Pan-Asia Index Rebalances/ Events/ Delta One, Periscope Analytics

Brian Freitas

Pan-Asia Index Rebalances/ Events/ Delta One

Quantitative Analysis

Short selling has finally resumed in Korea and it has been a busy couple of days on that front with foreign investors piling into stocks that have run up more than their peers over the last year and are potentially overvalued.Long/short pairs could be implemented in Korea during the short sell ban if you had long inventory or if there were listed single stock futures on the short leg.With short selling permitted on constituents of the <a href="https://www.smartkarma.com/entities/korea-stock-exchange-kospi-200-index" target="_blank" data-smartkarma-citation="entities:26021:1" rel="noopener">Korea Stock Exchange Kospi 200 Index (KOSPI2 INDEX)</a>, we take a look at long/short pairs where both stocks are members of the index. These pairs belong to the same GICS sub-industry, are correlated and exhibit mean-reversion. We also use short sale data from the last couple of trading sessions to see which stocks are being targeted by short sellers.

Short selling has finally resumed in Korea and it has been a busy couple of days on that front with foreign investors piling into stocks that have run up more than their peers over the last year and are potentially overvalued.Long/short pairs could be implemented in Korea during the short sell ban if you had long inventory or if there were listed single stock futures on the short leg.With short selling permitted on constituents of the Korea Stock Exchange Kospi 200 Index (KOSPI2 INDEX), we take a look at long/short pairs where both stocks are members of the index. These pairs belong to the same GICS sub-industry, are correlated and exhibit mean-reversion. We also use short sale data from the last couple of trading sessions to see which stocks are being targeted by short sellers.

Korea Pair Trades: High Risk/Reward Names with Short Sell Screen

Founder/CEO of ROK Advisory, ROK Advisory LLC

Ken S. Kim

Founder/CEO of ROK Advisory

ROK Advisory LLC

ROK is an independent research advisory firm. We guide you to minimize the information gap between foreign and local investors in Northeast Asia with a focus in Korea, Taiwan and Japan.

Independent Research Advisory Firm

Event-Driven

The talk of M&amp;A interest by Samsung Electronics has been making the rounds again and the question is how does <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> grow with the current leader locked up in jail? <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> seems to be central to where the Group goes.

The talk of M&amp;A interest by Samsung Electronics has been making the rounds again and the question is how does Samsung Electronics (005930 KS) grow with the current leader locked up in jail? Samsung SDI (006400 KS) seems to be central to where the Group goes.

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.

Korea has 6 closely correlated and co-integrated sector pairs. All of them have a +0.8 180-day correlation coefficient. Also, they all have a sufficiently linear 180-day price scattered chart showing the nature of their high cointegration.<table class="table table-striped">
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<tr><td colspan="5" rowspan="1" style="width: 723.636px;" data-sheets-value='{"1":2,"2":"Closely correlated &amp; co-integrated sector pairs in Korea"}'>Closely correlated &amp; co-integrated sector pairs in Korea</td></tr>
<tr>
<td style="width: 181.818px;" data-sheets-value='{"1":2,"2":"Name"}'>Name</td>
<td style="width: 96.3636px;" data-sheets-value='{"1":2,"2":"Ticker"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]'>Ticker</td>
<td style="width: 165.455px;" data-sheets-value='{"1":2,"2":"Name"}'>Name</td>
<td style="width: 60.9091px;" data-sheets-value='{"1":2,"2":"Ticker"}'>Ticker</td>
<td style="text-align: right; width: 135.455px;" data-sheets-value='{"1":2,"2":"180-day correlation"}'>180-day correlation</td>
</tr>
<tr>
<td style="width: 181.818px;" data-sheets-value='{"1":2,"2":"Shinhan Financial Group Co., Ltd."}' data-sheets-formula="=Data!R[-2]C[1]">Shinhan Financial Group Co., Ltd.</td>
<td style="width: 96.3636px;" data-sheets-value='{"1":2,"2":"055550"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]' data-sheets-formula="=Data!R[-1]C[0]">055550</td>
<td style="width: 165.455px;" data-sheets-value='{"1":2,"2":"KB Financial Group Inc"}' data-sheets-formula="=Data!R[-2]C[0]">KB Financial Group Inc</td>
<td style="width: 60.9091px;" data-sheets-value='{"1":2,"2":"105560"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]' data-sheets-formula="=Data!R[-1]C[-1]">105560</td>
<td style="text-align: right; width: 135.455px;" data-sheets-value='{"1":3,"3":0.9610517352067552}' data-sheets-numberformat='[null,2,"#,##0.00000",1]' data-sheets-formula="=correl('1'!R870C10:R994C10, '1'!R870C11:R994C11)">0.96105</td>
</tr>
<tr>
<td style="width: 181.818px;" data-sheets-value='{"1":2,"2":"LG Uplus Corp"}' data-sheets-formula="=Data!R[-3]C[3]">LG Uplus Corp</td>
<td style="width: 96.3636px;" data-sheets-value='{"1":2,"2":"032640"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]' data-sheets-formula="=Data!R[-2]C[2]">032640</td>
<td style="width: 165.455px;" data-sheets-value='{"1":2,"2":"SK Telecom Co Ltd"}' data-sheets-formula="=Data!R[-3]C[2]">SK Telecom Co Ltd</td>
<td style="width: 60.9091px;" data-sheets-value='{"1":2,"2":"017670"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]' data-sheets-formula="=Data!R[-2]C[1]">017670</td>
<td style="text-align: right; width: 135.455px;" data-sheets-value='{"1":3,"3":0.8992786663054949}' data-sheets-numberformat='[null,2,"#,##0.00000",1]' data-sheets-formula="=correl('2'!R870C10:R994C10, '2'!R870C11:R994C11)">0.89928</td>
</tr>
<tr>
<td style="width: 181.818px;" data-sheets-value='{"1":2,"2":"Kia Corp"}' data-sheets-formula="=Data!R[-4]C[5]">Kia Corp</td>
<td style="width: 96.3636px;" data-sheets-value='{"1":2,"2":"000270"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]' data-sheets-formula="=Data!R[-3]C[4]">000270</td>
<td style="width: 165.455px;" data-sheets-value='{"1":2,"2":"Hyundai Motor Co"}' data-sheets-formula="=Data!R[-4]C[4]">Hyundai Motor Co</td>
<td style="width: 60.9091px;" data-sheets-value='{"1":2,"2":"005380"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]' data-sheets-formula="=Data!R[-3]C[3]">005380</td>
<td style="text-align: right; width: 135.455px;" data-sheets-value='{"1":3,"3":0.8668911065680154}' data-sheets-numberformat='[null,2,"#,##0.00000",1]' data-sheets-formula="=correl('3'!R870C10:R994C10, '3'!R870C11:R994C11)">0.86689</td>
</tr>
<tr>
<td style="width: 181.818px;" data-sheets-value='{"1":2,"2":"Celltrion HealthCare Co Ltd"}' data-sheets-formula="=Data!R[-5]C[7]">Celltrion HealthCare Co Ltd</td>
<td style="width: 96.3636px;" data-sheets-value='{"1":2,"2":"091990"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]' data-sheets-formula="=Data!R[-4]C[6]">091990</td>
<td style="width: 165.455px;" data-sheets-value='{"1":2,"2":"Celltrion, Inc."}' data-sheets-formula="=Data!R[-5]C[6]">Celltrion, Inc.</td>
<td style="width: 60.9091px;" data-sheets-value='{"1":2,"2":"068270"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]' data-sheets-formula="=Data!R[-4]C[5]">068270</td>
<td style="text-align: right; width: 135.455px;" data-sheets-value='{"1":3,"3":0.850526307159412}' data-sheets-numberformat='[null,2,"#,##0.00000",1]' data-sheets-formula="=correl('4'!R870C10:R994C10, '4'!R870C11:R994C11)">0.85053</td>
</tr>
<tr>
<td style="width: 181.818px;" data-sheets-value='{"1":2,"2":"BGF Retail Co Ltd"}' data-sheets-formula="=Data!R[-6]C[9]">BGF Retail Co Ltd</td>
<td style="width: 96.3636px;" data-sheets-value='{"1":2,"2":"282330"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]' data-sheets-formula="=Data!R[-5]C[8]">282330</td>
<td style="width: 165.455px;" data-sheets-value='{"1":2,"2":"GS Retail Co Ltd"}' data-sheets-formula="=Data!R[-6]C[8]">GS Retail Co Ltd</td>
<td style="width: 60.9091px;" data-sheets-value='{"1":2,"2":"007070"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]' data-sheets-formula="=Data!R[-5]C[7]">007070</td>
<td style="text-align: right; width: 135.455px;" data-sheets-value='{"1":3,"3":0.7760017852780396}' data-sheets-numberformat='[null,2,"#,##0.00000",1]' data-sheets-formula="=correl('5'!R870C10:R994C10, '5'!R870C11:R994C11)">0.77600</td>
</tr>
<tr>
<td style="width: 181.818px;" data-sheets-value='{"1":2,"2":"Hyundai Department Store Co Ltd"}' data-sheets-formula="=Data!R[-7]C[11]">Hyundai Department Store Co Ltd</td>
<td style="width: 96.3636px;" data-sheets-value='{"1":2,"2":"069960"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]' data-sheets-formula="=Data!R[-6]C[10]">069960</td>
<td style="width: 165.455px;" data-sheets-value='{"1":2,"2":"Shinsegae Inc"}' data-sheets-formula="=Data!R[-7]C[10]">Shinsegae Inc</td>
<td style="width: 60.9091px;" data-sheets-value='{"1":2,"2":"004170"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]' data-sheets-formula="=Data!R[-6]C[9]">004170</td>
<td style="text-align: right; width: 135.455px;" data-sheets-value='{"1":3,"3":0.9327816777063404}' data-sheets-numberformat='[null,2,"#,##0.00000",1]' data-sheets-formula="=correl('6'!R870C10:R994C10, '6'!R870C11:R994C11)">0.93278</td>
</tr>
<tr><td colspan="5" rowspan="1" style="width: 723.636px;" data-sheets-value='{"1":2,"2":"Source: KRX"}'>Source: KRX</td></tr>
</tbody>
</table>In the light of the short-selling resumption next week, these sector pairs will likely draw attention.Then, which pair is at an extreme sigma (±2.0σ) on a 20-day moving average? At the last close, three pairs come on the radar.<ol>
<li>Shinhan Financial and KB Financial: +2.16σ</li>
<li>Kia Corp and Hyundai Motor: -2.04σ</li>
<li>Hyundai Department Store and Shinsegae: -1.81σ</li>
</ol><table class="table table-striped">
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<td style="width: 320.909px;" data-sheets-value='{"1":2,"2":"Sigma (σ) on a 20-day moving average"}'>Sigma (σ) on a 20-day moving average</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":2,"2":"Today"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]'>Today</td>
<td style="text-align: right; width: 45.4545px;" data-sheets-value='{"1":2,"2":"T-1"}'>T-1</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":2,"2":"T-2"}'>T-2</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":2,"2":"T-3"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]'>T-3</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":2,"2":"T-4"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]'>T-4</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":2,"2":"T-5"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]'>T-5</td>
</tr>
<tr>
<td style="width: 320.909px;" data-sheets-value='{"1":2,"2":"Shinhan Financial Group Co., Ltd./KB Financial Group Inc"}' data-sheets-formula='=Data!R[-11]C[1]&amp;"/"&amp;Data!R[-11]C[2]'>Shinhan Financial Group Co., Ltd./KB Financial Group Inc</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":3,"3":2.160993227615466}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$2")'>2.16</td>
<td style="text-align: right; width: 45.4545px;" data-sheets-value='{"1":3,"3":2.542772683735228}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$3")'>2.54</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":3,"3":1.786381555409661}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$4")'>1.79</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":3,"3":1.1128800501751042}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$5")'>1.11</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":3,"3":0.181530165798035}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$6")'>0.18</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":3,"3":-0.22641999615163677}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$7")'>-0.23</td>
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<td style="width: 320.909px;" data-sheets-value='{"1":2,"2":"LG Uplus Corp/SK Telecom Co Ltd"}' data-sheets-formula='=Data!R[-12]C[3]&amp;"/"&amp;Data!R[-12]C[4]'>LG Uplus Corp/SK Telecom Co Ltd</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":3,"3":-0.24660010671563912}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$2")'>-0.25</td>
<td style="text-align: right; width: 45.4545px;" data-sheets-value='{"1":3,"3":-0.10403426571856596}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$3")'>-0.10</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":3,"3":-1.6117954095017157}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$4")'>-1.61</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":3,"3":-1.6376484979254156}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$5")'>-1.64</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":3,"3":-1.4249128627679264}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$6")'>-1.42</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":3,"3":-2.087684413507805}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$7")'>-2.09</td>
</tr>
<tr>
<td style="width: 320.909px;" data-sheets-value='{"1":2,"2":"Kia Corp/Hyundai Motor Co"}' data-sheets-formula='=Data!R[-13]C[5]&amp;"/"&amp;Data!R[-13]C[6]'>Kia Corp/Hyundai Motor Co</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":3,"3":-2.0407109696616685}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$2")'>-2.04</td>
<td style="text-align: right; width: 45.4545px;" data-sheets-value='{"1":3,"3":-2.0025888653486463}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$3")'>-2.00</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":3,"3":-1.1695043509161958}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$4")'>-1.17</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":3,"3":-0.004698906236027549}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$5")'>0.00</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":3,"3":0.10273148905333784}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$6")'>0.10</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":3,"3":-1.0802292544899608}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$7")'>-1.08</td>
</tr>
<tr>
<td style="width: 320.909px;" data-sheets-value='{"1":2,"2":"Celltrion HealthCare Co Ltd/Celltrion, Inc."}' data-sheets-formula='=Data!R[-14]C[7]&amp;"/"&amp;Data!R[-14]C[8]'>Celltrion HealthCare Co Ltd/Celltrion, Inc.</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":3,"3":-0.31044173489418}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$2")'>-0.31</td>
<td style="text-align: right; width: 45.4545px;" data-sheets-value='{"1":3,"3":-0.7388105592067177}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$3")'>-0.74</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":3,"3":-1.0110561898756243}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$4")'>-1.01</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":3,"3":-0.0565672498648304}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$5")'>-0.06</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":3,"3":-0.1863196550598434}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$6")'>-0.19</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":3,"3":0.5127886597937376}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$7")'>0.51</td>
</tr>
<tr>
<td style="width: 320.909px;" data-sheets-value='{"1":2,"2":"BGF Retail Co Ltd/GS Retail Co Ltd"}' data-sheets-formula='=Data!R[-15]C[9]&amp;"/"&amp;Data!R[-15]C[10]'>BGF Retail Co Ltd/GS Retail Co Ltd</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":3,"3":0.2360588141562515}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$2")'>0.24</td>
<td style="text-align: right; width: 45.4545px;" data-sheets-value='{"1":3,"3":-2.102593735245234}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$3")'>-2.10</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":3,"3":-2.5568836748773385}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$4")'>-2.56</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":3,"3":-2.3214237049099196}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$5")'>-2.32</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":3,"3":-0.024092449046153583}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$6")'>-0.02</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":3,"3":0.4712110272418423}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$7")'>0.47</td>
</tr>
<tr>
<td style="width: 320.909px;" data-sheets-value='{"1":2,"2":"Hyundai Department Store Co Ltd/Shinsegae Inc"}' data-sheets-formula='=Data!R[-16]C[11]&amp;"/"&amp;Data!R[-16]C[12]'>Hyundai Department Store Co Ltd/Shinsegae Inc</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":3,"3":-1.807722354711979}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$2")'>-1.81</td>
<td style="text-align: right; width: 45.4545px;" data-sheets-value='{"1":3,"3":-2.309293992473888}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$3")'>-2.31</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":3,"3":-2.530789825470454}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$4")'>-2.53</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":3,"3":-1.733312375711856}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$5")'>-1.73</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":3,"3":-1.3190244950375916}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$6")'>-1.32</td>
<td style="text-align: right; width: 46.3636px;" data-sheets-value='{"1":3,"3":-0.03766239765956894}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=indirect(R[0]C8&amp;"!$I$7")'>-0.04</td>
</tr>
<tr><td colspan="7" rowspan="1" style="width: 723.636px;" data-sheets-value='{"1":2,"2":"Source: KRX"}'>Source: KRX</td></tr>
</tbody>
</table>Out of these three pairs currently at ±2.0σ, the Kia Corp/Hyundai Motor pair deserves special attention as mean reversion appears already in progress for the other two pairs.

Korea has 6 closely correlated and co-integrated sector pairs. All of them have a +0.8 180-day correlation coefficient. Also, they all have a sufficiently linear 180-day price scattered chart showing the nature of their high cointegration.








Closely correlated &amp; co-integrated sector pairs in Korea

Name
Ticker
Name
Ticker
180-day correlation


Shinhan Financial Group Co., Ltd.
055550
KB Financial Group Inc
105560
0.96105


LG Uplus Corp
032640
SK Telecom Co Ltd
017670
0.89928


Kia Corp
000270
Hyundai Motor Co
005380
0.86689


Celltrion HealthCare Co Ltd
091990
Celltrion, Inc.
068270
0.85053


BGF Retail Co Ltd
282330
GS Retail Co Ltd
007070
0.77600


Hyundai Department Store Co Ltd
069960
Shinsegae Inc
004170
0.93278

Source: KRX

In the light of the short-selling resumption next week, these sector pairs will likely draw attention.Then, which pair is at an extreme sigma (±2.0σ) on a 20-day moving average? At the last close, three pairs come on the radar.
Shinhan Financial and KB Financial: +2.16σ
Kia Corp and Hyundai Motor: -2.04σ
Hyundai Department Store and Shinsegae: -1.81σ












Sigma (σ) on a 20-day moving average
Today
T-1
T-2
T-3
T-4
T-5


Shinhan Financial Group Co., Ltd./KB Financial Group Inc
2.16
2.54
1.79
1.11
0.18
-0.23


LG Uplus Corp/SK Telecom Co Ltd
-0.25
-0.10
-1.61
-1.64
-1.42
-2.09


Kia Corp/Hyundai Motor Co
-2.04
-2.00
-1.17
0.00
0.10
-1.08


Celltrion HealthCare Co Ltd/Celltrion, Inc.
-0.31
-0.74
-1.01
-0.06
-0.19
0.51


BGF Retail Co Ltd/GS Retail Co Ltd
0.24
-2.10
-2.56
-2.32
-0.02
0.47


Hyundai Department Store Co Ltd/Shinsegae Inc
-1.81
-2.31
-2.53
-1.73
-1.32
-0.04

Source: KRX

Out of these three pairs currently at ±2.0σ, the Kia Corp/Hyundai Motor pair deserves special attention as mean reversion appears already in progress for the other two pairs.

Korea Pair Trade Idea: 6 Closely Correlated & Cointegrated Sector Pairs

<div>The Asia Short Interest weekly looks at moves in market wide short interest and highlights movements in stock specific short interest across Hong Kong, Japan, Korea and Taiwan using the last available data published by the relevant authorities.</div><div>Hong Kong saw shorts rise on <a href="https://www.smartkarma.com/entities/tencent-holdings-ltd" target="_blank" data-smartkarma-citation="entities:26:1" rel="noopener">Tencent Holdings (700 HK)</a>, <a href="https://www.smartkarma.com/entities/meituan-dianping" target="_blank" data-smartkarma-citation="entities:26970:1" rel="noopener">Meituan (3690 HK)</a>, <a href="https://www.smartkarma.com/entities/china-merchants-bank-co-ltd-3388a037-4214-4997-b45d-520518cfdb57" target="_blank" data-smartkarma-citation="entities:10987:1" rel="noopener">China Merchants Bank H (3968 HK)</a>, <a href="https://www.smartkarma.com/entities/wuxi-apptec-co-ltd-bf4a1265-beef-48b6-b82d-29308426030f" target="_blank" data-smartkarma-citation="entities:27795:1" rel="noopener">WuXi AppTec Co. Ltd. (2359 HK)</a> and <a href="https://www.smartkarma.com/entities/sunny-optical-tech" target="_blank" data-smartkarma-citation="entities:13363:1" rel="noopener">Sunny Optical (2382 HK)</a> while there was short covering on <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>, <a href="https://www.smartkarma.com/entities/baidu-inc-a55ca720-5968-48f0-8194-ac94390d065c" target="_blank" data-smartkarma-citation="entities:32212:1" rel="noopener">Baidu (9888 HK)</a>, <a href="https://www.smartkarma.com/entities/haier-smart-home-co-ltd-b3ef445f-0f54-4586-8c58-9073de98d60e" target="_blank" data-smartkarma-citation="entities:31105:1" rel="noopener">Haier Smart Home Co Ltd (6690 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> and <a href="https://www.smartkarma.com/entities/citic-securities-h" target="_blank" data-smartkarma-citation="entities:463:1" rel="noopener">Citic Securities (H) (6030 HK)</a>. Shorts increased in the Communication Services, Consumer Discretionary, Health Care and Real Estate sectors, and decreased in the Financials, Industrials, and Information Technology sectors.</div><div>In Japan, stocks that saw the most shorts were <a href="https://www.smartkarma.com/entities/lasertec-corp" target="_blank" data-smartkarma-citation="entities:4126:1" rel="noopener">Lasertec Corp (6920 JP)</a>, <a href="https://www.smartkarma.com/entities/anritsu-corp" target="_blank" data-smartkarma-citation="entities:3700:1" rel="noopener">Anritsu Corp (6754 JP)</a>, <a href="https://www.smartkarma.com/entities/daito-trust-construct-co-ltd" target="_blank" data-smartkarma-citation="entities:10503:1" rel="noopener">Daito Trust Construct (1878 JP)</a>, <a href="https://www.smartkarma.com/entities/jfe-holdings-inc" target="_blank" data-smartkarma-citation="entities:210:1" rel="noopener">JFE Holdings (5411 JP)</a> and <a href="https://www.smartkarma.com/entities/tokyu-fudosan-holdings-corp" target="_blank" data-smartkarma-citation="entities:8355:1" rel="noopener">Tokyu Fudosan Holdings (3289 JP)</a> while shorts decreased on <a href="https://www.smartkarma.com/entities/toshiba-corp" target="_blank" data-smartkarma-citation="entities:637:1" rel="noopener">Toshiba Corp (6502 JP)</a>, <a href="https://www.smartkarma.com/entities/ana-holdings-inc" target="_blank" data-smartkarma-citation="entities:5308:1" rel="noopener">Ana Holdings (9202 JP)</a>, <a href="https://www.smartkarma.com/entities/h-i-s-co-ltd" target="_blank" data-smartkarma-citation="entities:19311:1" rel="noopener">H I S Co Ltd (9603 JP)</a>, <a href="https://www.smartkarma.com/entities/outsourcing-inc" target="_blank" data-smartkarma-citation="entities:7431:1" rel="noopener">Outsourcing Inc (2427 JP)</a> and <a href="https://www.smartkarma.com/entities/euglena-co-ltd" target="_blank" data-smartkarma-citation="entities:8414:1" rel="noopener">Euglena Co Ltd (2931 JP)</a>. Shorts increased in the Real Estate and Consumer Discretionary sectors, and decreased in the Industrials sector.</div><div>In Korea, shorts increased on <a href="https://www.smartkarma.com/entities/celltrion-inc" target="_blank" data-smartkarma-citation="entities:991:1" rel="noopener">Celltrion Inc (068270 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> during the week while decreasing on <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>, <a href="https://www.smartkarma.com/entities/hyundai-heavy-industries" target="_blank" data-smartkarma-citation="entities:10155:1" rel="noopener">Hyundai Heavy Industries (009540 KS)</a> and <a href="https://www.smartkarma.com/entities/doosan-infracore-co-ltd" target="_blank" data-smartkarma-citation="entities:3982:1" rel="noopener">Doosan Infracore (042670 KS)</a>. The short sell ban has ended today and short selling will be permitted on <a href="https://www.smartkarma.com/entities/korea-stock-exchange-kospi-200-index" target="_blank" data-smartkarma-citation="entities:26021:1" rel="noopener">Korea Stock Exchange Kospi 200 Index (KOSPI2 INDEX)</a> and <a href="https://www.smartkarma.com/entities/kosdaq-150-index" target="_blank" data-smartkarma-citation="entities:31077:1" rel="noopener">KOSDAQ 150 Index (KOSDQ150 INDEX)</a> constituents from Monday, 3 May.</div><div>Stocks in Taiwan that saw the highest increase in shorts were <a href="https://www.smartkarma.com/entities/china-development-financial" target="_blank" data-smartkarma-citation="entities:13818:1" rel="noopener">China Development Financial (2883 TT)</a>, <a href="https://www.smartkarma.com/entities/yang-ming-marine-transport" target="_blank" data-smartkarma-citation="entities:8502:1" rel="noopener">Yang Ming Marine Transport (2609 TT)</a>, <a href="https://www.smartkarma.com/entities/evergreen-marine-corp-ltd" target="_blank" data-smartkarma-citation="entities:15428:1" rel="noopener">Evergreen Marine Corp (2603 TT)</a>, <a href="https://www.smartkarma.com/entities/walsin-lihwa-corp" target="_blank" data-smartkarma-citation="entities:17142:1" rel="noopener">Walsin Lihwa (1605 TT)</a> and <a href="https://www.smartkarma.com/entities/compal-electronics" target="_blank" data-smartkarma-citation="entities:4620:1" rel="noopener">Compal Electronics (2324 TT)</a> while shorts were covered on <a href="https://www.smartkarma.com/entities/au-optronics-corp" target="_blank" data-smartkarma-citation="entities:6704:1" rel="noopener">AU Optronics (2409 TT)</a>, <a href="https://www.smartkarma.com/entities/winbond-electronics-corp" target="_blank" data-smartkarma-citation="entities:9177:1" rel="noopener">Winbond Electronics (2344 TT)</a>, <a href="https://www.smartkarma.com/entities/asmedia-technology-inc" target="_blank" data-smartkarma-citation="entities:15732:1" rel="noopener">Asmedia Technology (5269 TT)</a>, <a href="https://www.smartkarma.com/entities/genius-electronic-optical-co-ltd" target="_blank" data-smartkarma-citation="entities:9632:1" rel="noopener">Genius Electronic Optical (3406 TT)</a> and <a href="https://www.smartkarma.com/entities/novatek-microelectronics-corp" target="_blank" data-smartkarma-citation="entities:10904:1" rel="noopener">Novatek Microelectronics Corp (3034 TT)</a>.</div>

The Asia Short Interest weekly looks at moves in market wide short interest and highlights movements in stock specific short interest across Hong Kong, Japan, Korea and Taiwan using the last available data published by the relevant authorities.Hong Kong saw shorts rise on Tencent Holdings (700 HK), Meituan (3690 HK), China Merchants Bank H (3968 HK), WuXi AppTec Co. Ltd. (2359 HK) and Sunny Optical (2382 HK) while there was short covering on Ping An Insurance (H) (2318 HK), Baidu (9888 HK), Haier Smart Home Co Ltd (6690 HK), Alibaba Group (9988 HK) and Citic Securities (H) (6030 HK). Shorts increased in the Communication Services, Consumer Discretionary, Health Care and Real Estate sectors, and decreased in the Financials, Industrials, and Information Technology sectors.In Japan, stocks that saw the most shorts were Lasertec Corp (6920 JP), Anritsu Corp (6754 JP), Daito Trust Construct (1878 JP), JFE Holdings (5411 JP) and Tokyu Fudosan Holdings (3289 JP) while shorts decreased on Toshiba Corp (6502 JP), Ana Holdings (9202 JP), H I S Co Ltd (9603 JP), Outsourcing Inc (2427 JP) and Euglena Co Ltd (2931 JP). Shorts increased in the Real Estate and Consumer Discretionary sectors, and decreased in the Industrials sector.In Korea, shorts increased on Celltrion Inc (068270 KS) and Hyundai Motor Co (005380 KS) during the week while decreasing on Samsung Electronics (005930 KS), Hyundai Heavy Industries (009540 KS) and Doosan Infracore (042670 KS). The short sell ban has ended today and short selling will be permitted on Korea Stock Exchange Kospi 200 Index (KOSPI2 INDEX) and KOSDAQ 150 Index (KOSDQ150 INDEX) constituents from Monday, 3 May.Stocks in Taiwan that saw the highest increase in shorts were China Development Financial (2883 TT), Yang Ming Marine Transport (2609 TT), Evergreen Marine Corp (2603 TT), Walsin Lihwa (1605 TT) and Compal Electronics (2324 TT) while shorts were covered on AU Optronics (2409 TT), Winbond Electronics (2344 TT), Asmedia Technology (5269 TT), Genius Electronic Optical (3406 TT) and Novatek Microelectronics Corp (3034 TT).

Asia Shorts: Tencent, CM Bank, Wuxi Apptec, Baidu, Anritsu, Daito, Ana, Yang Ming, Evergreen Marine

Korea/Asia, Events, IPOs, Douglas Research Advisory

Douglas Kim

Korea/Asia, Events, IPOs

<div class="content-highlight">In this insight, we highlight the closing of the pricing gaps between the major Korean holdcos and opcos, especially with the upcoming end of the ban on the short selling of shares in Korea in May. In this insight, we highlight 26 pair trades that involve Korean holdcos and opcos.</div>Just a reminder that the ban on short selling of KOSPI 200 and KOSDAQ 150 included stocks will remain in place until May 2nd and investors will be able to resume their shorting on these 350 stocks starting on May 3rd. Once this ban on short selling of stocks ends, there could be more investors that may look to add to the holdco shares and short the opco shares (especially among the pairs where the holdco shares have underperformed the opco shares in the past year). However, some of these moves have already started to take place in the past few weeks, which could reduce the overall profits on the pair trades. Traditionally, the pair trades involving Korean holdcos and opcos have been a trading strategy that many hedge funds have employed for many years. However, the ban on short selling of stocks in Korea have prevented many of these funds from employing these pair trade strategies. Once the ban ends, you will likely see these funds becoming more active in these trading methods once again. <div class="content-highlight">
In the section below, we separated the pair trades into two different sections. The first table involves major opcos outperforming holdcos (regular and quasi) in the past year. Of the 26 pair trade strategies mentioned in this insight, this section I involves 19 of them (73% of total). The section II (which involve holdcos outperforming the opcos in the past year) involves 7 pair trade strategies (27% of total).
In other words, the opcos in general have vastly outperformed the holdcos in the past year, especially due to the ban on the short selling of stocks in Korea. Because the opcos tend to be the bigger company than the holdcos in terms of market cap, many fund managers (both active and passive) have tended to just invest in the opcos and pay less attention to the holdcos.  
</div>Also, we described the holdcos as either regular or quasi. SK Telecom and Samsung C&amp;T would be examples of "quasi" holdcos whereas Orion Holdings and Hanjin Kal would be examples of regular holdcos.

In this insight, we highlight the closing of the pricing gaps between the major Korean holdcos and opcos, especially with the upcoming end of the ban on the short selling of shares in Korea in May. In this insight, we highlight 26 pair trades that involve Korean holdcos and opcos.Just a reminder that the ban on short selling of KOSPI 200 and KOSDAQ 150 included stocks will remain in place until May 2nd and investors will be able to resume their shorting on these 350 stocks starting on May 3rd. Once this ban on short selling of stocks ends, there could be more investors that may look to add to the holdco shares and short the opco shares (especially among the pairs where the holdco shares have underperformed the opco shares in the past year). However, some of these moves have already started to take place in the past few weeks, which could reduce the overall profits on the pair trades. Traditionally, the pair trades involving Korean holdcos and opcos have been a trading strategy that many hedge funds have employed for many years. However, the ban on short selling of stocks in Korea have prevented many of these funds from employing these pair trade strategies. Once the ban ends, you will likely see these funds becoming more active in these trading methods once again. 
In the section below, we separated the pair trades into two different sections. The first table involves major opcos outperforming holdcos (regular and quasi) in the past year. Of the 26 pair trade strategies mentioned in this insight, this section I involves 19 of them (73% of total). The section II (which involve holdcos outperforming the opcos in the past year) involves 7 pair trade strategies (27% of total).
In other words, the opcos in general have vastly outperformed the holdcos in the past year, especially due to the ban on the short selling of stocks in Korea. Because the opcos tend to be the bigger company than the holdcos in terms of market cap, many fund managers (both active and passive) have tended to just invest in the opcos and pay less attention to the holdcos.  
Also, we described the holdcos as either regular or quasi. SK Telecom and Samsung C&amp;T would be examples of "quasi" holdcos whereas Orion Holdings and Hanjin Kal would be examples of regular holdcos. 

Closing the Gap: Korean Holdcos Vs. Opcos

South Korea

Hyundai Motor Company manufactures, sells, and exports passenger cars, trucks, and commercial vehicles. The Company also sells various auto parts and operates auto repair service centers throughout South Korea. Hyundai Motor provides financial services through its subsidiaries.

Price Gauge
52-week Range	0.00 - 0.00
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Hyundai Motor (005387 KS)

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