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.

Thematic (Sector/Industry)

<ul>
<li>Exchanges continue to seek revenue streams outside of the traditional trading fees in post-trading, as well as capitalising on “big data” in financial transactions and data services</li>
<li>We identify three relative value opportunities in exchanges; MexBolsa, B3 and Deutsche Borse feature positively multiple times in our value screens and they are all diversifying revenue streams</li>
<li>Coinbase remains the exchange to avoid, in our view, despite its share price collapse; aside from negative news-flow, its revenue streams are heavily exposed to low volumes of crypto transactions</li>
</ul>


Exchanges continue to seek revenue streams outside of the traditional trading fees in post-trading, as well as capitalising on “big data” in financial transactions and data services
We identify three relative value opportunities in exchanges; MexBolsa, B3 and Deutsche Borse feature positively multiple times in our value screens and they are all diversifying revenue streams
Coinbase remains the exchange to avoid, in our view, despite its share price collapse; aside from negative news-flow, its revenue streams are heavily exposed to low volumes of crypto transactions


Global Exchanges – The Quest for Recurring Revenues

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

<ul>
<li>The lows have likely been established for this correction, but a bottoming process would likely take weeks or potentially months and could come with more tests of the lows.</li>
<li>Japan's TOPIX and Nikkei 225 are each testing their respective downtrends. The EURO STOXX 50 is testing resistance in the 4040-4090 range. Germany's DAX is testing major resistance at 14,815-14,950.</li>
<li>It is likely that this initial 2-3 week bounce has run its course; stick with cyclical value and defensives, areas we have been focused on for most of 2022.</li>
</ul>


The lows have likely been established for this correction, but a bottoming process would likely take weeks or potentially months and could come with more tests of the lows.
Japan's TOPIX and Nikkei 225 are each testing their respective downtrends. The EURO STOXX 50 is testing resistance in the 4040-4090 range. Germany's DAX is testing major resistance at 14,815-14,950.
It is likely that this initial 2-3 week bounce has run its course; stick with cyclical value and defensives, areas we have been focused on for most of 2022.


Sticking With Cyclical Value and Defensives; Adding Large-Cap Japan Technology

Equity Bottom-Up

<ul>
<li>Among EM banks, our top picks are Sberbank in Russia, Banco do Brasil and HDFC Bank in India; we are negative on recent IPO Nubank due to inflated market expectations</li>
<li>Our top picks for 2022 are BBVA and Banco BPM for Southern Europe banks. In Exchanges, we are positive on B3 of Brazil and SGX</li>
<li>In payments, we like Mastercard and Pagseguro, but we are negative on Paytm; we see BTG Pactual as an attractive pick and winner in the digital wealth managers and brokers</li>
</ul>


Among EM banks, our top picks are Sberbank in Russia, Banco do Brasil and HDFC Bank in India; we are negative on recent IPO Nubank due to inflated market expectations
Our top picks for 2022 are BBVA and Banco BPM for Southern Europe banks. In Exchanges, we are positive on B3 of Brazil and SGX
In payments, we like Mastercard and Pagseguro, but we are negative on Paytm; we see BTG Pactual as an attractive pick and winner in the digital wealth managers and brokers


2022 High Conviction Ideas in FinTech & Financials

<ul>
<li>Global exchanges are adapting to a more price pressured environment in trading fees, including the growth of off-exchange trading</li>
<li>The most forward looking exchanges are actively diversifying their revenue base away from trading and transaction fees, and they are focusing on post-trade services, as well as monetising their access to “big data” and data flows</li>
<li>Select exchanges have accelerated their revenue diversification strategies through M&amp;A; two high profile examples are <a href="https://www.smartkarma.com/entities/intercontinental-exchange-inc" target="_blank" data-smartkarma-citation="entities:10221:1" rel="noopener">Intercontinental Exchange (ICE US)</a> acquiring Ellie Mae and <a href="https://www.smartkarma.com/entities/london-stock-exchange-group" target="_blank" data-smartkarma-citation="entities:22034:1" rel="noopener">London Stock Exchange (LSE LN)</a> acquiring Refinitiv which, in part, reflects the attraction of the “big data” opportunity</li>
<li>The recent merger rumours within the exchanges sector between <a href="https://www.smartkarma.com/entities/cboe-global-markets-inc" target="_blank" data-smartkarma-citation="entities:20189:1" rel="noopener">Cboe Global Markets (CBOE US)</a> &amp; <a href="https://www.smartkarma.com/entities/cme-group-inc" target="_blank" data-smartkarma-citation="entities:12353:1" rel="noopener">Cme Group Inc (CME US)</a> – even though this merger did not materialise – reflect the potential for cost savings and synergies from exchange mergers</li>
<li>In emerging markets, the shift away from trading revenues is also apparent, although the pace of change seems more measured due to regulatory constraints</li>
<li>Among developed market exchanges, we believe that ICE is the “poster child” on revenue transformation, and is not overly expensive on valuations, with <a href="https://www.smartkarma.com/entities/deutsche-boerse-ag" target="_blank" data-smartkarma-citation="entities:21604:1" rel="noopener">Deutsche Boerse Ag (DB1 GR)</a> being the value pick and we also find CBOE to be attractive; we believe that LSEG is still a “show me” story on Refinitiv integration, even if valuations are undemanding</li>
<li>In emerging markets, we believe that out-of-favour <a href="https://www.smartkarma.com/entities/b3-sa-brasil-bolsa-balcao" target="_blank" data-smartkarma-citation="entities:24580:1" rel="noopener">B3 Sa - Brasil Bolsa Balcao (B3SA3 BZ)</a> shares have potential to reverse the trend and re-rate on attractive valuations, with smaller cap <a href="https://www.smartkarma.com/entities/bolsa-mexicana-de-valores-sab" target="_blank" data-smartkarma-citation="entities:24766:1" rel="noopener">Bolsa Mexicana De Valores Sab (BOLSAA MM)</a> attractive on both its broad revenue mix and valuations; we are bearish on <a href="https://www.smartkarma.com/entities/hong-kong-exchanges-clearing" target="_blank" data-smartkarma-citation="entities:490:1" rel="noopener">HKEX (388 HK)</a> shares, with the market overly positive on the exchange’s prospects, in our view</li>
<li>
<a href="https://www.smartkarma.com/entities/singapore-exchange-ltd" target="_blank" data-smartkarma-citation="entities:1047:1" rel="noopener">SGX (SGX SP)</a> is one to watch; management has more to do to diversify the revenue base, yet its valuations are undemanding and competition concerns may be overdone</li>
<li>We include the listed crypto exchange <a href="https://www.smartkarma.com/entities/coinbase-global-inc" target="_blank" data-smartkarma-citation="entities:32227:1" rel="noopener">Coinbase (COIN US)</a> in this exchanges report for the first time; with its business model very geared towards trading and transaction fees, we are cautious on Coinbase given the very high volatility in both volumes and prices inherent in the world of crypto trading, as well as the regulatory hurdles</li>
<li><span>Risks to our positive views on B3, BolsaMex, ICE, CBOE and Deutsche Boerse include worse than expected post-trade and data and IT revenue generation as well as a more hostile regulatory climate; risks to our bearish views on HKEX and Coinbase are better than expected revenue and EBITDA growth</span></li>
</ul>


Global exchanges are adapting to a more price pressured environment in trading fees, including the growth of off-exchange trading
The most forward looking exchanges are actively diversifying their revenue base away from trading and transaction fees, and they are focusing on post-trade services, as well as monetising their access to “big data” and data flows
Select exchanges have accelerated their revenue diversification strategies through M&amp;A; two high profile examples are Intercontinental Exchange (ICE US) acquiring Ellie Mae and London Stock Exchange (LSE LN) acquiring Refinitiv which, in part, reflects the attraction of the “big data” opportunity
The recent merger rumours within the exchanges sector between Cboe Global Markets (CBOE US) &amp; Cme Group Inc (CME US) – even though this merger did not materialise – reflect the potential for cost savings and synergies from exchange mergers
In emerging markets, the shift away from trading revenues is also apparent, although the pace of change seems more measured due to regulatory constraints
Among developed market exchanges, we believe that ICE is the “poster child” on revenue transformation, and is not overly expensive on valuations, with Deutsche Boerse Ag (DB1 GR) being the value pick and we also find CBOE to be attractive; we believe that LSEG is still a “show me” story on Refinitiv integration, even if valuations are undemanding
In emerging markets, we believe that out-of-favour B3 Sa - Brasil Bolsa Balcao (B3SA3 BZ) shares have potential to reverse the trend and re-rate on attractive valuations, with smaller cap Bolsa Mexicana De Valores Sab (BOLSAA MM) attractive on both its broad revenue mix and valuations; we are bearish on HKEX (388 HK) shares, with the market overly positive on the exchange’s prospects, in our view

SGX (SGX SP) is one to watch; management has more to do to diversify the revenue base, yet its valuations are undemanding and competition concerns may be overdone
We include the listed crypto exchange Coinbase (COIN US) in this exchanges report for the first time; with its business model very geared towards trading and transaction fees, we are cautious on Coinbase given the very high volatility in both volumes and prices inherent in the world of crypto trading, as well as the regulatory hurdles
Risks to our positive views on B3, BolsaMex, ICE, CBOE and Deutsche Boerse include worse than expected post-trade and data and IT revenue generation as well as a more hostile regulatory climate; risks to our bearish views on HKEX and Coinbase are better than expected revenue and EBITDA growth


Exchanges – More than Just Trading Places

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 Russian energy plays <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> and <a href="https://www.smartkarma.com/entities/lukoil-pjsc" target="_blank" data-smartkarma-citation="entities:24141:1" rel="noopener">Lukoil PJSC (LKOD LI)</a>, Brazilian securities exchange <a href="https://www.smartkarma.com/entities/b3-sa-brasil-bolsa-balcao" target="_blank" data-smartkarma-citation="entities:24580:1" rel="noopener">B3 Sa - Brasil Bolsa Balcao (B3SA3 BZ)</a>, and <a href="https://www.smartkarma.com/entities/china-construction-bank-h" target="_blank" data-smartkarma-citation="entities:45:1" rel="noopener">China Construction Bank H (939 HK)</a>.</p><table class="table table-striped">
<colgroup>
<col>
<col>
<col>
<col>
<col>
</colgroup>
<tbody>
<tr>
<td style="text-align: center; width: 74.7344px;">rank</td>
<td style="width: 263.203px;">Name</td>
<td style="width: 185.312px;">Sector</td>
<td style="width: 147.938px;">Location</td>
<td style="text-align: center; width: 74.8125px;">prev.</td>
</tr>
<tr>
<td style="text-align: center; width: 74.7344px;">1</td>
<td style="width: 263.203px;">
<a href="https://www.smartkarma.com/entities/sk-hynix-inc" target="_blank" data-smartkarma-citation="entities:16955:1" rel="noopener">SK Hynix (000660 KS)</a> </td>
<td style="width: 185.312px;">Information Technology</td>
<td style="width: 147.938px;">Korea (South)</td>
<td style="text-align: center; width: 74.8125px;">3</td>
</tr>
<tr>
<td style="text-align: center; width: 74.7344px;">2</td>
<td style="width: 263.203px;">
<a href="https://www.smartkarma.com/entities/china-mobile-ltd" target="_blank" data-smartkarma-citation="entities:27:1" rel="noopener">China Mobile (941 HK)</a> </td>
<td style="width: 185.312px;">Communication</td>
<td style="width: 147.938px;">China</td>
<td style="text-align: center; width: 74.8125px;">9</td>
</tr>
<tr>
<td style="text-align: center; width: 74.7344px;">3</td>
<td style="width: 263.203px;">
<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 style="width: 185.312px;">Energy</td>
<td style="width: 147.938px;">China</td>
<td style="text-align: center; width: 74.8125px;">1</td>
</tr>
<tr>
<td style="text-align: center; width: 74.7344px;">4</td>
<td style="width: 263.203px;">
<a href="https://www.smartkarma.com/entities/posco" target="_blank" data-smartkarma-citation="entities:208:1" rel="noopener">Posco (005490 KS)</a> </td>
<td style="width: 185.312px;">Materials</td>
<td style="width: 147.938px;">Korea (South)</td>
<td style="text-align: center; width: 74.8125px;">21</td>
</tr>
<tr>
<td style="text-align: center; width: 74.7344px;">5</td>
<td style="width: 263.203px;">
<a href="https://www.smartkarma.com/entities/kia-motors-corp" target="_blank" data-smartkarma-citation="entities:156:1" rel="noopener">Kia Motors Corp (000270 KS)</a> </td>
<td style="width: 185.312px;">Consumer Discretionary</td>
<td style="width: 147.938px;">Korea (South)</td>
<td style="text-align: center; width: 74.8125px;">4</td>
</tr>
<tr>
<td style="text-align: center; width: 74.7344px;">6</td>
<td style="width: 263.203px;">
<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 style="width: 185.312px;">Financials</td>
<td style="width: 147.938px;">China</td>
<td style="text-align: center; width: 74.8125px;">5</td>
</tr>
<tr>
<td style="text-align: center; width: 74.7344px;">7</td>
<td style="width: 263.203px;">
<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 style="width: 185.312px;">Energy</td>
<td style="width: 147.938px;">Russian Federation</td>
<td style="text-align: center; width: 74.8125px;">14</td>
</tr>
<tr>
<td style="text-align: center; width: 74.7344px;">8</td>
<td style="width: 263.203px;">
<a href="https://www.smartkarma.com/entities/lukoil-pjsc" target="_blank" data-smartkarma-citation="entities:24141:1" rel="noopener">Lukoil PJSC (LKOD LI)</a> </td>
<td style="width: 185.312px;">Energy</td>
<td style="width: 147.938px;">Russian Federation</td>
<td style="text-align: center; width: 74.8125px;">32</td>
</tr>
<tr>
<td style="text-align: center; width: 74.7344px;">9</td>
<td style="width: 263.203px;">
<a href="https://www.smartkarma.com/entities/b3-sa-brasil-bolsa-balcao" target="_blank" data-smartkarma-citation="entities:24580:1" rel="noopener">B3 Sa - Brasil Bolsa Balcao (B3SA3 BZ)</a> </td>
<td style="width: 185.312px;">Financials</td>
<td style="width: 147.938px;">Brazil</td>
<td style="text-align: center; width: 74.8125px;">70</td>
</tr>
<tr>
<td style="text-align: center; width: 74.7344px;">10</td>
<td style="width: 263.203px;">
<a href="https://www.smartkarma.com/entities/china-construction-bank-h" target="_blank" data-smartkarma-citation="entities:45:1" rel="noopener">China Construction Bank H (939 HK)</a> </td>
<td style="width: 185.312px;">Financials</td>
<td style="width: 147.938px;">China</td>
<td style="text-align: center; width: 74.8125px;">41</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 Russian energy plays Gazprom PJSC (GAZP RM) and Lukoil PJSC (LKOD LI), Brazilian securities exchange B3 Sa - Brasil Bolsa Balcao (B3SA3 BZ), and China Construction Bank H (939 HK).









rank
Name
Sector
Location
prev.


1

SK Hynix (000660 KS) 
Information Technology
Korea (South)
3


2

China Mobile (941 HK) 
Communication
China
9


3

CNOOC Ltd (883 HK) 
Energy
China
1


4

Posco (005490 KS) 
Materials
Korea (South)
21


5

Kia Motors Corp (000270 KS) 
Consumer Discretionary
Korea (South)
4


6

Bank Of China Ltd (H) (3988 HK) 
Financials
China
5


7

Gazprom PJSC (GAZP RM) 
Energy
Russian Federation
14


8

Lukoil PJSC (LKOD LI) 
Energy
Russian Federation
32


9

B3 Sa - Brasil Bolsa Balcao (B3SA3 BZ) 
Financials
Brazil
70


10

China Construction Bank H (939 HK) 
Financials
China
41

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.

Brazil

B3 S.A. - Brasil, Bolsa, Balcao operates as a regional exchange. The Company provides integrated business model, including clearing and settlement activities, central depository services, and financial products for trading in equity, commodity, and derivatives. B3 S.A. - Brasil, Bolsa, Balcao serves customers worldwide.

Price Gauge
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B3 - Brasil Bolsa Balcao (B3SA3 BZ)

Global Exchanges – The Quest for Recurring Revenues

We identify MexBolsa, B3 and Deutsche Borse as exchanges that feature positively multiple times in our value screens and that are diversifying away...

Victor Galliano

Sticking With Cyclical Value and Defensives; Adding Large-Cap Japan Technology

Sticking With Cyclical Value & Defensives; Adding Large-Cap Japan Technology. 2-3 week bounce has likely run its course with $TOPIX $Nikkei 225,...

Vermilion Research

2022 High Conviction Ideas in FinTech & Financials

Our 2022 high conviction ideas include buys on Sberbank, Banco do Brasil and HDFC Bank, as well as BBVA, Banco BPM, B3, SGX, Mastercard and...

Victor Galliano

Exchanges – More than Just Trading Places

We assess exchanges based on revenue mix ex-trading; the poster child is ICE, other attractive stocks are Deutsche Borse, CBOE, B3 & BolsaMex, with...

Victor Galliano

Screening for GEMs: July 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

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