Korea/Asia, Events, IPOs, Douglas Research Advisory

Douglas Kim

Korea/Asia, Events, IPOs

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'

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

Shares outstandingThe total shares of each company are fixed. There will be no change to it.








Share structure
Pre-split
LG Corp
LX Holdings


Outstanding shares
175,871,808
160,322,613
77,745,975


Common
172,557,131
157,300,993
76,280,690


- Name
LG Corp
LG Corp
LX Holdings


- Ticker
003550
003550
-


- Current price
₩126,500
₩126,500
₩25,300


Pref
3,314,677
3,021,620
1,465,285


- Name
LG Corp 1P
LG Corp 1P
LX Holdings 1P


- Ticker
003555
003555
-


- Current price
₩99,500
₩99,500
₩19,900


Treasury shares - common
0
0
0


Treasury shares - pref
0
0
0


Common excl. treasury shares
172,557,131
157,300,993
76,280,690

Source: DART &amp; KRX

Discount to NAVLG Corp's previous closing price gives a 59.08%discount to the NAV at the last close, translating into a 61.67% discount for LG Corp and a 35.40% premium for LX Holdings.I made some changes in my calculation of NAV. I estimated each holding company's operating operation based on their latest de-consolidated operating profit. It is mostly brand royalty and office rental income. I used operating profit to exclude dividend income. 








Discount to NAV
Pre-split
LG Corp
LX Holdings


Value of listed holdings
₩41,155.3B
₩39,988.2B
₩1,167.1B


- % of Holdco market cap
188.54%
200.96%
60.48%


Value of unlisted holdings
₩2,631.7B
₩2,516.3B
₩115.4B


Stub value
-₩21,958.5B
-₩22,606.0B
₩647.4B


Stub value per share
-₩127,254
-₩143,712
₩8,488


Value of operating assets
₩7,940.0B
₩7,940.0B
₩0.0B


GAV
₩51,727.0B
₩50,444.6B
₩1,282.5B


GAV per share
₩299,767
₩320,688
₩16,812


Discount to GAV
57.80%
60.55%
-50.48%


Holdco net cash/debt
₩1,941.8B
₩1,770.0B
₩172.0B


Value of pref shares
₩329.8B
₩300.7B
₩29.2B


NAV
₩53,339.0B
₩51,913.9B
₩1,425.3B


NAV per share
₩309,109
₩330,029
₩18,685


Discount to NAV
59.08%
61.67%
-35.40%

Source: DART &amp; KRX

NAV compositionLG Corp has four major listed subsidiaries, accounting for 76.89% of the NAV. LX Holdings features three major listed subsidiaries, responsible for 81.89% of the NAV at the last close.








NAV composition
Pre-split
LG Corp
LX Holdings


LG Chem Ltd
39.36%
40.44%
-


LG Household &amp; Healthcare Ltd
15.03%
15.44%
-


LG Electronics Inc.
15.86%
16.29%
-


LG Uplus Corp
4.59%
4.72%
-


LG HAUSYS, LTD.
0.54%
-
20.29%


LG International Corp
0.59%
-
21.96%


Silicon Works Co Ltd
1.06%
-
39.64%


G II R Inc
0.07%
0.07%
-


LS Electric Co Ltd
0.06%
0.06%
-


LG CNS
2.81%
2.89%
-


Other - unlisted
2.12%
1.96%
8.09%


Operation
14.89%
15.29%
0.00%


Holdco net cash/debt
3.64%
3.41%
12.07%


Value of pref shares
-0.62%
-0.58%
-2.05%

Source: DART &amp; KRX



LG Corp Post-Spinoff NAV Update & Relisting Day Trade Approach

<p>LG Corp is currently in trade suspension. It will resume trading on May 27.</p><table class="table table-striped">
<colgroup>
<col width="100">
<col width="100">
</colgroup>
<tbody>
<tr><td colspan="2" data-sheets-value='{"1":2,"2":"Corporate action schedule"}'>LG Corp (003550) spinoff schedule</td></tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Trade suspension begins"}'>Trade suspension begins</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"4/29/21"}'>4/29/21</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Trade suspensino ends"}'>Trade suspension ends</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"5/26/21"}'>5/26/21</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Re-listing"}'><strong>Re-listing</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"5/27/21"}'><strong>5/27/21</strong></td>
</tr>
<tr><td colspan="2" data-sheets-value='{"1":2,"2":"Source: KRX"}'>Source: KRX</td></tr>
</tbody>
</table><div><p>The re-listing day base price is calculated as follows:</p></div><div><div><ul>
<li>Base price: (Market cap on the last trading day X Split ratio) / total shares</li>
<li>Opening price band: 50% &lt; Base price &lt; 200%</li>
</ul></div></div><div>
<p><strong>At the current market cap, LG Corp's base price comes at ₩126,500, giving a ₩19.90T market cap. LX Holdings' base price arrives at ₩25,300 with a ₩1.93T market cap.</strong></p>
<table class="table table-striped">
<colgroup>
<col width="100">
<col width="100">
<col width="100">
</colgroup>
<tbody>
<tr>
<td style="width: 253.636px;" data-sheets-value='{"1":2,"2":"Re-listing day base price calculation"}'>Re-listing day base price calculation</td>
<td style="text-align: right; width: 214.545px;" data-sheets-value='{"1":2,"2":"LG Corp"}'>LG Corp</td>
<td style="text-align: right; width: 213.636px;" data-sheets-value='{"1":2,"2":"LX Holdings"}'>LX Holdings</td>
</tr>
<tr>
<td style="width: 253.636px;" data-sheets-value='{"1":2,"2":"Last trading day MC"}'>Combined market cap on the last trading day</td>
<td style="text-align: right; width: 214.545px;" data-sheets-value='{"1":3,"3":21828.4770715}' data-sheets-numberformat='{"1":2,"2":"₩#,##0.0B"}' data-sheets-formula='=googlefinance(Table!R3C2, "price")*googlefinance(Table!R3C2, "shares")/1000000000'>₩21,828.5B</td>
<td style="text-align: right; width: 213.636px;" data-sheets-value='{"1":3,"3":21828.4770715}' data-sheets-numberformat='{"1":2,"2":"₩#,##0.0B"}' data-sheets-formula='=googlefinance(Table!R3C2, "price")*googlefinance(Table!R3C2, "shares")/1000000000'>₩21,828.5B</td>
</tr>
<tr>
<td style="width: 253.636px;" data-sheets-value='{"1":2,"2":"LG Corp split ratio"}'><strong>Split ratio</strong></td>
<td style="text-align: right; width: 214.545px;" data-sheets-value='{"1":3,"3":0.9115879}' data-sheets-formula="=R[13]C[-4]"><strong>0.9115879</strong></td>
<td style="text-align: right; width: 213.636px;" data-sheets-value='{"1":3,"3":0.0884121}' data-sheets-formula="=R[13]C[-4]"><strong>0.0884121</strong></td>
</tr>
<tr>
<td style="width: 253.636px;" data-sheets-value='{"1":2,"2":"LG Corp SO"}'>Total shares</td>
<td style="text-align: right; width: 214.545px;" data-sheets-value='{"1":3,"3":157300992.6783149}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=NAV!R[-1]C[1]">157,300,993</td>
<td style="text-align: right; width: 213.636px;" data-sheets-value='{"1":3,"3":76280691.6084255}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=NAV!R[-1]C[6]">76,280,692</td>
</tr>
<tr>
<td style="width: 253.636px;" data-sheets-value='{"1":2,"2":"LG Corp base price"}'><strong>Base price</strong></td>
<td style="text-align: right; width: 214.545px;" data-sheets-value='{"1":3,"3":126500.00000000001}' data-sheets-numberformat='{"1":4,"2":"[$₩-412]#,##0"}' data-sheets-formula="=R[-3]C[0]*R[-2]C[0]/R[-1]C[0]*1000000000"><strong>₩126,500</strong></td>
<td style="text-align: right; width: 213.636px;" data-sheets-value='{"1":3,"3":25300}' data-sheets-numberformat='{"1":4,"2":"[$₩-412]#,##0"}' data-sheets-formula="=R[-3]C[0]*R[-2]C[0]/R[-1]C[0]*1000000000"><strong>₩25,300</strong></td>
</tr>
<tr>
<td style="width: 253.636px;" data-sheets-value='{"1":2,"2":"- Market cap"}'><strong>- Market cap</strong></td>
<td style="text-align: right; width: 214.545px;" data-sheets-value='{"1":3,"3":19898.575573806836}' data-sheets-numberformat='{"1":2,"2":"₩#,##0.0B"}' data-sheets-formula="=R[-1]C[0]*R4C[0]/1000000000"><strong>₩19,898.6B</strong></td>
<td style="text-align: right; width: 213.636px;" data-sheets-value='{"1":3,"3":1929.901497693165}' data-sheets-numberformat='{"1":2,"2":"₩#,##0.0B"}' data-sheets-formula="=R[-1]C[0]*R4C[0]/1000000000"><strong>₩1,929.9B</strong></td>
</tr>
<tr>
<td style="width: 253.636px;" data-sheets-value='{"1":2,"2":"Opening price at 50%"}'>Opening price at 50%</td>
<td style="text-align: right; width: 214.545px;" data-sheets-value='{"1":3,"3":63250.00000000001}' data-sheets-numberformat='{"1":4,"2":"[$₩-412]#,##0"}' data-sheets-formula="=R[-2]C[0]/2">₩63,250</td>
<td style="text-align: right; width: 213.636px;" data-sheets-value='{"1":3,"3":12650}' data-sheets-numberformat='{"1":4,"2":"[$₩-412]#,##0"}' data-sheets-formula="=R[-2]C[0]/2">₩12,650</td>
</tr>
<tr>
<td style="width: 253.636px;" data-sheets-value='{"1":2,"2":"- Market cap"}'>- Market cap</td>
<td style="text-align: right; width: 214.545px;" data-sheets-value='{"1":3,"3":9949.287786903418}' data-sheets-numberformat='{"1":2,"2":"₩#,##0.0B"}' data-sheets-formula="=R[-1]C[0]*R4C[0]/1000000000">₩9,949.3B</td>
<td style="text-align: right; width: 213.636px;" data-sheets-value='{"1":3,"3":964.9507488465825}' data-sheets-numberformat='{"1":2,"2":"₩#,##0.0B"}' data-sheets-formula="=R[-1]C[0]*R4C[0]/1000000000">₩965.0B</td>
</tr>
<tr>
<td style="width: 253.636px;" data-sheets-value='{"1":2,"2":"Opening price at 200%"}'>Opening price at 200%</td>
<td style="text-align: right; width: 214.545px;" data-sheets-value='{"1":3,"3":253000.00000000003}' data-sheets-numberformat='{"1":4,"2":"[$₩-412]#,##0"}' data-sheets-formula="=R[-4]C[0]*2">₩253,000</td>
<td style="text-align: right; width: 213.636px;" data-sheets-value='{"1":3,"3":50600}' data-sheets-numberformat='{"1":4,"2":"[$₩-412]#,##0"}' data-sheets-formula="=R[-4]C[0]*2">₩50,600</td>
</tr>
<tr>
<td style="width: 253.636px;" data-sheets-value='{"1":2,"2":"- Market cap"}'>- Market cap</td>
<td style="text-align: right; width: 214.545px;" data-sheets-value='{"1":3,"3":39797.15114761367}' data-sheets-numberformat='{"1":2,"2":"₩#,##0.0B"}' data-sheets-formula="=R[-1]C[0]*R4C[0]/1000000000">₩39,797.2B</td>
<td style="text-align: right; width: 213.636px;" data-sheets-value='{"1":3,"3":3859.80299538633}' data-sheets-numberformat='{"1":2,"2":"₩#,##0.0B"}' data-sheets-formula="=R[-1]C[0]*R4C[0]/1000000000">₩3,859.8B</td>
</tr>
<tr><td colspan="3" rowspan="1" style="width: 723.636px;" data-sheets-value='{"1":2,"2":"Source: KRX"}'>Source: KRX</td></tr>
</tbody>
</table>
</div><hr><h2><strong>Pre-spinoff NAV</strong></h2><p><strong>The last closing price before the suspension kicked in on April 29 gives a 52.41% discount to its NAV.</strong> It is still a harsh discount, but at the same time, it is a substantial improvement from a +60% NAV discount not that long ago.</p><table class="table table-striped">
<colgroup>
<col width="100">
<col width="100">
</colgroup>
<tbody>
<tr><td colspan="2" rowspan="1" data-sheets-value='{"1":2,"2":"NAV (₩B)"}' data-sheets-note="Sang Hyun Park: Cases when a company's net cash position and the value of its publically traded interests are worth more than its market cap create the opportunity of a stub trade, in which investors can take a view that the company's core business will rise by shorting the minority stakes whilst going long the underlying. Such an opportunity has arisen in the wake of the Alibaba listing which has seen early investing company Yahoo trade at a discount to the value of its stake in Alibaba.">Pre-spinoff NAV (₩B)</td></tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Value of listed holdings"}'>Value of listed holdings</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":41626.31228257122}' data-sheets-numberformat='[null,2,"#,##0.0"]' data-sheets-formula="=SUM(R[34]C[2]:R[42]C[2])">₩41,626.3B</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - % of Holdco market cap"}'>- % of Holdco market cap</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1.9069728110771385}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=R[-1]C[0]/((R[-12]C[0]*R[-15]C[0])/1000000000)">190.70%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Value of unlisted holdings"}'>Value of unlisted holdings</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":2631.699}' data-sheets-numberformat='[null,2,"#,##0.0"]' data-sheets-formula="=SUM(R[41]C[2]:R[42]C[2])">₩2,631.7B</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Stub value"}'>Stub value</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-22429.53421107122}' data-sheets-numberformat='[null,2,"#,##0.0"]' data-sheets-formula="=(R[-14]C[0]*R[-17]C[0]/1000000000)-R[-3]C[0]-R[-1]C[0]">-₩22,429.5₩</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Stub value per share"}'>Stub value per share</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-129983.23558747172}' data-sheets-numberformat='[null,2,"[$₩-412]#,##0",1]' data-sheets-formula="=R[-1]C[0]*1000000000/R[-18]C[0]">-₩129,983</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Value of operating assets"}'>Value of operating assets</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0}' data-sheets-numberformat='[null,2,"#,##0.0"]' data-sheets-formula="=SUM(R[60]C[2])">0.0</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"GAV"}'><strong>GAV</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":44258.01128257122}' data-sheets-numberformat='[null,2,"#,##0.0"]' data-sheets-formula="=R[-6]C[0]+R[-4]C[0]+R[-1]C[0]"><strong>₩44,258.0B</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"GAV per share"}'>GAV per share</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":256483.23558747175}' data-sheets-numberformat='[null,2,"[$₩-412]#,##0",1]' data-sheets-formula="=R[-1]C[0]/R[-11]C[0]*1000000000">₩256,483</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Discount to GAV (excl. treasury shares)"}'>Discount to GAV (excl. treasury shares)</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.5067903767267545}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=(R[-1]C[0]-R[-19]C[0])/R[-1]C[0]">50.68%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Holdco net cash/debt (de-consolidated)"}'>Holdco net cash/debt</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1941.8010390000002}' data-sheets-numberformat='[null,2,"#,##0.0"]' data-sheets-formula="=R[57]C[2]">₩1,941.8B</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Value of pref shares"}'>Value of pref shares</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":329.8103615}' data-sheets-numberformat='[null,2,"#,##0.0"]' data-sheets-formula="=(R[-20]C[0]*R[-17]C[0])/1000000000">₩329.8B</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"NAV"}'><strong>NAV</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":45870.00196007122}' data-sheets-numberformat='[null,2,"#,##0.0"]' data-sheets-formula="=R[-5]C[0]+R[-2]C[0]-R[-1]C[0]"><strong>₩45,870.0B</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"NAV per share (excl. treasury shares)"}'>NAV per share (excl. treasury shares)</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":265825.0151369938}' data-sheets-numberformat='[null,2,"[$₩-412]#,##0",1]' data-sheets-formula="=R[-1]C[0]/R[-16]C[0]*1000000000">₩265,825</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Discount to NAV"}'><strong>Discount to NAV</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.5241230403586817}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=(R[-1]C[0]-R[-24]C[0])/R[-1]C[0]"><strong>52.41%</strong></td>
</tr>
<tr><td colspan="2" rowspan="1" data-sheets-value='{"1":2,"2":"Source: KRX &amp; DART","6":1}'>Source: KRX &amp; DART</td></tr>
</tbody>
</table>

LG Corp is currently in trade suspension. It will resume trading on May 27.





LG Corp (003550) spinoff schedule

Trade suspension begins
4/29/21


Trade suspension ends
5/26/21


Re-listing
5/27/21

Source: KRX

The re-listing day base price is calculated as follows:
Base price: (Market cap on the last trading day X Split ratio) / total shares
Opening price band: 50% &lt; Base price &lt; 200%

At the current market cap, LG Corp's base price comes at ₩126,500, giving a ₩19.90T market cap. LX Holdings' base price arrives at ₩25,300 with a ₩1.93T market cap.








Re-listing day base price calculation
LG Corp
LX Holdings


Combined market cap on the last trading day
₩21,828.5B
₩21,828.5B


Split ratio
0.9115879
0.0884121


Total shares
157,300,993
76,280,692


Base price
₩126,500
₩25,300


- Market cap
₩19,898.6B
₩1,929.9B


Opening price at 50%
₩63,250
₩12,650


- Market cap
₩9,949.3B
₩965.0B


Opening price at 200%
₩253,000
₩50,600


- Market cap
₩39,797.2B
₩3,859.8B

Source: KRX


Pre-spinoff NAVThe last closing price before the suspension kicked in on April 29 gives a 52.41% discount to its NAV. It is still a harsh discount, but at the same time, it is a substantial improvement from a +60% NAV discount not that long ago.





Pre-spinoff NAV (₩B)

Value of listed holdings
₩41,626.3B


- % of Holdco market cap
190.70%


Value of unlisted holdings
₩2,631.7B


Stub value
-₩22,429.5₩


Stub value per share
-₩129,983


Value of operating assets
0.0


GAV
₩44,258.0B


GAV per share
₩256,483


Discount to GAV (excl. treasury shares)
50.68%


Holdco net cash/debt
₩1,941.8B


Value of pref shares
₩329.8B


NAV
₩45,870.0B


NAV per share (excl. treasury shares)
₩265,825


Discount to NAV
52.41%

Source: KRX &amp; DART



LG Holdings Post-Spinoff NAV Discounts & Stub Synthetic Pair Trading

<p>I grouped Korea's closely correlated sector pairs within the same GICS sub-category. I applied the additional filtering: <strong>1. a market cap of ₩1T or more and 2. stocks eligible to short-selling (KOSPI 200 and KOSDAQ 150)</strong>. This grouping returns 141 sector pairs worthy of close monitoring for a long/short trade.</p><div class="content-highlight"><p><strong>You can find all the 141 sector pairs with the 180-day correlation coefficients and the sigma on a 20-day moving average in the attached file.</strong></p></div><hr><p>Below are the top 10 most correlated sector pairs above a 180-day correlation coefficient of 0.95 or higher. <strong>They are mostly cyclical stocks</strong>, which are in line with our conventional thinking that cyclical stocks have a stronger tendency to move together than growth stocks.</p><table class="table table-striped">
<colgroup>
<col width="200">
<col width="200">
<col width="100">
<col width="100">
</colgroup>
<tbody>
<tr>
<td data-sheets-value='{"1":2,"2":"Comp 1"}'>Comp 1</td>
<td data-sheets-value='{"1":2,"2":"Comp 2"}'>Comp 2</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"180-day correlation coefficient"}'>180-day correlation coefficient</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Business type"}'>Business type</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Hyundai Mipo Dockyard Co., Ltd."}'>Hyundai Mipo Dockyard Co., Ltd.</td>
<td data-sheets-value='{"1":2,"2":"Korea Shipbuilding &amp;Offshore Engn Co Ltd"}'>Korea Shipbuilding &amp;Offshore Engn Co Ltd</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.97405}'><strong>0.97405</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Shipbuilding"}'><strong>Shipbuilding</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Hyundai Department Store Co Ltd"}'>Hyundai Department Store Co Ltd</td>
<td data-sheets-value='{"1":2,"2":"Lotte Shopping Co Ltd"}'>Lotte Shopping Co Ltd</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.97033}'><strong>0.97033</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Retail"}'><strong>Retail</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"GS Engineering &amp; Construction Corp"}'>GS Engineering &amp; Construction Corp</td>
<td data-sheets-value='{"1":2,"2":"Hyundai Engineering &amp; Construction Co."}'>Hyundai Engineering &amp; Construction Co.</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.96379}'><strong>0.96379</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Construction"}'><strong>Construction</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"HYUNDAI MOBIS CO., LTD."}'>HYUNDAI MOBIS CO., LTD.</td>
<td data-sheets-value='{"1":2,"2":"Hyundai Motor Co"}'>Hyundai Motor Co</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.96145}'><strong>0.96145</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Automotive"}'><strong>Automotive</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Shinhan Financial Group Co., Ltd."}'>Shinhan Financial Group Co., Ltd.</td>
<td data-sheets-value='{"1":2,"2":"KB Financial Group Inc"}'>KB Financial Group Inc</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.95989}'><strong>0.95989</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Commercial bank"}'><strong>Commercial bank</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"LG Innotek Co., Ltd."}'>LG Innotek Co., Ltd.</td>
<td data-sheets-value='{"1":2,"2":"LG Electronics Inc."}'>LG Electronics Inc.</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.95986}'><strong>0.95986</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"IT"}'><strong>IT</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Hansol Chemical Co Ltd"}'>Hansol Chemical Co Ltd</td>
<td data-sheets-value='{"1":2,"2":"Posco Chemical Co Ltd"}'>Posco Chemical Co Ltd</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.95374}'><strong>0.95374</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Chemical"}'><strong>Chemical</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Hanwha Aerospace Co Ltd"}'>Hanwha Aerospace Co Ltd</td>
<td data-sheets-value='{"1":2,"2":"Korea Aerospace Industries Ltd"}'>Korea Aerospace Industries Ltd</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.95243}'><strong>0.95243</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Aerospace"}'><strong>Aerospace</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"KG DongbuSteel Co Ltd"}'>KG DongbuSteel Co Ltd</td>
<td data-sheets-value='{"1":2,"2":"POSCO"}'>POSCO</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.95174}'><strong>0.95174</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Steel"}'><strong>Steel</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"KG DongbuSteel Co Ltd"}'>KG DongbuSteel Co Ltd</td>
<td data-sheets-value='{"1":2,"2":"Hyundai Steel Co"}'>Hyundai Steel Co</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.94972}'><strong>0.94972</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Steel"}'><strong>Steel</strong></td>
</tr>
<tr><td colspan="4" rowspan="1" data-sheets-value='{"1":2,"2":"Source: KRX"}'>Source: KRX</td></tr>
</tbody>
</table><p>Below are the top 10 stocks suffering the harshest diversion on a 20-day moving average among those having a 180-day correlation coefficient of 0.80 or higher. <strong>E-Mart and Lotte Shopping</strong> top the list with a -3.27σ and a correlation coefficient of 0.85. <strong>Silicon Works/LG Electronics</strong> and <strong>BGF Retail/E-Mart</strong> follow as they are also in a heavy diversion at +2.79σ and +2.58σ, respectively. <strong>Woori Financial/KB Financial</strong> and <strong>Pan Ocean/HMM</strong> aren't far away either.</p><table class="table table-striped">
<colgroup>
<col width="200">
<col width="200">
<col width="100">
<col width="100">
</colgroup>
<tbody>
<tr>
<td data-sheets-value='{"1":2,"2":"Comp 1"}'>Comp 1</td>
<td data-sheets-value='{"1":2,"2":"Comp 2"}'>Comp 2</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"180-day correlation coefficient"}'>180-day correlation coefficient</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Sigma on a 20-day moving average"}'>Sigma on a 20-day moving average</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"E-Mart Inc"}'><strong>E-Mart Inc</strong></td>
<td data-sheets-value='{"1":2,"2":"Lotte Shopping Co Ltd"}'><strong>Lotte Shopping Co Ltd</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.8512795053699035}' data-sheets-numberformat='[null,2,"#,##0.00000",1]'><strong>0.85128</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-3.2691212591928522}' data-sheets-numberformat='{"1":2,"2":"#,##0.00","3":1}'><strong>-3.27</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Silicon Works Co Ltd"}'><strong>Silicon Works Co Ltd</strong></td>
<td data-sheets-value='{"1":2,"2":"LG Electronics Inc."}'><strong>LG Electronics Inc.</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.8241051481549174}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}'><strong>0.82411</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":2.794228170493331}' data-sheets-numberformat='{"1":2,"2":"#,##0.00","3":1}'><strong>2.79</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"BGF Retail Co Ltd"}'><strong>BGF Retail Co Ltd</strong></td>
<td data-sheets-value='{"1":2,"2":"E-Mart Inc"}'><strong>E-Mart Inc</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.847331528848073}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}'><strong>0.84733</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":2.5786176868102397}' data-sheets-numberformat='{"1":2,"2":"#,##0.00","3":1}'><strong>2.58</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Woori Financial Group Inc"}'><strong>Woori Financial Group Inc</strong></td>
<td data-sheets-value='{"1":2,"2":"KB Financial Group Inc"}'><strong>KB Financial Group Inc</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.8451741524292201}' data-sheets-numberformat='[null,2,"#,##0.00000",1]'><strong>0.84517</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-2.465145723060455}' data-sheets-numberformat='{"1":2,"2":"#,##0.00","3":1}'><strong>-2.47</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Pan Ocean Co Ltd"}'><strong>Pan Ocean Co Ltd</strong></td>
<td data-sheets-value='{"1":2,"2":"HMM Co Ltd"}'><strong>HMM Co Ltd</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.935905540581882}' data-sheets-numberformat='[null,2,"#,##0.00000",1]'><strong>0.93591</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-2.33130934144712}' data-sheets-numberformat='{"1":2,"2":"#,##0.00","3":1}'><strong>-2.33</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Hyundai Mipo Dockyard Co., Ltd."}'>Hyundai Mipo Dockyard Co., Ltd.</td>
<td data-sheets-value='{"1":2,"2":"Korea Shipbuilding &amp;Offshore Engn Co Ltd"}'>Korea Shipbuilding &amp;Offshore Engn Co Ltd</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.9740462682980674}' data-sheets-numberformat='[null,2,"#,##0.00000",1]'>0.97405</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":2.2401490556241117}' data-sheets-numberformat='{"1":2,"2":"#,##0.00","3":1}'>2.24</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"SK Innovation Co Ltd"}'>SK Innovation Co Ltd</td>
<td data-sheets-value='{"1":2,"2":"Samsung SDI Co Ltd"}'>Samsung SDI Co Ltd</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.9458691690353619}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}'>0.94587</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":2.1867120471913637}' data-sheets-numberformat='{"1":2,"2":"#,##0.00","3":1}'>2.19</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Hanwha Aerospace Co Ltd"}'>Hanwha Aerospace Co Ltd</td>
<td data-sheets-value='{"1":2,"2":"Korea Aerospace Industries Ltd"}'>Korea Aerospace Industries Ltd</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.9524282780324967}' data-sheets-numberformat='[null,2,"#,##0.00000",1]'>0.95243</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":2.086128932784612}' data-sheets-numberformat='{"1":2,"2":"#,##0.00","3":1}'>2.09</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Hyundai Mipo Dockyard Co., Ltd."}'>Hyundai Mipo Dockyard Co., Ltd.</td>
<td data-sheets-value='{"1":2,"2":"Daewoo Engineering &amp; Construction Co Ltd"}'>Daewoo Engineering &amp; Construction Co Ltd</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.8206840084895756}' data-sheets-numberformat='[null,2,"#,##0.00000",1]'>0.82068</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1.9737577992711182}' data-sheets-numberformat='{"1":2,"2":"#,##0.00","3":1}'>1.97</td>
</tr>
<tr>
<td>Woori Financial Group Inc</td>
<td>Shinhan Financial Group Co., Ltd.</td>
<td style="text-align: right;"><p>0.87902</p></td>
<td style="text-align: right;">-1.93</td>
</tr>
<tr><td colspan="4" data-sheets-value='{"1":2,"2":"Source: KRX"}'>Source: KRX</td></tr>
</tbody>
</table>

I grouped Korea's closely correlated sector pairs within the same GICS sub-category. I applied the additional filtering: 1. a market cap of ₩1T or more and 2. stocks eligible to short-selling (KOSPI 200 and KOSDAQ 150). This grouping returns 141 sector pairs worthy of close monitoring for a long/short trade.You can find all the 141 sector pairs with the 180-day correlation coefficients and the sigma on a 20-day moving average in the attached file.Below are the top 10 most correlated sector pairs above a 180-day correlation coefficient of 0.95 or higher. They are mostly cyclical stocks, which are in line with our conventional thinking that cyclical stocks have a stronger tendency to move together than growth stocks.








Comp 1
Comp 2
180-day correlation coefficient
Business type


Hyundai Mipo Dockyard Co., Ltd.
Korea Shipbuilding &amp;Offshore Engn Co Ltd
0.97405
Shipbuilding


Hyundai Department Store Co Ltd
Lotte Shopping Co Ltd
0.97033
Retail


GS Engineering &amp; Construction Corp
Hyundai Engineering &amp; Construction Co.
0.96379
Construction


HYUNDAI MOBIS CO., LTD.
Hyundai Motor Co
0.96145
Automotive


Shinhan Financial Group Co., Ltd.
KB Financial Group Inc
0.95989
Commercial bank


LG Innotek Co., Ltd.
LG Electronics Inc.
0.95986
IT


Hansol Chemical Co Ltd
Posco Chemical Co Ltd
0.95374
Chemical


Hanwha Aerospace Co Ltd
Korea Aerospace Industries Ltd
0.95243
Aerospace


KG DongbuSteel Co Ltd
POSCO
0.95174
Steel


KG DongbuSteel Co Ltd
Hyundai Steel Co
0.94972
Steel

Source: KRX

Below are the top 10 stocks suffering the harshest diversion on a 20-day moving average among those having a 180-day correlation coefficient of 0.80 or higher. E-Mart and Lotte Shopping top the list with a -3.27σ and a correlation coefficient of 0.85. Silicon Works/LG Electronics and BGF Retail/E-Mart follow as they are also in a heavy diversion at +2.79σ and +2.58σ, respectively. Woori Financial/KB Financial and Pan Ocean/HMM aren't far away either.








Comp 1
Comp 2
180-day correlation coefficient
Sigma on a 20-day moving average


E-Mart Inc
Lotte Shopping Co Ltd
0.85128
-3.27


Silicon Works Co Ltd
LG Electronics Inc.
0.82411
2.79


BGF Retail Co Ltd
E-Mart Inc
0.84733
2.58


Woori Financial Group Inc
KB Financial Group Inc
0.84517
-2.47


Pan Ocean Co Ltd
HMM Co Ltd
0.93591
-2.33


Hyundai Mipo Dockyard Co., Ltd.
Korea Shipbuilding &amp;Offshore Engn Co Ltd
0.97405
2.24


SK Innovation Co Ltd
Samsung SDI Co Ltd
0.94587
2.19


Hanwha Aerospace Co Ltd
Korea Aerospace Industries Ltd
0.95243
2.09


Hyundai Mipo Dockyard Co., Ltd.
Daewoo Engineering &amp; Construction Co Ltd
0.82068
1.97


Woori Financial Group Inc
Shinhan Financial Group Co., Ltd.
0.87902
-1.93

Source: KRX



Korea Sector Long/Short Pairs Trade Ideas

<div class="content-highlight"><p>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.</p></div><p>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. </p><p>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. </p><div class="content-highlight">
<p>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).</p>
<p>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.  </p>
</div><p>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. </p>

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

LG Electronics Inc. manufactures and markets digital display equipment and home appliances. The Company produces and markets flat panel televisions, A/V products, washing machines, air conditioners and refrigerators as well as telecommunications equipment such as smart phones and tablets.

Price Gauge
52-week Range	0.00 - 0.00
Market Cap (USDm)	0.00
P/E	0.00
Dividend (Yield)	0.00

LG Electronics (066570 KS)

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

According to the KRX, it plans to launch new indices which would include the top 10 stocks in KOSPI. The name of this index is expected to be...

Douglas Kim

LG Corp Post-Spinoff NAV Update & Relisting Day Trade Approach

This post updates each company's discount to the NAV at the last closing prices and discusses the trade approach on the relating day and in the...

Sanghyun Park

LG Holdings Post-Spinoff NAV Discounts & Stub Synthetic Pair Trading

This post investigates the discounts to the NAV for pre and post-spinoff LG Holdings entities and discusses stub synthetic pair trades.

Sanghyun Park

Korea Sector Long/Short Pairs Trade Ideas

This post investigates the 141 sector pairs worthy of close monitoring for a long/short trade. They are selected based on the GICS sub-categories,...

Sanghyun Park

Closing the Gap: Korean Holdcos Vs. Opcos

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...

Douglas Kim

Price Gauge

52-week Range

Market Cap (USDm)

P/E

Dividend (Yield)