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>SK Innovation announced at today's IR presentation that it is considering spinning off the rechargeable battery business. <span>At the same time, SK Innovation said that it would achieve an EBITDA of ₩2.5T in the battery business by 2025.</span></p><p>The specific performance targets for each year of the battery business are as follows.</p><ul>
<li><strong>First, they said that the battery business would turn to the black next year. After that, the company plans to achieve an EBITDA of ₩1T in 2023 and an EBITDA of ₩2.5T in 2025.</strong></li>
<li><strong>For SK IE Technology, they set EBITDA targets of ₩300B next year, ₩700B in 2023, and ₩1.4T in 2025.</strong></li>
</ul>

SK Innovation announced at today's IR presentation that it is considering spinning off the rechargeable battery business. At the same time, SK Innovation said that it would achieve an EBITDA of ₩2.5T in the battery business by 2025.The specific performance targets for each year of the battery business are as follows.
First, they said that the battery business would turn to the black next year. After that, the company plans to achieve an EBITDA of ₩1T in 2023 and an EBITDA of ₩2.5T in 2025.
For SK IE Technology, they set EBITDA targets of ₩300B next year, ₩700B in 2023, and ₩1.4T in 2025.


SK Innovation Battery Spinoff: What's Known at This Point

<p>There seems to be confusion about the financial statements disclosed by SK Telecom through public disclosure.</p><hr><h2>Spinoff ratio</h2><p>First, the spinoff ratio is calculated as the equity ratio of the split-based financial statements.</p><ul>
<li>Post-spinoff SKT (the surviving company)'s spinoff ratio comes at <strong>₩10,441.3B / (₩10,441.3B + ₩6,829.9B)</strong>.</li>
<li>Similarly, SKT Investment (the new company)'s spinoff ratio is obtained by dividing <strong>₩6,829.9B by (₩10,441.3B + ₩6,829.9B)</strong>.</li>
</ul><table class="table table-striped">
<colgroup>
<col width="100">
<col width="100">
<col width="100">
</colgroup>
<tbody>
<tr>
<td data-sheets-value='{"1":2,"2":"Financials"}'>Financials</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Surviving"}'>Surviving</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"New"}'>New</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Name"}'>Name</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"SK Telecom"}'>Post-spinoff SKT</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"SKT Investment"}'>SKT Investment</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Total equity"}'><strong>Total equity</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":10441.3}' data-sheets-numberformat='{"1":2,"2":"₩#,##0.0B","3":1}'><strong>₩10,441.3B</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":6829.9}' data-sheets-numberformat='{"1":2,"2":"₩#,##0.0B","3":1}'><strong>₩6,829.9B</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Spinoff ratio"}'><strong>Spinoff ratio</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.6073625}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}'><strong>60.74%</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.3926375}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}'><strong>39.26%</strong></td>
</tr>
<tr><td colspan="3" rowspan="1" data-sheets-value='{"1":2,"2":"Source: DART"}'>Source: DART</td></tr>
</tbody>
</table><h2>De-consolidated sales of each spinoff company</h2><p>Now, what's confusing many investors is the FY2020 de-consolidated sales.</p><p>The company specified <strong>₩11.75T for post-spinoff SKT's FY2020 de-consolidated sales and ₩0.17T for SKT Investment in the regulatory filing</strong>.</p><table class="table table-striped">
<colgroup>
<col width="100">
<col width="100">
<col width="100">
</colgroup>
<tbody>
<tr>
<td data-sheets-value='{"1":2,"2":"Financials"}'>Financials</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Surviving"}'>Surviving</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"New"}'>New</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Name"}'>Name</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"SK Telecom"}'>Post-spinoff SKT</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"SKT Investment"}'>SKT Investment</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"FY2020 de-consolidated sales"}'><strong>FY2020 de-consolidated sales</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"₩11,746.6B"}'><strong>₩11,746.6B</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"₩173.2B"}'><strong>₩173.2B</strong></td>
</tr>
<tr><td colspan="3" data-sheets-value='{"1":2,"2":"Source: DART"}'>Source: DART</td></tr>
</tbody>
</table><p>Consolidated sales for the fiscal year 2020 were ₩18.62T. If the de-consolidated sales of the spin-off companies are simply added up, we will see a difference of ₩6.7T.</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":"Consolidated financials"}'>Consolidated financials for FY2020</td></tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Sales"}'><strong>Sales</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"₩18,624.7B"}' data-sheets-numberformat='{"1":2,"2":"₩#,##0.0B"}'><strong>₩18,624.7B</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Operating profit"}'> - Operating profit</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"₩1,349.3B"}' data-sheets-numberformat='{"1":2,"2":"₩#,##0.0B"}'>₩1,349.3B</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"NP to controlling stake"}'> - NP to the controlling stake</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1504.4}' data-sheets-numberformat='{"1":2,"2":"₩#,##0.0B"}'>₩1,504.4B</td>
</tr>
<tr><td colspan="2" data-sheets-value='{"1":2,"2":"Source: SK Telecom"}'>Source: SK Telecom</td></tr>
</tbody>
</table><h2>IFRS treatment &amp; consolidated sales breakdown</h2><p>I guess this is where the confusion comes from. For this, we need to know how the IFRS treats consolidated and de-consolidated sales.</p><p>In IFRS accounting standards, consolidated sales include sales of subsidiaries. In the case of affiliated companies, only gains and losses are accounted for as equity method gains and losses. Here are the general rules of determining whether a subsidiary or an affiliate.</p><ul>
<li>+50% stake: subsidiary</li>
<li>+30% stake AND the largest shareholder: subsidiary</li>
<li>20~50% stake: affiliate</li>
</ul><p><strong>Here is the FY2020 consolidated sales breakdown of pre-spinoff SKT. We have a de-consolidated sales of ₩11.75T, supposedly from SKT's MNO business. We then have an additional ₩6.88T sales from the subsidiaries. The affiliates, including SK Hynix, are reflected in the equity method income.</strong></p><table class="table table-striped">
<colgroup>
<col width="100">
<col width="100">
<col width="100">
</colgroup>
<tbody>
<tr><td colspan="3" data-sheets-value='{"1":2,"2":"Pre-spinoff SKT consolidated sales breakdown for FY2020"}'>Pre-spinoff SKT consolidated sales breakdown for FY2020</td></tr>
<tr>
<td data-sheets-value='{"1":2,"2":"SK Telecom"}'>SK Telecom</td>
<td data-sheets-value='{"1":2,"2":"De-consolidated sales"}'>De-consolidated sales</td>
<td data-sheets-value='{"1":3,"3":11746.6}' data-sheets-numberformat='{"1":2,"2":"₩#,##0.0B","3":1}' data-sheets-formula="=R[-24]C[-4]"><strong>₩11,746.6B</strong></td>
</tr>
<tr><td colspan="3"></td></tr>
<tr>
<td data-sheets-value='{"1":2,"2":"SK Broadband"}'>SK Broadband</td>
<td data-sheets-value='{"1":2,"2":"Subsidiary"}'>Subsidiary</td>
<td rowspan="15" data-sheets-value='{"1":3,"3":6878.1}' data-sheets-numberformat='{"1":2,"2":"₩#,##0.0B"}' data-sheets-formula="=R[-13]C[-4]-R[-1]C[0]"><div><strong>₩6,878.1B</strong></div></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"SK Telink"}'>SK Telink</td>
<td data-sheets-value='{"1":2,"2":"Subsidiary"}'>Subsidiary</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"PS&amp;Marketing"}'>PS&amp;Marketing</td>
<td data-sheets-value='{"1":2,"2":"Subsidiary"}'>Subsidiary</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Service Top"}'>Service Top</td>
<td data-sheets-value='{"1":2,"2":"Subsidiary"}'>Subsidiary</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Service Ace"}'>Service Ace</td>
<td data-sheets-value='{"1":2,"2":"Subsidiary"}'>Subsidiary</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"SK O&amp;S"}'>SK O&amp;S</td>
<td data-sheets-value='{"1":2,"2":"Subsidiary"}'>Subsidiary</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"ADT Caps"}'>ADT Caps</td>
<td data-sheets-value='{"1":2,"2":"Subsidiary"}'>Subsidiary</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"11st Street"}'>11st Street</td>
<td data-sheets-value='{"1":2,"2":"Subsidiary"}'>Subsidiary</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"T Map Mobility"}'>T Map Mobility</td>
<td data-sheets-value='{"1":2,"2":"Subsidiary"}'>Subsidiary</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"One Store"}'>One Store</td>
<td data-sheets-value='{"1":2,"2":"Subsidiary"}'>Subsidiary</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Dream Us Company"}'>Dream Us Company</td>
<td data-sheets-value='{"1":2,"2":"Subsidiary"}'>Subsidiary</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"SK Planet"}'>SK Planet</td>
<td data-sheets-value='{"1":2,"2":"Subsidiary"}'>Subsidiary</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Incross"}'>Incross</td>
<td data-sheets-value='{"1":2,"2":"Subsidiary"}'>Subsidiary</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"SK Telecom TMT Investment"}'>SK Telecom TMT Investment</td>
<td data-sheets-value='{"1":2,"2":"Subsidiary"}'>Subsidiary</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"ID Quantique"}'>ID Quantique</td>
<td data-sheets-value='{"1":2,"2":"Subsidiary"}'>Subsidiary</td>
</tr>
<tr><td colspan="3"><div></div></td></tr>
<tr>
<td data-sheets-value='{"1":2,"2":"SK Hynix"}'>SK Hynix</td>
<td data-sheets-value='{"1":2,"2":"Affiliate"}'>Affiliate</td>
<td rowspan="6" data-sheets-value='{"1":2,"2":"Equity method income"}'><div><strong>Equity method income</strong></div></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Contents Wavve"}'>Contents Wavve</td>
<td data-sheets-value='{"1":2,"2":"Affiliate"}'>Affiliate</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"F&amp;U Credit Info"}'>F&amp;U Credit Info</td>
<td data-sheets-value='{"1":2,"2":"Affiliate"}'>Affiliate</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"FSK L&amp;S"}'>FSK L&amp;S</td>
<td data-sheets-value='{"1":2,"2":"Affiliate"}'>Affiliate</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Nano N Tech"}'>Nano N Tech</td>
<td data-sheets-value='{"1":2,"2":"Affiliate"}'>Affiliate</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"SK Telecom CST1"}'>SK Telecom CST1</td>
<td data-sheets-value='{"1":2,"2":"Affiliate"}'>Affiliate</td>
</tr>
<tr><td colspan="3" data-sheets-value='{"1":2,"2":"Source: SK Telecom &amp; FnGuide"}'>Source: SK Telecom &amp; FnGuide</td></tr>
</tbody>
</table><h2>Post-spinoff consolidated sales</h2><p>Now, below are the post-spinoff consolidated sales of each spinoff company.</p><ul>
<li>Post-spinoff SKT: <strong>₩11.75T + the sum of its post-spinoff subsidiaries</strong>
</li>
<li>SKT Investment: <strong>₩0.17T + the sum of its post-spinoff subsidiaries</strong>
</li>
</ul><p>The sum of both companies' consolidated sales (not de-consolidated sales) should be equal to <strong>₩18.62T</strong>, the consolidated sales of pre-spinoff SKT.</p><table class="table table-striped">
<colgroup>
<col width="100">
<col width="100">
<col width="100">
<col width="100">
</colgroup>
<tbody>
<tr>
<td colspan="2" style="width: 352.94px;" data-sheets-value='{"1":2,"2":"SK Telecom"}'>Post-spinoff SKT</td>
<td colspan="2" style="width: 352.074px;" data-sheets-value='{"1":2,"2":"SK Investment"}'>SKT Investment</td>
</tr>
<tr>
<td style="width: 170px;"><strong> - Deconsolidated</strong></td>
<td style="width: 161.946px;"><strong>₩11,746.6B</strong></td>
<td style="width: 169.588px;"><strong> - Deconsolidated</strong></td>
<td style="width: 161.491px;"><strong>₩173.2B</strong></td>
</tr>
<tr>
<td style="width: 170px;" data-sheets-value='{"1":2,"2":"SK Broadband"}'>SK Broadband</td>
<td style="width: 161.946px;" data-sheets-value='{"1":2,"2":"Subsidiary"}'>Subsidiary</td>
<td style="width: 169.588px;" data-sheets-value='{"1":2,"2":"ADT Caps"}'>ADT Caps</td>
<td style="width: 161.491px;" data-sheets-value='{"1":2,"2":"Subsidiary"}'>Subsidiary</td>
</tr>
<tr>
<td style="width: 170px;" data-sheets-value='{"1":2,"2":"SK Telink"}'>SK Telink</td>
<td style="width: 161.946px;" data-sheets-value='{"1":2,"2":"Subsidiary"}'>Subsidiary</td>
<td style="width: 169.588px;" data-sheets-value='{"1":2,"2":"11st Street"}'>11st Street</td>
<td style="width: 161.491px;" data-sheets-value='{"1":2,"2":"Subsidiary"}'>Subsidiary</td>
</tr>
<tr>
<td style="width: 170px;" data-sheets-value='{"1":2,"2":"PS&amp;Marketing"}'>PS&amp;Marketing</td>
<td style="width: 161.946px;" data-sheets-value='{"1":2,"2":"Subsidiary"}'>Subsidiary</td>
<td style="width: 169.588px;" data-sheets-value='{"1":2,"2":"T Map Mobility"}'>T Map Mobility</td>
<td style="width: 161.491px;" data-sheets-value='{"1":2,"2":"Subsidiary"}'>Subsidiary</td>
</tr>
<tr>
<td style="width: 170px;" data-sheets-value='{"1":2,"2":"Service Top"}'>Service Top</td>
<td style="width: 161.946px;" data-sheets-value='{"1":2,"2":"Subsidiary"}'>Subsidiary</td>
<td style="width: 169.588px;" data-sheets-value='{"1":2,"2":"One Store"}'>One Store</td>
<td style="width: 161.491px;" data-sheets-value='{"1":2,"2":"Subsidiary"}'>Subsidiary</td>
</tr>
<tr>
<td style="width: 170px;" data-sheets-value='{"1":2,"2":"Service Ace"}'>Service Ace</td>
<td style="width: 161.946px;" data-sheets-value='{"1":2,"2":"Subsidiary"}'>Subsidiary</td>
<td style="width: 169.588px;" data-sheets-value='{"1":2,"2":"Dream Us Company"}'>Dream Us Company</td>
<td style="width: 161.491px;" data-sheets-value='{"1":2,"2":"Subsidiary"}'>Subsidiary</td>
</tr>
<tr>
<td style="width: 170px;" data-sheets-value='{"1":2,"2":"SK O&amp;S"}'>SK O&amp;S</td>
<td style="width: 161.946px;" data-sheets-value='{"1":2,"2":"Subsidiary"}'>Subsidiary</td>
<td style="width: 169.588px;" data-sheets-value='{"1":2,"2":"SK Planet"}'>SK Planet</td>
<td style="width: 161.491px;" data-sheets-value='{"1":2,"2":"Subsidiary"}'>Subsidiary</td>
</tr>
<tr>
<td style="width: 170px;" data-sheets-value='{"1":2,"2":"F&amp;U Credit Info"}'><strong> - Consolidated</strong></td>
<td style="width: 161.946px;" data-sheets-value='{"1":2,"2":"Affiliate"}'><strong>Sum of subsidiaries</strong></td>
<td style="width: 169.588px;" data-sheets-value='{"1":2,"2":"Incross"}'>Incross</td>
<td style="width: 161.491px;" data-sheets-value='{"1":2,"2":"Subsidiary"}'>Subsidiary</td>
</tr>
<tr>
<td style="width: 170px;">F&amp;U Credit Info</td>
<td style="width: 161.946px;">Affiliate</td>
<td style="width: 169.588px;" data-sheets-value='{"1":2,"2":"ID Quantique"}'>ID Quantique</td>
<td style="width: 161.491px;" data-sheets-value='{"1":2,"2":"Subsidiary"}'>Subsidiary</td>
</tr>
<tr>
<td style="width: 170px;"></td>
<td style="width: 161.946px;"></td>
<td style="width: 169.588px;"><strong> - Consolidated</strong></td>
<td style="width: 161.491px;"><strong>Sum of subsidiaries</strong></td>
</tr>
<tr>
<td style="width: 170px;"></td>
<td style="width: 161.946px;"></td>
<td style="width: 169.588px;" data-sheets-value='{"1":2,"2":"SK Hynix"}'>SK Hynix</td>
<td style="width: 161.491px;" data-sheets-value='{"1":2,"2":"Affiliate"}'>Affiliate</td>
</tr>
<tr>
<td style="width: 170px;"></td>
<td style="width: 161.946px;"></td>
<td style="width: 169.588px;" data-sheets-value='{"1":2,"2":"Contents Wavve"}'>Contents Wavve</td>
<td style="width: 161.491px;" data-sheets-value='{"1":2,"2":"Affiliate"}'>Affiliate</td>
</tr>
<tr>
<td style="width: 170px;"></td>
<td style="width: 161.946px;"></td>
<td style="width: 169.588px;" data-sheets-value='{"1":2,"2":"FSK L&amp;S"}'>FSK L&amp;S</td>
<td style="width: 161.491px;" data-sheets-value='{"1":2,"2":"Affiliate"}'>Affiliate</td>
</tr>
<tr>
<td style="width: 170px;"></td>
<td style="width: 161.946px;"></td>
<td style="width: 169.588px;" data-sheets-value='{"1":2,"2":"Nano N Tech"}'>Nano N Tech</td>
<td style="width: 161.491px;" data-sheets-value='{"1":2,"2":"Affiliate"}'>Affiliate</td>
</tr>
<tr>
<td style="width: 170px;"></td>
<td style="width: 161.946px;"></td>
<td style="width: 169.588px;" data-sheets-value='{"1":2,"2":"SK Telecom CST1"}'>SK Telecom CST1</td>
<td style="width: 161.491px;" data-sheets-value='{"1":2,"2":"Affiliate"}'>Affiliate</td>
</tr>
<tr><td colspan="4" style="width: 726.008px;" data-sheets-value='{"1":2,"2":"Source: SK Telecom &amp; FnGuide"}'>Source: SK Telecom &amp; FnGuide</td></tr>
</tbody>
</table><p>SKT Investment is a pure holding company having zero operating operation. How come does it have ₩0.17T worth of de-consolidated sales?</p><p>SKT explains this in the filing. As stated below, SKT Investment now recognizes dividend income, which was previously recognized as non-operating income before the spinoff, as sales in its de-consolidated (separate) financial statements.</p><section class="figure"><figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/213/260/original/Screen+Shot+2021-06-15+at+5.24.49+PM.png?1623793227" class="editor-image img-responsive" data-smartkarma-image-id="213260"></figure></section><p>So, the sum of both companies' consolidated sales would be a little more than <strong>₩18.62T</strong>, by a difference of ₩0.17T.</p><div class="content-highlight"><p><strong>My estimation is post-spinoff SKT will be around ₩16T (mainly due to the presence of SK Broadband), and SKT Investment's consolidated sales for FY2020 should be slightly less than ₩3T.</strong></p></div>

There seems to be confusion about the financial statements disclosed by SK Telecom through public disclosure.Spinoff ratioFirst, the spinoff ratio is calculated as the equity ratio of the split-based financial statements.
Post-spinoff SKT (the surviving company)'s spinoff ratio comes at ₩10,441.3B / (₩10,441.3B + ₩6,829.9B).
Similarly, SKT Investment (the new company)'s spinoff ratio is obtained by dividing ₩6,829.9B by (₩10,441.3B + ₩6,829.9B).








Financials
Surviving
New


Name
Post-spinoff SKT
SKT Investment


Total equity
₩10,441.3B
₩6,829.9B


Spinoff ratio
60.74%
39.26%

Source: DART

De-consolidated sales of each spinoff companyNow, what's confusing many investors is the FY2020 de-consolidated sales.The company specified ₩11.75T for post-spinoff SKT's FY2020 de-consolidated sales and ₩0.17T for SKT Investment in the regulatory filing.







Financials
Surviving
New


Name
Post-spinoff SKT
SKT Investment


FY2020 de-consolidated sales
₩11,746.6B
₩173.2B

Source: DART

Consolidated sales for the fiscal year 2020 were ₩18.62T. If the de-consolidated sales of the spin-off companies are simply added up, we will see a difference of ₩6.7T.





Consolidated financials for FY2020

Sales
₩18,624.7B


 - Operating profit
₩1,349.3B


 - NP to the controlling stake
₩1,504.4B

Source: SK Telecom

IFRS treatment &amp; consolidated sales breakdownI guess this is where the confusion comes from. For this, we need to know how the IFRS treats consolidated and de-consolidated sales.In IFRS accounting standards, consolidated sales include sales of subsidiaries. In the case of affiliated companies, only gains and losses are accounted for as equity method gains and losses. Here are the general rules of determining whether a subsidiary or an affiliate.
+50% stake: subsidiary
+30% stake AND the largest shareholder: subsidiary
20~50% stake: affiliate
Here is the FY2020 consolidated sales breakdown of pre-spinoff SKT. We have a de-consolidated sales of ₩11.75T, supposedly from SKT's MNO business. We then have an additional ₩6.88T sales from the subsidiaries. The affiliates, including SK Hynix, are reflected in the equity method income.






Pre-spinoff SKT consolidated sales breakdown for FY2020

SK Telecom
De-consolidated sales
₩11,746.6B



SK Broadband
Subsidiary
₩6,878.1B


SK Telink
Subsidiary


PS&amp;Marketing
Subsidiary


Service Top
Subsidiary


Service Ace
Subsidiary


SK O&amp;S
Subsidiary


ADT Caps
Subsidiary


11st Street
Subsidiary


T Map Mobility
Subsidiary


One Store
Subsidiary


Dream Us Company
Subsidiary


SK Planet
Subsidiary


Incross
Subsidiary


SK Telecom TMT Investment
Subsidiary


ID Quantique
Subsidiary



SK Hynix
Affiliate
Equity method income


Contents Wavve
Affiliate


F&amp;U Credit Info
Affiliate


FSK L&amp;S
Affiliate


Nano N Tech
Affiliate


SK Telecom CST1
Affiliate

Source: SK Telecom &amp; FnGuide

Post-spinoff consolidated salesNow, below are the post-spinoff consolidated sales of each spinoff company.
Post-spinoff SKT: ₩11.75T + the sum of its post-spinoff subsidiaries

SKT Investment: ₩0.17T + the sum of its post-spinoff subsidiaries

The sum of both companies' consolidated sales (not de-consolidated sales) should be equal to ₩18.62T, the consolidated sales of pre-spinoff SKT.








Post-spinoff SKT
SKT Investment


 - Deconsolidated
₩11,746.6B
 - Deconsolidated
₩173.2B


SK Broadband
Subsidiary
ADT Caps
Subsidiary


SK Telink
Subsidiary
11st Street
Subsidiary


PS&amp;Marketing
Subsidiary
T Map Mobility
Subsidiary


Service Top
Subsidiary
One Store
Subsidiary


Service Ace
Subsidiary
Dream Us Company
Subsidiary


SK O&amp;S
Subsidiary
SK Planet
Subsidiary


 - Consolidated
Sum of subsidiaries
Incross
Subsidiary


F&amp;U Credit Info
Affiliate
ID Quantique
Subsidiary




 - Consolidated
Sum of subsidiaries




SK Hynix
Affiliate




Contents Wavve
Affiliate




FSK L&amp;S
Affiliate




Nano N Tech
Affiliate




SK Telecom CST1
Affiliate

Source: SK Telecom &amp; FnGuide

SKT Investment is a pure holding company having zero operating operation. How come does it have ₩0.17T worth of de-consolidated sales?SKT explains this in the filing. As stated below, SKT Investment now recognizes dividend income, which was previously recognized as non-operating income before the spinoff, as sales in its de-consolidated (separate) financial statements.So, the sum of both companies' consolidated sales would be a little more than ₩18.62T, by a difference of ₩0.17T.My estimation is post-spinoff SKT will be around ₩16T (mainly due to the presence of SK Broadband), and SKT Investment's consolidated sales for FY2020 should be slightly less than ₩3T.

SK Telecom Spinoff Financials Confusions & Explanations

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

Thematic (Sector/Industry)

<p>Does holding company ("holdco") discount in Korea apply to the likes of <a href="https://www.smartkarma.com/entities/sk-telecom-co-ltd-bbccd86c-474d-4a4d-946d-10e911a225a2" target="_blank" data-smartkarma-citation="entities:395:1" rel="noopener">SK Telecom (017670 KS)</a> , <a href="https://www.smartkarma.com/entities/sk-holdings-co-ltd" target="_blank" data-smartkarma-citation="entities:393:1" rel="noopener">SK Holdings (034730 KS)</a> (now Inc), <a href="https://www.smartkarma.com/entities/osstem-implant-co-ltd" target="_blank" data-smartkarma-citation="entities:1450:1" rel="noopener">Osstem Implant (048260 KS)</a> , <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> , <a href="https://www.smartkarma.com/entities/kakao-corp" target="_blank" data-smartkarma-citation="entities:15002:1" rel="noopener">Kakao Corp (035720 KS)</a> , <a href="https://www.smartkarma.com/entities/fila-holdings-corp" target="_blank" data-smartkarma-citation="entities:10699:1" rel="noopener">Fila Holdings (081660 KS)</a> and others? To answer that question I think we need to know the history of the holdco in Korea.</p>

Does holding company ("holdco") discount in Korea apply to the likes of SK Telecom (017670 KS) , SK Holdings (034730 KS) (now Inc), Osstem Implant (048260 KS) , LG Chem Ltd (051910 KS) , Kakao Corp (035720 KS) , Fila Holdings (081660 KS) and others? To answer that question I think we need to know the history of the holdco in Korea.

The Holding Company Dilemma in Korea -  What's the Right Discount?

<p>I added Kolmar Korea Holdings to my synthetic subsidiary holding company list. As a result, I now track a total of 7 synthetic subsidiary holding companies, of which 3 names are currently at -1.0σ (or close) on a 20-day moving average.  </p><table class="table table-striped">
<colgroup>
<col width="70">
<col width="70">
<col width="70">
</colgroup>
<tbody>
<tr>
<td data-sheets-value='{"1":2,"2":"Holdco"}'>Holdco</td>
<td style="text-align: left;" data-sheets-value='{"1":2,"2":"Subsidiaries in a synthetic"}'>Subsidiaries in a synthetic</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Sigma (σ) on a 20-day moving average"}'>Sigma (σ) on a 20-day moving average</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"LG Corp"}' data-sheets-formula="=Data!R[-1]C[1]">LG Corp</td>
<td style="text-align: left;" data-sheets-value='{"1":2,"2":"LG Chem Ltd &amp; 3 others"}' data-sheets-formula='=googlefinance(R[0]C[3], "name")&amp;" &amp; "&amp;R[0]C[4]-1&amp;" others" '>LG Chem Ltd &amp; 3 others</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.9455012913617945}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=R[10]C[-1]">0.95</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Samsung C&amp;T Corp"}' data-sheets-numberformat='{"1":4,"2":"[$₩]#,##0"}' data-sheets-formula="=Data!R[-2]C[6]">Samsung C&amp;T Corp</td>
<td style="text-align: left;" data-sheets-value='{"1":2,"2":"Samsung Electronics Co Ltd &amp; 1 other"}' data-sheets-formula='=googlefinance(R[0]C[3], "name")&amp;" &amp; "&amp;R[0]C[4]-1&amp;" other" '>Samsung Electronics Co Ltd &amp; 1 other</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-0.34377918950498587}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=R[10]C[-1]">-0.34</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"SK Inc"}' data-sheets-numberformat='{"1":4,"2":"[$₩]#,##0"}' data-sheets-formula="=Data!R[-3]C[9]"><strong>SK Inc</strong></td>
<td style="text-align: left;" data-sheets-value='{"1":2,"2":"SK Innovation Co Ltd &amp; 2 others"}' data-sheets-formula='=googlefinance(R[0]C[3], "name")&amp;" &amp; "&amp;R[0]C[4]-1&amp;" others" '><strong>SK Innovation Co Ltd &amp; 2 others</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-1.5358952902702356}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=R[10]C[-1]"><strong>-1.54</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Lotte Corp"}' data-sheets-numberformat='{"1":4,"2":"[$₩]#,##0"}' data-sheets-formula="=Data!R[-4]C[13]">Lotte Corp</td>
<td style="text-align: left;" data-sheets-value='{"1":2,"2":"Lotte Chemical Corp &amp; 1 other"}' data-sheets-formula='=googlefinance(R[0]C[3], "name")&amp;" &amp; "&amp;R[0]C[4]-1&amp;" other" '>Lotte Chemical Corp &amp; 1 other</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.48761167037793357}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=R[10]C[-1]">0.49</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Hanwha Corp"}' data-sheets-numberformat='{"1":4,"2":"[$₩]#,##0"}' data-sheets-formula="=Data!R[-5]C[16]"><strong>Hanwha Corp</strong></td>
<td style="text-align: left;" data-sheets-value='{"1":2,"2":"Hanwha Solutions Corp &amp; 2 others"}' data-sheets-formula='=googlefinance(R[0]C[3], "name")&amp;" &amp; "&amp;R[0]C[4]-1&amp;" others" '><strong>Hanwha Solutions Corp &amp; 2 others</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-0.9140754552511184}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=R[10]C[-1]"><strong>-0.91</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"CJ Corp"}' data-sheets-numberformat='{"1":4,"2":"[$₩]#,##0"}' data-sheets-formula="=Data!R[-6]C[20]">CJ Corp</td>
<td style="text-align: left;" data-sheets-value='{"1":2,"2":"CJ Cheiljedang Corp &amp; 1 other"}' data-sheets-formula='=googlefinance(R[0]C[3], "name")&amp;" &amp; "&amp;R[0]C[4]-1&amp;" other" '>CJ Cheiljedang Corp &amp; 1 other</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-0.29546809089979403}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=R[10]C[-1]">-0.30</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Kolmar Korea Holdings Co Ltd"}' data-sheets-numberformat='{"1":4,"2":"[$₩]#,##0"}' data-sheets-formula="=Data!R[-7]C[23]"><strong>* Kolmar Korea Holdings Co Ltd</strong></td>
<td style="text-align: left;" data-sheets-value='{"1":2,"2":"KolmarBNH Co Ltd &amp; 1 other"}' data-sheets-formula='=googlefinance(R[0]C[3], "name")&amp;" &amp; "&amp;R[0]C[4]-1&amp;" other" '><strong>KolmarBNH Co Ltd &amp; 1 other</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-1.2339571192225773}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=R[10]C[-1]"><strong>-1.23</strong></td>
</tr>
<tr><td colspan="3" rowspan="1" data-sheets-value='{"1":2,"2":"Source: KRX"}'>Source: KRX</td></tr>
</tbody>
</table><div class="content-highlight"><p>Starting with this insight, 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.</p></div><p>The revised NAV discount calculations show that they are trading mostly within a <strong>50~60%</strong> discount to the NAV. The largest discount goes to Samsung C&amp;T, while CJ Corp enjoys the lowest discount to its NAV. <strong>Kolmar Korea Holdings features a 53.41% discount to the NAV. It is a two-subsidiary holding company as they account for 89.85% of the NAV</strong>.</p><table class="table table-striped">
<colgroup>
<col width="70">
<col width="70">
<col width="70">
<col width="70">
</colgroup>
<tbody>
<tr>
<td style="width: 170.909px;" data-sheets-value='{"1":2,"2":"Discount &amp; weight"}'>Discount &amp; weight</td>
<td style="text-align: right; width: 144.545px;" data-sheets-value='{"1":2,"2":"NAV discount"}'>NAV discount</td>
<td style="text-align: right; width: 171.818px;" data-sheets-value='{"1":2,"2":"Synthetic subsidiary weight in NAV"}'>Synthetic subsidiary weight in NAV</td>
<td style="text-align: right; width: 173.636px;" data-sheets-value='{"1":2,"2":"Synthetic subsidiary weight in GAV"}'>Synthetic subsidiary weight in GAV</td>
</tr>
<tr>
<td style="width: 170.909px;" data-sheets-value='{"1":2,"2":"LG Corp"}' data-sheets-formula="=R[-20]C[0]">LG Corp</td>
<td style="text-align: right; width: 144.545px;" data-sheets-value='{"1":3,"3":0.5892560369567199}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=NAV!R[8]C[0]">58.93%</td>
<td style="text-align: right; width: 171.818px;" data-sheets-value='{"1":3,"3":0.7469661842230064}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=sum(NAV!R[12]C[-1]:R[15]C[-1])">74.70%</td>
<td style="text-align: right; width: 173.636px;" data-sheets-value='{"1":3,"3":0.7703324033104589}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=sum(NAV!R[12]C[-1]:R[15]C[-1])">77.03%</td>
</tr>
<tr>
<td style="width: 170.909px;" data-sheets-value='{"1":2,"2":"Samsung C&amp;T Corp"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]' data-sheets-formula="=R[-20]C[0]"><strong>Samsung C&amp;T Corp</strong></td>
<td style="text-align: right; width: 144.545px;" data-sheets-value='{"1":3,"3":0.6059911856682164}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=NAV!R[7]C[18]"><strong>60.60%</strong></td>
<td style="text-align: right; width: 171.818px;" data-sheets-value='{"1":3,"3":0.8026397073991763}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=sum(NAV!R[11]C[17]:R[12]C[17])"><strong>80.26%</strong></td>
<td style="text-align: right; width: 173.636px;" data-sheets-value='{"1":3,"3":0.8033397666310156}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=sum(NAV!R[11]C[17]:R[12]C[17])"><strong>80.33%</strong></td>
</tr>
<tr>
<td style="width: 170.909px;" data-sheets-value='{"1":2,"2":"SK Inc"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]' data-sheets-formula="=R[-20]C[0]"><strong>SK Inc</strong></td>
<td style="text-align: right; width: 144.545px;" data-sheets-value='{"1":3,"3":0.5173210462000755}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=NAV!R[6]C[24]"><strong>51.73%</strong></td>
<td style="text-align: right; width: 171.818px;" data-sheets-value='{"1":3,"3":0.689824350306107}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=sum(NAV!R[10]C[23]:R[12]C[23])"><strong>68.98%</strong></td>
<td style="text-align: right; width: 173.636px;" data-sheets-value='{"1":3,"3":0.5561346382258038}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=sum(NAV!R[10]C[23]:R[12]C[23])"><strong>55.61%</strong></td>
</tr>
<tr>
<td style="width: 170.909px;" data-sheets-value='{"1":2,"2":"Lotte Corp"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]' data-sheets-formula="=R[-20]C[0]">Lotte Corp</td>
<td style="text-align: right; width: 144.545px;" data-sheets-value='{"1":3,"3":0.5968470100117429}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=NAV!R[5]C[30]">59.68%</td>
<td style="text-align: right; width: 171.818px;" data-sheets-value='{"1":3,"3":0.5945490346234877}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=sum(NAV!R[9]C[29]:R[10]C[29])">59.45%</td>
<td style="text-align: right; width: 173.636px;" data-sheets-value='{"1":3,"3":0.4605223220736323}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=sum(NAV!R[9]C[29]:R[10]C[29])">46.05%</td>
</tr>
<tr>
<td style="width: 170.909px;" data-sheets-value='{"1":2,"2":"Hanwha Corp"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]' data-sheets-formula="=R[-20]C[0]"><strong>Hanwha Corp</strong></td>
<td style="text-align: right; width: 144.545px;" data-sheets-value='{"1":3,"3":0.5852680864437579}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=NAV!R[4]C[36]"><strong>58.53%</strong></td>
<td style="text-align: right; width: 171.818px;" data-sheets-value='{"1":3,"3":0.877152435515112}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=sum(NAV!R[8]C[35]:R[10]C[35])"><strong>87.72%</strong></td>
<td style="text-align: right; width: 173.636px;" data-sheets-value='{"1":3,"3":0.5736380974953866}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=sum(NAV!R[8]C[35]:R[10]C[35])"><strong>57.36%</strong></td>
</tr>
<tr>
<td style="width: 170.909px;" data-sheets-value='{"1":2,"2":"CJ Corp"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]' data-sheets-formula="=R[-20]C[0]"><strong>CJ Corp</strong></td>
<td style="text-align: right; width: 144.545px;" data-sheets-value='{"1":3,"3":0.47009805549763056}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=NAV!R[3]C[42]"><strong>47.01%</strong></td>
<td style="text-align: right; width: 171.818px;" data-sheets-value='{"1":3,"3":0.8302884441278204}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=sum(NAV!R[7]C[41]:R[8]C[41])"><strong>83.03%</strong></td>
<td style="text-align: right; width: 173.636px;" data-sheets-value='{"1":3,"3":0.7147074125488337}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=sum(NAV!R[7]C[41]:R[8]C[41])"><strong>71.47%</strong></td>
</tr>
<tr>
<td style="width: 170.909px;" data-sheets-value='{"1":2,"2":"Kolmar Korea Holdings Co Ltd"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]' data-sheets-formula="=R[-20]C[0]"><strong>* Kolmar Korea Holdings Co Ltd</strong></td>
<td style="text-align: right; width: 144.545px;" data-sheets-value='{"1":3,"3":0.5340958452553032}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=NAV!R[2]C[48]"><strong>53.41%</strong></td>
<td style="text-align: right; width: 171.818px;" data-sheets-value='{"1":3,"3":0.8984875914324668}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=sum(NAV!R[6]C[47]:R[7]C[47])"><strong>89.85%</strong></td>
<td style="text-align: right; width: 173.636px;" data-sheets-value='{"1":3,"3":0.8395502332299523}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=sum(NAV!R[6]C[47]:R[7]C[47])"><strong>83.96%</strong></td>
</tr>
<tr><td colspan="4" rowspan="1" style="width: 723.636px;" data-sheets-value='{"1":2,"2":"Source: KRX"}'>Source: KRX</td></tr>
</tbody>
</table><p>SK Inc and Hanwha Corp are trading 6.53% and 3.30%, respectively, below the 180-day price ratio average relative to their synthetic subsidiaries. As for Kolmar Korea, it is 6.47% above the 180-day mean.</p><table class="table table-striped">
<colgroup>
<col width="70">
<col width="70">
<col width="70">
<col width="70">
</colgroup>
<tbody>
<tr>
<td style="width: 180.909px;" data-sheets-value='{"1":2,"2":"Price ratio"}' data-sheets-numberformat='{"1":4,"2":"[$₩]#,##0"}'>Price ratio</td>
<td style="text-align: right; width: 150.909px;" data-sheets-value='{"1":2,"2":"%Δ to 180-day mean"}' data-sheets-numberformat='{"1":4,"2":"[$₩]#,##0"}'>%Δ to 180-day mean</td>
<td style="text-align: right; width: 164.545px;" data-sheets-value='{"1":2,"2":"%Δ to 180-day high"}' data-sheets-numberformat='{"1":4,"2":"[$₩]#,##0"}'>%Δ to 180-day high</td>
<td style="text-align: right; width: 164.545px;" data-sheets-value='{"1":2,"2":"%Δ to 180-day low"}' data-sheets-numberformat='{"1":4,"2":"[$₩]#,##0"}'>%Δ to 180-day low</td>
</tr>
<tr>
<td style="width: 180.909px;" data-sheets-value='{"1":2,"2":"LG Corp"}' data-sheets-formula="=R[-30]C[0]">LG Corp</td>
<td style="text-align: right; width: 150.909px;" data-sheets-value='{"1":3,"3":0.27272027473479676}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R[0]C5-R[0]C[4])/R[0]C[4]">27.27%</td>
<td style="text-align: right; width: 164.545px;" data-sheets-value='{"1":3,"3":-0.026235211045486387}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R[0]C5-R[0]C[4])/R[0]C[4]">-2.62%</td>
<td style="text-align: right; width: 164.545px;" data-sheets-value='{"1":3,"3":0.5671932907320105}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R[0]C5-R[0]C[4])/R[0]C[4]">56.72%</td>
</tr>
<tr>
<td style="width: 180.909px;" data-sheets-value='{"1":2,"2":"Samsung C&amp;T Corp"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]' data-sheets-formula="=R[-30]C[0]">Samsung C&amp;T Corp</td>
<td style="text-align: right; width: 150.909px;" data-sheets-value='{"1":3,"3":-0.006511973440811065}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R[0]C5-R[0]C[4])/R[0]C[4]">-0.65%</td>
<td style="text-align: right; width: 164.545px;" data-sheets-value='{"1":3,"3":-0.14552204142483482}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R[0]C5-R[0]C[4])/R[0]C[4]">-14.55%</td>
<td style="text-align: right; width: 164.545px;" data-sheets-value='{"1":3,"3":0.0747273432141876}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R[0]C5-R[0]C[4])/R[0]C[4]">7.47%</td>
</tr>
<tr>
<td style="width: 180.909px;" data-sheets-value='{"1":2,"2":"SK Inc"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]' data-sheets-formula="=R[-30]C[0]"><strong>SK Inc</strong></td>
<td style="text-align: right; width: 150.909px;" data-sheets-value='{"1":3,"3":-0.06531341088823561}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R[0]C5-R[0]C[4])/R[0]C[4]"><strong>-6.53%</strong></td>
<td style="text-align: right; width: 164.545px;" data-sheets-value='{"1":3,"3":-0.21895641555030068}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R[0]C5-R[0]C[4])/R[0]C[4]"><strong>-21.90%</strong></td>
<td style="text-align: right; width: 164.545px;" data-sheets-value='{"1":3,"3":0.07921083141757403}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R[0]C5-R[0]C[4])/R[0]C[4]"><strong>7.92%</strong></td>
</tr>
<tr>
<td style="width: 180.909px;" data-sheets-value='{"1":2,"2":"Lotte Corp"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]' data-sheets-formula="=R[-30]C[0]">Lotte Corp</td>
<td style="text-align: right; width: 150.909px;" data-sheets-value='{"1":3,"3":0.004316013360576035}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R[0]C5-R[0]C[4])/R[0]C[4]">0.43%</td>
<td style="text-align: right; width: 164.545px;" data-sheets-value='{"1":3,"3":-0.2435059662116036}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R[0]C5-R[0]C[4])/R[0]C[4]">-24.35%</td>
<td style="text-align: right; width: 164.545px;" data-sheets-value='{"1":3,"3":0.2347904810497161}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R[0]C5-R[0]C[4])/R[0]C[4]">23.48%</td>
</tr>
<tr>
<td style="width: 180.909px;" data-sheets-value='{"1":2,"2":"Hanwha Corp"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]' data-sheets-formula="=R[-30]C[0]"><strong>Hanwha Corp</strong></td>
<td style="text-align: right; width: 150.909px;" data-sheets-value='{"1":3,"3":-0.03301422776748001}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R[0]C5-R[0]C[4])/R[0]C[4]"><strong>-3.30%</strong></td>
<td style="text-align: right; width: 164.545px;" data-sheets-value='{"1":3,"3":-0.20602404741618788}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R[0]C5-R[0]C[4])/R[0]C[4]"><strong>-20.60%</strong></td>
<td style="text-align: right; width: 164.545px;" data-sheets-value='{"1":3,"3":0.09499308319149713}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R[0]C5-R[0]C[4])/R[0]C[4]"><strong>9.50%</strong></td>
</tr>
<tr>
<td style="width: 180.909px;" data-sheets-value='{"1":2,"2":"CJ Corp"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]' data-sheets-formula="=R[-30]C[0]">CJ Corp</td>
<td style="text-align: right; width: 150.909px;" data-sheets-value='{"1":3,"3":0.06798750716362237}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R[0]C5-R[0]C[4])/R[0]C[4]">6.80%</td>
<td style="text-align: right; width: 164.545px;" data-sheets-value='{"1":3,"3":-0.09780200889716528}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R[0]C5-R[0]C[4])/R[0]C[4]">-9.78%</td>
<td style="text-align: right; width: 164.545px;" data-sheets-value='{"1":3,"3":0.19502041976348705}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R[0]C5-R[0]C[4])/R[0]C[4]">19.50%</td>
</tr>
<tr>
<td style="width: 180.909px;" data-sheets-value='{"1":2,"2":"Kolmar Korea Holdings Co Ltd"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]' data-sheets-formula="=R[-30]C[0]"><strong>* Kolmar Korea Holdings Co Ltd</strong></td>
<td style="text-align: right; width: 150.909px;" data-sheets-value='{"1":3,"3":0.06471060029942335}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R[0]C5-R[0]C[4])/R[0]C[4]"><strong>6.47%</strong></td>
<td style="text-align: right; width: 164.545px;" data-sheets-value='{"1":3,"3":-0.07838372679745396}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R[0]C5-R[0]C[4])/R[0]C[4]"><strong>-7.84%</strong></td>
<td style="text-align: right; width: 164.545px;" data-sheets-value='{"1":3,"3":0.20003594429551463}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R[0]C5-R[0]C[4])/R[0]C[4]"><strong>20.00%</strong></td>
</tr>
<tr><td colspan="4" rowspan="1" style="width: 723.636px;" data-sheets-value='{"1":2,"2":"Source: KRX"}'>Source: KRX</td></tr>
</tbody>
</table>

I added Kolmar Korea Holdings to my synthetic subsidiary holding company list. As a result, I now track a total of 7 synthetic subsidiary holding companies, of which 3 names are currently at -1.0σ (or close) on a 20-day moving average.  







Holdco
Subsidiaries in a synthetic
Sigma (σ) on a 20-day moving average


LG Corp
LG Chem Ltd &amp; 3 others
0.95


Samsung C&amp;T Corp
Samsung Electronics Co Ltd &amp; 1 other
-0.34


SK Inc
SK Innovation Co Ltd &amp; 2 others
-1.54


Lotte Corp
Lotte Chemical Corp &amp; 1 other
0.49


Hanwha Corp
Hanwha Solutions Corp &amp; 2 others
-0.91


CJ Corp
CJ Cheiljedang Corp &amp; 1 other
-0.30


* Kolmar Korea Holdings Co Ltd
KolmarBNH Co Ltd &amp; 1 other
-1.23

Source: KRX

Starting with this insight, 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.The revised NAV discount calculations show that they are trading mostly within a 50~60% discount to the NAV. The largest discount goes to Samsung C&amp;T, while CJ Corp enjoys the lowest discount to its NAV. Kolmar Korea Holdings features a 53.41% discount to the NAV. It is a two-subsidiary holding company as they account for 89.85% of the NAV.








Discount &amp; weight
NAV discount
Synthetic subsidiary weight in NAV
Synthetic subsidiary weight in GAV


LG Corp
58.93%
74.70%
77.03%


Samsung C&amp;T Corp
60.60%
80.26%
80.33%


SK Inc
51.73%
68.98%
55.61%


Lotte Corp
59.68%
59.45%
46.05%


Hanwha Corp
58.53%
87.72%
57.36%


CJ Corp
47.01%
83.03%
71.47%


* Kolmar Korea Holdings Co Ltd
53.41%
89.85%
83.96%

Source: KRX

SK Inc and Hanwha Corp are trading 6.53% and 3.30%, respectively, below the 180-day price ratio average relative to their synthetic subsidiaries. As for Kolmar Korea, it is 6.47% above the 180-day mean.








Price ratio
%Δ to 180-day mean
%Δ to 180-day high
%Δ to 180-day low


LG Corp
27.27%
-2.62%
56.72%


Samsung C&amp;T Corp
-0.65%
-14.55%
7.47%


SK Inc
-6.53%
-21.90%
7.92%


Lotte Corp
0.43%
-24.35%
23.48%


Hanwha Corp
-3.30%
-20.60%
9.50%


CJ Corp
6.80%
-9.78%
19.50%


* Kolmar Korea Holdings Co Ltd
6.47%
-7.84%
20.00%

Source: KRX



Korea Synthetic Subsidiary Stub Trade: 7 in Total with 1 New One

The Korea Fair Trade Commission (KFTC) annually designates local conglomerates having an aggregate asset value of more than ₩5T as a Business Group Subject to Disclosure. These are the largest industrial conglomerates designated as a Business Group Subject to Disclosure as of the last yearend.









Rank
Conglomerate
Aggregate asset value
Number of subsidiaries
Holdco type


1
Samsung
₩424.9T
59
De-facto operating holdco


2
Hyundai Motor
₩234.7T
54
-


3
SK
₩225.5T
125
Legitimate operating holdco


4
LG
₩137.0T
70
Legitimate pure holdco


5
Lotte
₩121.5T
86
Legitimate pure holdco


6
POSCO
₩80.3T
35
-


7
Hanwha
₩71.7T
86
De-facto pure holdco


8
GS
₩66.8T
69
Legitimate pure holdco


9
Hyundai Heavy Industries
₩62.9T
30
Legitimate pure holdco


10
Shinsegae
₩44.1T
41
-


11
KT
₩36.3T
44
-


12
CJ
₩34.5T
77
Legitimate pure holdco


13
Hanjin
₩33.6T
31
Legitimate pure holdco


14
Doosan
₩29.3T
25
De facto pure holdco


15
LS
₩23.7T
54
Legitimate operating holdco


16
Booyoung
₩23.3T
23
-


17
DL
₩18.7T
32
Legitimate operating holdco

Source: Kore Fair Trade Commission

Of these 17 largest industrial conglomerates having an aggregate asset value of more than ₩20T, 6 business groups are suitable for pair trading with a synthetic subsidiary.
Samsung Group
SK Group
LG Group
Lotte Group
Hanwha Group
CJ Group
Hyundai Motor Group is a circular shareholding structure, not suitable for pair trading. POSCO, Shinsegae, KT, LS, and DL have substantial operating operations outweighing their respective listed subsidiaries. GS and Hyundai Heavy Industries have a significant presence from the unlisted companies: GS Caltex and Hyundai Oilbank. Hanjin and Doosan are more of single-subsidiary holding companies. Lastly, Booyoung is a privately-held company.Discount to NAV Samsung C&amp;T has the highest discount to the NAV at 62.77%, followed by SK Inc with 52.14%. On the other hand, CJ Corp has the lowest discount at 34.19%. Hanwha Corp also has a lower discount than the others at 38.87%.











NAV
LG Corp
Samsung C&amp;T Corp
SK Inc
Lotte Corp
Hanwha Corp
CJ Corp


Value of listed holdings
₩41,080.4B
₩52,346.7B
₩24,237.4B
₩5,377.5B
₩4,501.4B
₩5,038.1B


- % of Holdco market cap
188.20%
201.51%
128.30%
139.29%
195.29%
158.42%


Value of unlisted holdings
₩2,631.7B
₩2,528.3B
₩9,890.5B
₩1,147.7B
₩1,657.0B
₩311.7B


Stub value
-₩21,883.7B
-₩28,897.7B
-₩15,236.2B
-₩2,664.6B
-₩3,853.5B
-₩2,169.5B


Stub value per share
-₩126,820
-₩154,626
-₩216,545
-₩25,399
-₩51,408
-₩74,357


Value of operating assets
₩0.0B
₩6,100.3B
₩2,235.2B
₩0.0B
₩0.0B
₩0.0B


GAV
₩43,712.1B
₩60,975.2B
₩36,363.1B
₩6,525.2B
₩6,158.4B
₩5,349.8B


GAV per share
₩253,320
₩373,019
₩695,187
₩92,157
₩89,623
₩197,713


Discount to GAV (excl. treasury shares)
50.06%
62.74%
61.38%
60.07%
65.69%
44.87%


Holdco net cash/debt (de-consolidated)
₩1,941.8B
₩268.6B
-₩6,879.4B
-₩1,764.4B
-₩2,330.8B
-₩357.6B


Value of pref shares
₩329.8B
₩219.7B
₩140.4B
₩63.2B
₩371.0B
₩510.3B


NAV
₩45,324.1B
₩61,024.1B
₩29,343.3B
₩4,697.6B
₩3,456.7B
₩4,481.9B


NAV per share (excl. treasury shares)
₩262,662
₩373,318
₩560,983
₩66,346
₩50,304
₩165,638


Discount to NAV
51.84%
62.77%
52.14%
44.53%
38.87%
34.19%

Source: KRX &amp; DART

Synthetic subsidiary weightThe number of subsidiaries in a synthetic varies from 2 to 4, representing 67.91% to 130.22% of the NAV. LG Corp has 4, the most, having a synthetic weight of 87.87% of the NAV. SK Inc has 3 subsidiaries in its synthetic, representing 67.91% of the NAV. 









Holdco pair
Number of subsidiaries in a synthetic
Synthetic subsidiary weight in NAV
Synthetic subsidiary weight in GAV


LG Corp
4
87.87%
91.11%


Samsung C&amp;T Corp
2
76.04%
76.10%


SK Inc
3
67.91%
54.80%


Lotte Corp
2
80.47%
57.93%


Hanwha Corp
3
130.22%
73.09%


CJ Corp
2
99.77%
83.58%

Source: KRX

Sigma on a 20-day moving averageWhen I'm writing this post (2 PM in Korea local time today), SK Inc and Hanwha Corp are in a diversion below -1.0σ on a 20-day moving average relative to their respective synthetic subsidiary. In contrast, CJ Corp is in a 2.0σ diversion, just the opposite way.











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


LG Corp
0.87
1.02
1.26
1.39
1.56


Samsung C&amp;T Corp
-0.47
-0.55
0.30
-2.25
-2.53


SK Inc
-1.41
-1.64
-1.67
-1.74
-1.81


Lotte Corp
0.86
1.44
1.91
1.97
2.64


Hanwha Corp
-1.16
-0.77
-0.96
0.44
1.35


CJ Corp
1.92
1.03
0.54
0.82
1.83

Source: KRX



Korea Top Conglomerates Synthetic Pair Trading

South Korea

SK Holdings Co., Ltd. is a holdings company that is engaged in various industries including energy, chemicals, information technology, semiconductors, marketing, and services businesses in South Korea and internationally.

Price Gauge
52-week Range	0.00 - 0.00
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SK Inc (034730 KS)

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