Korea/Asia, Events, IPOs, Douglas Research Advisory

Douglas Kim

Korea/Asia, Events, IPOs

Equity Capital Markets

<p>A battery developer<a href="https://www.electrive.com/2021/07/14/ses-to-hit-the-stock-market-via-merger-with-ivanhoe-capital/" target="_blank" rel="noopener"> SES</a> has announced it will merge with the SPAC Ivanhoe Capital Acquisition on the US stock exchange. After this merger with SPAC Ivanhoe, the company will have an estimated value of $3.6 billion. In this transaction, SES will receive $476 million. </p>

A battery developer SES has announced it will merge with the SPAC Ivanhoe Capital Acquisition on the US stock exchange. After this merger with SPAC Ivanhoe, the company will have an estimated value of $3.6 billion. In this transaction, SES will receive $476 million. 

The Merger Between SES & SPAC Ivanhoe - Impact on SK Holdings

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.

Cross Asset Strategy

<div class="content-highlight"><p>According to the KRX, it plans to launch new indices which would include the top 10 stocks in KOSPI including <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>. The name of this index is expected to be called <strong>KOSPI 200 Top 10.</strong> There will also be 2x levered indices based off the KOSPI 200 Top 10 index. These indices will be catered for those investors that are interested in the highest market cap companies within KOSPI 200.</p></div><p>Currently, the top 10 constitutents of the KOSPI 200 Top 10 Index will be expected to be composed of the following:</p><ol>
<li>
<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> </li>
<li>
<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> </li>
<li>
<a href="https://www.smartkarma.com/entities/lg-chem-ltd" target="_blank" data-smartkarma-citation="entities:3583:1" rel="noopener">LG Chem Ltd (051910 KS)</a> </li>
<li>
<a href="https://www.smartkarma.com/entities/naver-corp" target="_blank" data-smartkarma-citation="entities:16029:1" rel="noopener">Naver Corp (035420 KS)</a> </li>
<li>
<a href="https://www.smartkarma.com/entities/hyundai-motor-co" target="_blank" data-smartkarma-citation="entities:155:1" rel="noopener">Hyundai Motor Co (005380 KS)</a> </li>
<li>
<a href="https://www.smartkarma.com/entities/samsung-sdi-co-ltd" target="_blank" data-smartkarma-citation="entities:503:1" rel="noopener">Samsung SDI (006400 KS)</a> </li>
<li>
<a href="https://www.smartkarma.com/entities/celltrion-inc" target="_blank" data-smartkarma-citation="entities:991:1" rel="noopener">Celltrion Inc (068270 KS)</a> </li>
<li>
<a href="https://www.smartkarma.com/entities/kakao-corp" target="_blank" data-smartkarma-citation="entities:15002:1" rel="noopener">Kakao Corp (035720 KS)</a> </li>
<li>
<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> </li>
<li>
<a href="https://www.smartkarma.com/entities/hyundai-mobis-co-ltd" target="_blank" data-smartkarma-citation="entities:6089:1" rel="noopener">Hyundai Mobis (012330 KS)</a> </li>
</ol>

According to the KRX, it plans to launch new indices which would include the top 10 stocks in KOSPI including Samsung Electronics (005930 KS). The name of this index is expected to be called KOSPI 200 Top 10. There will also be 2x levered indices based off the KOSPI 200 Top 10 index. These indices will be catered for those investors that are interested in the highest market cap companies within KOSPI 200.Currently, the top 10 constitutents of the KOSPI 200 Top 10 Index will be expected to be composed of the following:

Samsung Electronics (005930 KS) 

SK Hynix (000660 KS) 

LG Chem Ltd (051910 KS) 

Naver Corp (035420 KS) 

Hyundai Motor Co (005380 KS) 

Samsung SDI (006400 KS) 

Celltrion Inc (068270 KS) 

Kakao Corp (035720 KS) 

Kia Motors Corp (000270 KS) 

Hyundai Mobis (012330 KS) 


KRX Plans to Launch a New Index Called 'KOSPI 200 Top 10'

<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 South Korean auto names, <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> and <a href="https://www.smartkarma.com/entities/hyundai-motor-co" target="_blank" data-smartkarma-citation="entities:155:1" rel="noopener">Hyundai Motor Co (005380 KS)</a> as well as Brazilian state-owned energy giant, <a href="https://www.smartkarma.com/entities/petroleo-brasileiro-sa" target="_blank" data-smartkarma-citation="entities:24459:1" rel="noopener">Petroleo Brasileiro Sa (PETR3 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/cnooc-ltd" target="_blank" data-smartkarma-citation="entities:175:1" rel="noopener">CNOOC Ltd (883 HK)</a></td>
<td>Energy</td>
<td>China</td>
<td style="text-align: center;">1</td>
</tr>
<tr>
<td style="text-align: center;">2</td>
<td><a href="https://www.smartkarma.com/entities/mediatek-inc" target="_blank" data-smartkarma-citation="entities:772:1" rel="noopener">Mediatek Inc (2454 TT)</a></td>
<td>Information Technology</td>
<td>Taiwan</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/sk-hynix-inc" target="_blank" data-smartkarma-citation="entities:16955:1" rel="noopener">SK Hynix (000660 KS)</a></td>
<td>Information Technology</td>
<td>Korea (South)</td>
<td style="text-align: center;">23</td>
</tr>
<tr>
<td style="text-align: center;">4</td>
<td><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>Consumer Discretionary</td>
<td>Korea (South)</td>
<td style="text-align: center;">60</td>
</tr>
<tr>
<td style="text-align: center;">5</td>
<td><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>Financials</td>
<td>China</td>
<td style="text-align: center;">25</td>
</tr>
<tr>
<td style="text-align: center;">6</td>
<td><a href="https://www.smartkarma.com/entities/ptt-pcl" target="_blank" data-smartkarma-citation="entities:197:1" rel="noopener">PTT PCL (PTT TB)</a></td>
<td>Energy</td>
<td>Thailand</td>
<td style="text-align: center;">4</td>
</tr>
<tr>
<td style="text-align: center;">7</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;">9</td>
</tr>
<tr>
<td style="text-align: center;">8</td>
<td><a href="https://www.smartkarma.com/entities/hyundai-motor-co" target="_blank" data-smartkarma-citation="entities:155:1" rel="noopener">Hyundai Motor Co (005380 KS)</a></td>
<td>Consumer Discretionary</td>
<td>Korea (South)</td>
<td style="text-align: center;">80</td>
</tr>
<tr>
<td style="text-align: center;">9</td>
<td><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>Communication</td>
<td>China</td>
<td style="text-align: center;">29</td>
</tr>
<tr>
<td style="text-align: center;">10</td>
<td><a href="https://www.smartkarma.com/entities/petroleo-brasileiro-sa" target="_blank" data-smartkarma-citation="entities:24459:1" rel="noopener">Petroleo Brasileiro Sa (PETR3 BZ)</a></td>
<td>Energy</td>
<td>Brazil</td>
<td style="text-align: center;">59</td>
</tr>
<tr><td colspan="5" style="text-align: left;"><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 South Korean auto names, Kia Motors Corp (000270 KS) and Hyundai Motor Co (005380 KS) as well as Brazilian state-owned energy giant, Petroleo Brasileiro Sa (PETR3 BZ).









rank
Name
Sector
Location
prev.


1
CNOOC Ltd (883 HK)
Energy
China
1


2
Mediatek Inc (2454 TT)
Information Technology
Taiwan
5


3
SK Hynix (000660 KS)
Information Technology
Korea (South)
23


4
Kia Motors Corp (000270 KS)
Consumer Discretionary
Korea (South)
60


5
Bank Of China Ltd (H) (3988 HK)
Financials
China
25


6
PTT PCL (PTT TB)
Energy
Thailand
4


7
Samsung Electronics (005930 KS)
Information Technology
Korea (South)
9


8
Hyundai Motor Co (005380 KS)
Consumer Discretionary
Korea (South)
80


9
China Mobile (941 HK)
Communication
China
29


10
Petroleo Brasileiro Sa (PETR3 BZ)
Energy
Brazil
59

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.

Korea / Special Sits, Pairs, Index Rebalancing, Clepsydra Capital

Sanghyun Park

Korea / Special Sits, Pairs, Index Rebalancing

Clepsydra Capital

Investigate special situations, pairs, and index rebalancing trades in Korea.

Event-Driven

<p>Hyundai mobis continues to be in a harsh diversion relative to its siblings, Kia Corp and Hyundai Motor. It is at a -2.25σ on a 20-day moving average vs. Kia Corp. The 20-day sigma relative to Hyundai Motor is -1.55 now. </p><table class="table table-striped">
<colgroup>
<col width="70">
<col width="70">
<col width="70">
<col width="70">
<col width="70">
</colgroup>
<tbody>
<tr>
<td style="width: 147.682px;" data-sheets-value='{"1":2,"2":"Comp 1 (Long)"}'>Comp 1 (Long)</td>
<td style="width: 115.56px;" data-sheets-value='{"1":2,"2":"Comp 2 (Short)"}'>Comp 2 (Short)</td>
<td style="text-align: right; width: 117.552px;" data-sheets-value='{"1":2,"2":"Sigma on a 20-day moving average"}'>Sigma on a 20-day moving average</td>
<td style="text-align: right; width: 127.604px;" data-sheets-value='{"1":2,"2":"180-day correlation coefficient"}'>180-day correlation coefficient</td>
<td style="text-align: right; width: 133.659px;" data-sheets-value='{"1":2,"2":"Cointegration coefficient (180-day price Δ beta)"}'>Cointegration coefficient (180-day price Δ beta)</td>
</tr>
<tr>
<td style="width: 147.682px;" data-sheets-value='{"1":2,"2":"HYUNDAI MOBIS CO., LTD."}' data-sheets-formula="=Data!R[-1]C[1]"><strong>HYUNDAI MOBIS CO., LTD.</strong></td>
<td style="width: 115.56px;" data-sheets-value='{"1":2,"2":"Kia Corp"}' data-sheets-formula="=Data!R[-1]C[1]"><strong>Kia Corp</strong></td>
<td style="text-align: right; width: 117.552px;" data-sheets-value='{"1":3,"3":-2.2518639492767143}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=R[8]C[-1]"><strong>-2.25</strong></td>
<td style="text-align: right; width: 127.604px;" data-sheets-value='{"1":3,"3":0.7480010585761807}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=correl(index(googlefinance(R[0]C[2], "price",today()-200, today()), 0,2), index(googlefinance(R[0]C[3], "price",today()-200, today()), 0,2))'>0.75</td>
<td style="text-align: right; width: 133.659px;" data-sheets-value='{"1":3,"3":0.5563729124603229}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=Beta!R[2]C[-3]">0.56</td>
</tr>
<tr>
<td style="width: 147.682px;" data-sheets-value='{"1":2,"2":"HYUNDAI MOBIS CO., LTD."}' data-sheets-formula="=Data!R[-2]C[3]"><strong>HYUNDAI MOBIS CO., LTD.</strong></td>
<td style="width: 115.56px;" data-sheets-value='{"1":2,"2":"Hyundai Motor Co"}' data-sheets-formula="=Data!R[-2]C[3]"><strong>Hyundai Motor Co</strong></td>
<td style="text-align: right; width: 117.552px;" data-sheets-value='{"1":3,"3":-1.5544482164241549}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=R[8]C[-1]"><strong>-1.55</strong></td>
<td style="text-align: right; width: 127.604px;" data-sheets-value='{"1":3,"3":0.929675478057548}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=correl(index(googlefinance(R[0]C[2], "price",today()-200, today()), 0,2), index(googlefinance(R[0]C[3], "price",today()-200, today()), 0,2))'>0.93</td>
<td style="text-align: right; width: 133.659px;" data-sheets-value='{"1":3,"3":0.7886057127133221}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=Beta!R[1]C[-1]">0.79</td>
</tr>
<tr><td colspan="5" style="width: 726.016px;">Source: KRX</td></tr>
</tbody>
</table><p>The current price ratio is 19.25% and 9.09% below the 180-day mean vs. Kia Corp and Hyundai Motor, respectively. Mobis is currently at a 180-day low to both Kia and Hyundai Motor.</p><table class="table table-striped">
<colgroup>
<col width="70">
<col width="70">
<col width="70">
<col width="70">
<col width="70">
</colgroup>
<tbody>
<tr>
<td style="width: 149.466px;" data-sheets-value='{"1":2,"2":"Comp 1 (Long)"}'>Comp 1 (Long)</td>
<td style="width: 120.391px;" data-sheets-value='{"1":2,"2":"Comp 2 (Short)"}'>Comp 2 (Short)</td>
<td style="text-align: right; width: 118.372px;" data-sheets-value='{"1":2,"2":"Price ratio %Δ to 180-day mean"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]'>Price ratio %Δ to 180-day mean</td>
<td style="text-align: right; width: 128.398px;" data-sheets-value='{"1":2,"2":"Price ratio %Δ to 180-day high"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]'>Price ratio %Δ to 180-day high</td>
<td style="text-align: right; width: 125.43px;" data-sheets-value='{"1":2,"2":"Price ratio %Δ to 180-day low"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]'>Price ratio %Δ to 180-day low</td>
</tr>
<tr>
<td style="width: 149.466px;" data-sheets-value='{"1":2,"2":"HYUNDAI MOBIS CO., LTD."}' data-sheets-formula="=R[-16]C[0]"><strong>HYUNDAI MOBIS CO., LTD.</strong></td>
<td style="width: 120.391px;" data-sheets-value='{"1":2,"2":"Kia Corp"}' data-sheets-formula="=R[-16]C[0]"><strong>Kia Corp</strong></td>
<td style="text-align: right; width: 118.372px;" data-sheets-value='{"1":3,"3":-0.19253623208265946}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=(R[0]C6-R[0]C[4])/R[0]C[4]"><strong>-19.25%</strong></td>
<td style="text-align: right; width: 128.398px;" data-sheets-value='{"1":3,"3":-0.3974244135311329}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=(R[0]C6-R[0]C[4])/R[0]C[4]">-39.74%</td>
<td style="text-align: right; width: 125.43px;" data-sheets-value='{"1":3,"3":0}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=(R[0]C6-R[0]C[4])/R[0]C[4]">0.00%</td>
</tr>
<tr>
<td style="width: 149.466px;" data-sheets-value='{"1":2,"2":"HYUNDAI MOBIS CO., LTD."}' data-sheets-formula="=R[-16]C[0]"><strong>HYUNDAI MOBIS CO., LTD.</strong></td>
<td style="width: 120.391px;" data-sheets-value='{"1":2,"2":"Hyundai Motor Co"}' data-sheets-formula="=R[-16]C[0]"><strong>Hyundai Motor Co</strong></td>
<td style="text-align: right; width: 118.372px;" data-sheets-value='{"1":3,"3":-0.09085981735173156}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=(R[0]C6-R[0]C[4])/R[0]C[4]"><strong>-9.09%</strong></td>
<td style="text-align: right; width: 128.398px;" data-sheets-value='{"1":3,"3":-0.18788573693448832}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=(R[0]C6-R[0]C[4])/R[0]C[4]">-18.79%</td>
<td style="text-align: right; width: 125.43px;" data-sheets-value='{"1":3,"3":0}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=(R[0]C6-R[0]C[4])/R[0]C[4]">0.00%</td>
</tr>
<tr><td colspan="5" style="width: 726.016px;">Source: KRX</td></tr>
</tbody>
</table><section class="figure"><figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/209/837/original/HYUNDAI+MOBIS+CO.%2C+LTD.+vs.+Kia+Corp.png?1622273377" class="editor-image img-responsive" data-smartkarma-image-id="209837"></figure></section><section class="figure"><figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/209/838/original/HYUNDAI+MOBIS+CO.%2C+LTD.+vs.+Hyundai+Motor+Co.png?1622273387" class="editor-image img-responsive" data-smartkarma-image-id="209838"></figure></section>

Hyundai mobis continues to be in a harsh diversion relative to its siblings, Kia Corp and Hyundai Motor. It is at a -2.25σ on a 20-day moving average vs. Kia Corp. The 20-day sigma relative to Hyundai Motor is -1.55 now. 









Comp 1 (Long)
Comp 2 (Short)
Sigma on a 20-day moving average
180-day correlation coefficient
Cointegration coefficient (180-day price Δ beta)


HYUNDAI MOBIS CO., LTD.
Kia Corp
-2.25
0.75
0.56


HYUNDAI MOBIS CO., LTD.
Hyundai Motor Co
-1.55
0.93
0.79

Source: KRX

The current price ratio is 19.25% and 9.09% below the 180-day mean vs. Kia Corp and Hyundai Motor, respectively. Mobis is currently at a 180-day low to both Kia and Hyundai Motor.









Comp 1 (Long)
Comp 2 (Short)
Price ratio %Δ to 180-day mean
Price ratio %Δ to 180-day high
Price ratio %Δ to 180-day low


HYUNDAI MOBIS CO., LTD.
Kia Corp
-19.25%
-39.74%
0.00%


HYUNDAI MOBIS CO., LTD.
Hyundai Motor Co
-9.09%
-18.79%
0.00%

Source: KRX



Korea Sector Pair: Hyundai Mobis Vs. Kia and Hyundai Motor

South Korea

Kia Corporation manufactures, sells, and exports passenger cars, mini-buses, trucks and commercial vehicles. The Company also manufactures auto-parts and tools using hybrid electric and fuel cell technology. Kia markets its products worldwide.

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Kia Corp (000270 KS)

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