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 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 Russian internet company <a href="https://www.smartkarma.com/entities/yandex-nv-a" target="_blank" data-smartkarma-citation="entities:414:1" rel="noopener">Yandex (YNDX US)</a>, Indian IT Services company <a href="https://www.smartkarma.com/entities/hcl-technologies-ltd" target="_blank" data-smartkarma-citation="entities:20025:1" rel="noopener">Hcl Technologies (HCLT IN)</a>, and a return to the top 10 for <a href="https://www.smartkarma.com/entities/taiwan-semiconductor-manufacturing-company" target="_blank" data-smartkarma-citation="entities:11230:1" rel="noopener">TSMC (2330 TT)</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/lg-household-health-care" target="_blank" data-smartkarma-citation="entities:6501:1" rel="noopener">LG Household &amp; Health Care (051900 KS)</a> </td>
<td>Consumer Staples</td>
<td>Korea (South)</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/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;">2</td>
</tr>
<tr>
<td style="text-align: center;">3</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;">10</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;">4</td>
</tr>
<tr>
<td style="text-align: center;">5</td>
<td>
<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>Communication</td>
<td>Russian Federation</td>
<td style="text-align: center;">49</td>
</tr>
<tr>
<td style="text-align: center;">6</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;">1</td>
</tr>
<tr>
<td style="text-align: center;">7</td>
<td>
<a href="https://www.smartkarma.com/entities/taiwan-semiconductor-manufacturing-company" target="_blank" data-smartkarma-citation="entities:11230:1" rel="noopener">TSMC (2330 TT)</a> </td>
<td>Information Technology</td>
<td>Taiwan</td>
<td style="text-align: center;">16</td>
</tr>
<tr>
<td style="text-align: center;">8</td>
<td>
<a href="https://www.smartkarma.com/entities/al-rajhi-bank" target="_blank" data-smartkarma-citation="entities:27038:1" rel="noopener">Al Rajhi Bank (RJHI AB)</a> </td>
<td>Financials</td>
<td>Saudi Arabia</td>
<td style="text-align: center;">33</td>
</tr>
<tr>
<td style="text-align: center;">9</td>
<td>
<a href="https://www.smartkarma.com/entities/magazine-luiza-sa" target="_blank" data-smartkarma-citation="entities:27676:1" rel="noopener">Magazine Luiza SA (MGLU3 BZ)</a> </td>
<td>Consumer Discretionary</td>
<td>Brazil</td>
<td style="text-align: center;">15</td>
</tr>
<tr>
<td style="text-align: center;">10</td>
<td>
<a href="https://www.smartkarma.com/entities/hcl-technologies-ltd" target="_blank" data-smartkarma-citation="entities:20025:1" rel="noopener">Hcl Technologies (HCLT IN)</a> </td>
<td>Information Technology</td>
<td>India</td>
<td style="text-align: center;">83</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 Russian internet company Yandex (YNDX US), Indian IT Services company Hcl Technologies (HCLT IN), and a return to the top 10 for TSMC (2330 TT).

      


rank
Name
Sector
Location
prev.


1

LG Household &amp; Health Care (051900 KS) 
Consumer Staples
Korea (South)
12


2

NetEase (9999 HK) 
Communication
China
2


3

JD.com Inc. (9618 HK) 
Consumer Discretionary
China
10


4

Xiaomi Corp (1810 HK) 
Information Technology
China
4


5

Yandex (YNDX US) 
Communication
Russian Federation
49


6

New Oriental Education &amp; Technology Group (9901 HK) 
Consumer Discretionary
China
1


7

TSMC (2330 TT) 
Information Technology
Taiwan
16


8

Al Rajhi Bank (RJHI AB) 
Financials
Saudi Arabia
33


9

Magazine Luiza SA (MGLU3 BZ) 
Consumer Discretionary
Brazil
15


10

Hcl Technologies (HCLT IN) 
Information Technology
India
83


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.

<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.

Financials & FinTech research, Galliano’s Financials Research

Victor Galliano

Financials & FinTech research

Financials & FinTech, EM & Developed Markets

Galliano’s Financials Research

Galliano's Financials Research provides fundamental research in Emerging Markets financials, including FinTech, as well as financials in select Developed Markets.

The investment style applied is generally value oriented, although Growth At Reasonable Price (GARP) strategies can also be used where appropriate. 

Our investment research approach aim is often contrarian, looking to capitalise on overly sceptical or optimistic consensus views. In terms of valuation techniques, the focus is on PBV ratio to ROE, PE multiples and dividend yield, as well as the application of PEG ratios and, where appropriate, Sum of the Parts (SOTP) valuations.

Event-Driven

<ul>
<li>
<a href="https://www.smartkarma.com/entities/yandex-nv-a" target="_blank" data-smartkarma-citation="entities:414:1" rel="noopener">Yandex (YNDX US)</a>  offer for <a href="https://www.smartkarma.com/entities/tcs-group-holding-plc" target="_blank" data-smartkarma-citation="entities:28148:1" rel="noopener">TCS Group Holding PLC (TCS LI),</a> Tinkoff, values the Russian digital bank at 2021E PBV ratio of 2.8x and 2021E PE ratio of 10x</li>
<li>We believe that the Yandex-Tinkoff deal reflects that TechFin M&amp;A activity is more geared towards the quest for expansion of scope than scale</li>
<li>We see other cases of this type of M&amp;A in other recent transactions, in Brazil; for example, there are the cases of StoneCo-Linx and Nubank-EasyInvest</li>
<li>Tinkoff is a comparable digital bank in Emerging Markets to Brazilian <a href="https://www.smartkarma.com/entities/banco-inter-sa" target="_blank" data-smartkarma-citation="entities:28162:1" rel="noopener">Banco Inter SA (BIDI11 BZ)</a>; we estimate that – based on a per digital account valuation – the Yandex offer values Tinkoff at a 25% premium to Banco Inter</li>
<li>We believe that this deal’s “read-across” is constructive for other digital banks in the main and specifically for Banco Inter’s market valuation, especially after the recent correction in share prices</li>
<li>Risks to our positive view on Banco Inter include lower than expected growth in the digital account base due to increased competition, worse than expected credit quality due to the economic downturn forcing cost of risk higher as well as downward pressure on credit spreads and fees</li>
</ul>



Yandex (YNDX US)  offer for TCS Group Holding PLC (TCS LI), Tinkoff, values the Russian digital bank at 2021E PBV ratio of 2.8x and 2021E PE ratio of 10x
We believe that the Yandex-Tinkoff deal reflects that TechFin M&amp;A activity is more geared towards the quest for expansion of scope than scale
We see other cases of this type of M&amp;A in other recent transactions, in Brazil; for example, there are the cases of StoneCo-Linx and Nubank-EasyInvest
Tinkoff is a comparable digital bank in Emerging Markets to Brazilian Banco Inter SA (BIDI11 BZ); we estimate that – based on a per digital account valuation – the Yandex offer values Tinkoff at a 25% premium to Banco Inter
We believe that this deal’s “read-across” is constructive for other digital banks in the main and specifically for Banco Inter’s market valuation, especially after the recent correction in share prices
Risks to our positive view on Banco Inter include lower than expected growth in the digital account base due to increased competition, worse than expected credit quality due to the economic downturn forcing cost of risk higher as well as downward pressure on credit spreads and fees


Yandex Offer for Tinkoff – TechFin M&A Driven by Quest for Greater Scope, and Brazil “read-Across”

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

Equity Bottom-Up

<ul>
<li>Ownership levels in Yandex hit all-time highs in EM active portfolios</li>
<li>
<a href="https://www.smartkarma.com/entities/yandex-nv-a" target="_blank" data-smartkarma-citation="entities:414:1" rel="noopener">Yandex (YNDX US)</a> overtakes <a href="https://www.smartkarma.com/entities/sberbank-of-russia-pjsc" target="_blank" data-smartkarma-citation="entities:24142:1" rel="noopener">Sberbank Of Russia Pjsc (SBER LI)</a> as top overweight</li>
<li>Positioning and momentum levels are among the highest compared to Russian and Communication Services peers.</li>
<li>However, we still the potential for ownership levels to move higher still.</li>
</ul><p><em>Taken from our Global Emerging Markets analysis, comprising 248 active GEM funds, combined AUM </em><em>$360bn.</em></p>


Ownership levels in Yandex hit all-time highs in EM active portfolios

Yandex (YNDX US) overtakes Sberbank Of Russia Pjsc (SBER LI) as top overweight
Positioning and momentum levels are among the highest compared to Russian and Communication Services peers.
However, we still the potential for ownership levels to move higher still.
Taken from our Global Emerging Markets analysis, comprising 248 active GEM funds, combined AUM $360bn.

<ul>
<li>Ownership levels in Magnit are depressed. Today's average weights and funds held % are at multi-year lows.</li>
<li>Recent sentiment looks positive when compared to other EM stocks, though this is partly a function of low ownership rather then any large scale buying.</li>
<li>Although lightly owned at present, it is a well known stock having being owned by 151 of the 224 in our analysis.</li>
<li>Max ever combined AUM from the funds in our analysis is ~20x the current level, most funds are at their lowest ever levels of ownership.</li>
<li>Prices are highly correlated to EM fund ownership.  Higher ownership levels are likely to drive prices higher.</li>
<li>Given Magnit's strong performance in 2020 relative to broader EM and other favoured Russian stocks, it could be appearing back on the radar of active EM managers. If it does, expect performance to follow.</li>
</ul>


Ownership levels in Magnit are depressed. Today's average weights and funds held % are at multi-year lows.
Recent sentiment looks positive when compared to other EM stocks, though this is partly a function of low ownership rather then any large scale buying.
Although lightly owned at present, it is a well known stock having being owned by 151 of the 224 in our analysis.
Max ever combined AUM from the funds in our analysis is ~20x the current level, most funds are at their lowest ever levels of ownership.
Prices are highly correlated to EM fund ownership.  Higher ownership levels are likely to drive prices higher.
Given Magnit's strong performance in 2020 relative to broader EM and other favoured Russian stocks, it could be appearing back on the radar of active EM managers. If it does, expect performance to follow.


Netherlands

Nebius Group is a technology company providing infrastructure and services to AI builders globally. The group's core business, Nebius, is an AI-centric cloud platform built for AI workloads. Nebius Group serves customers worldwide.

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Nebius Group (NBIS US)

Screening for GEMs: November 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

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

Yandex Offer for Tinkoff – TechFin M&A Driven by Quest for Greater Scope, and Brazil “read-Across”

$yandex offer for Tinkoff values the Russian digital bank at 2021E PBV ratio of 2.8x and 2021E PE ratio of 10x We believe that the Yandex-Tinkoff...

Victor Galliano

Yandex: Moves to Top Russia Overweight

Ownership levels in Yandex hit all-time highs in EM active portfolios Yandex (YNDX US) overtakes Sberbank Of Russia Pjsc (SBER LI) as top...

Steven Holden

Magnit PJSC : Mind the Gap.

Ownership levels in Magnit are depressed. Today's average weights and funds held % are at multi-year lows. Recent sentiment looks positive when...

Steven Holden

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