil and natural gas. The Company focuses in the areas such as Bohai, Western South China Sea, Eastern South China Sea and East China Sea in offshore China. Internationally, the Group has oil and gas assets in Asia, Africa, North America, South America, and Oceania.

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CNOOC Ltd (883 HK)

EM Energy: Regime Shift

A quarter of active EM managers have no exposure to the Energy sector and only 23% are overweight. With Oil prices at multi-year highs, active EM...

Steven Holden

Hong Kong Connect Flows: What Did Chinese Buy Before National Day

We will highlight weekly Southbound Connect inflows into Tencent, Meituan, Cnooc, China Resources Power, Hygeia Healthcare.

Ke Yan, CFA, FRM

Screening for GEMs: October 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

Last Week in Event SPACE: Matheson, Naspers/Prosus, China Conch, Vedanta, Aussie Pharma, Toshiba

The weekend is here! Pour yourself a coffee, grab a comfortable seat, and sift through a brief summary of insights on various events discussed...

David Blennerhassett

Hong Kong Connect Flows: Tencent, HKEx, CNOOC

We will highlight weekly southbound connect inflows into Tencent (700 HK), HKEx (388 HK), Cnooc (883 HK) as well as outflows from Wuxi Biologics...

Ke Yan, CFA, FRM

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