Technical Analyst, Vermilion Research

Joe Jasper

Technical Analyst

Technical and Quantitative Research

Vermilion Research

Vermilion’s objective is to deliver timely, actionable, and unique technical research to professional investors through the application of our various technical indicators.

Our research strategists seek to highlight securities which we believe are at major inflection points, based on our various technical and quantitative indicators, and offer asymmetric risk/return profiles. Our unique research methodology, centered on relative strength, enables our strategists to deliver superior investment recommendations.

Our process begins by organizing the universe of actively traded stocks into discrete sectors, then into industry groups. We then apply our technical and quantitative tools to identify developing price trends. Once attractive trends are identified within a selected sector or group, we screen for individual stocks which we believe offer the best risk/reward profile. We provide a historical perspective that often reveals, through our long-term charts, how price patterns often repeat themselves over time.

Technical Analysis

MSCI Emerging Markets Index / Technical Analysis

<p>Emerging markets continue to outperform developed international equities, and within EM, the BRIC country grouping remains leadership.  In addition to sector and regional market comments, today’s report includes a wide variety of bottom-up recommendations, spanning most sectors and all market capitalizations.</p>

Emerging markets continue to outperform developed international equities, and within EM, the BRIC country grouping remains leadership.  In addition to sector and regional market comments, today’s report includes a wide variety of bottom-up recommendations, spanning most sectors and all market capitalizations.

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

<p>In this report, we highlight how Russia has taken over from India as the largest overweight country holding among global emerging market fund managers.  Although still a key country position, India has witnessed a certain degree of investor flight after the election euphoria of 2014/15, with <a href="https://www.smartkarma.com/entities/768" target="_blank" data-smartkarma-citation="entities:768:1">Axis Bank Ltd (AXSB IN)</a>, <a href="https://www.smartkarma.com/entities/216" target="_blank" data-smartkarma-citation="entities:216:1">Tata Motors Ltd (TTMT IN)</a> and <a href="https://www.smartkarma.com/entities/17910" target="_blank" data-smartkarma-citation="entities:17910:1">Lupin Ltd (LPC IN)</a> coming under pressure.  Opposing this is a renewed interest in Russia, with fund managers willing to allocate significantly more than the benchmark MSCI EM Index.  Key stocks have been <a href="https://www.smartkarma.com/entities/24142" target="_blank" data-smartkarma-citation="entities:24142:1">Sberbank of Russia PJSC (SBER LI)</a> and <a href="https://www.smartkarma.com/entities/25278" target="_blank" data-smartkarma-citation="entities:25278:1">X5 Retail Group NV (FIVE LI)</a></p>

In this report, we highlight how Russia has taken over from India as the largest overweight country holding among global emerging market fund managers.  Although still a key country position, India has witnessed a certain degree of investor flight after the election euphoria of 2014/15, with Axis Bank Ltd (AXSB IN), Tata Motors Ltd (TTMT IN) and Lupin Ltd (LPC IN) coming under pressure.  Opposing this is a renewed interest in Russia, with fund managers willing to allocate significantly more than the benchmark MSCI EM Index.  Key stocks have been Sberbank of Russia PJSC (SBER LI) and X5 Retail Group NV (FIVE LI)

Russia Replaces India as Top EM Overweight

Emerging Markets Cross-Asset Strategist, Emvest Partners

Guillaume Coutant

Emerging Markets Cross-Asset Strategist

Thematic (Sector/Industry)

<h2>1.    Macro analysis suggests :</h2><ul class=""><li>Oil remains in a very cloudy situation with contradictory data (stockpiles), global demand, and OPEC intentions. This will continue to put Oil under pressure.</li><li>Russia's economic situation is not improving at the initial expected pace, with the expected growth rate remaining stable at 0.5%. Economic sanctions are likely to remain, weakening investors’ confidence.</li></ul><h2>2.    Trend analysis suggests:</h2><ul class=""><li>Oil is evolving in a complex descending range, with no sign of a bullish reversal at this stage. <a href="https://www.smartkarma.com/entities/22869" target="_blank" data-smartkarma-citation="entities:22869:1">Crude Oil (CRUDE OIL COMDTY)</a> Brent is expected to remain below the 55.00$ area and go back to 47.70/45.00.</li><li>Russian assets also remain in bearish dynamics ( <a href="https://www.smartkarma.com/entities/22833" target="_blank" data-smartkarma-citation="entities:22833:1">RUB (USDRUB CURNCY)</a>, Equities) with potential for further weakness.</li></ul><h2>3.    Mitigating factors:</h2><ul class=""><li>A global recovery may lead to a higher oil demand and may support oil prices.</li><li>Should OPEC and US converge on production, Oil price will step up and take Russian assets with them.</li><li><a href="https://www.smartkarma.com/entities/22821" target="_blank" data-smartkarma-citation="entities:22821:1">USD (USD CURNCY)</a> current weakness may put <a href="https://www.smartkarma.com/entities/22833" target="_blank" data-smartkarma-citation="entities:22833:1">RUB (USDRUB CURNCY)</a> in flat ranges. RUBBASK should therefore be a better benchmark to define RUB outlook.</li></ul><div class="content-highlight"><p style="text-align: center;"><strong>RECOMMANDATION</strong></p><p style="text-align: center;"><strong>TIME HORIZON: 1-2 months                </strong></p><p style="text-align: center;"><strong>Last 10% leg down on underperforming Russian equities with a slight CDS widening.</strong></p><p style="text-align: center;"><strong>RUB depreciation expected Vs USD and possibly peers like TRY or MXN.</strong></p></div>

1.    Macro analysis suggests :Oil remains in a very cloudy situation with contradictory data (stockpiles), global demand, and OPEC intentions. This will continue to put Oil under pressure.Russia's economic situation is not improving at the initial expected pace, with the expected growth rate remaining stable at 0.5%. Economic sanctions are likely to remain, weakening investors’ confidence.2.    Trend analysis suggests:Oil is evolving in a complex descending range, with no sign of a bullish reversal at this stage. Crude Oil (CRUDE OIL COMDTY) Brent is expected to remain below the 55.00$ area and go back to 47.70/45.00.Russian assets also remain in bearish dynamics ( RUB (USDRUB CURNCY), Equities) with potential for further weakness.3.    Mitigating factors:A global recovery may lead to a higher oil demand and may support oil prices.Should OPEC and US converge on production, Oil price will step up and take Russian assets with them.USD (USD CURNCY) current weakness may put RUB (USDRUB CURNCY) in flat ranges. RUBBASK should therefore be a better benchmark to define RUB outlook.RECOMMANDATIONTIME HORIZON: 1-2 months                Last 10% leg down on underperforming Russian equities with a slight CDS widening.RUB depreciation expected Vs USD and possibly peers like TRY or MXN.

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

<ul>
<li>An overview (and output) of our machine learning-driven GEM screening model, which seeks to find the best medium-term long ideas within the top100 stocks in the MSCI GEM Index.</li>
<li>The model is based on 1) a quantitative multifactor screening model, enhanced by two AI Technology-based approaches; 2) a Deep Neural Network model, and 3) a Recurrent Neural Network model.</li>
<li>Developed over the past 3 years, and implemented in its current state for 20 months, the model has a solid real-world alpha-generating performance track record, set out in detail below.</li>
</ul>


An overview (and output) of our machine learning-driven GEM screening model, which seeks to find the best medium-term long ideas within the top100 stocks in the MSCI GEM Index.
The model is based on 1) a quantitative multifactor screening model, enhanced by two AI Technology-based approaches; 2) a Deep Neural Network model, and 3) a Recurrent Neural Network model.
Developed over the past 3 years, and implemented in its current state for 20 months, the model has a solid real-world alpha-generating performance track record, set out in detail below.


<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 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. </p><p>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>.</p><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><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 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. 

Russia

LUKOIL PJSC explores for, produces, refines, transports, and markets oil and gas mainly from Western Siberia. The Company also manufactures petrochemicals, fuels, and other petroleum products. LUKOIL operates refineries, and gasoline filling stations in Russia and the United States. The Company transports oil through pipelines, and petroleum products with its fleet of ships.

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LUKOIL PJSC (LKOD LI)

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Wium Malan, CFA

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