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>Many of the market participants were targeting the value disparity of SK Chemical vs. SK Chemicals. In the end, Metrica Partners became the first to make a move.</p><section class="figure"><figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/228/700/original/Screen+Shot+2021-09-08+at+6.05.10+PM.png?1631139447" class="editor-image img-responsive" data-smartkarma-image-id="228700"></figure></section><div class="content-caption">(Source: Metrica Partners website)</div><hr><p>SK Chemicals vs. SK Bioscience was still a tight pair until the end of July, maintaining its NAV discount at around 70%. It is hard to see a NAV discount of 70% as severely distorted among Korean holding company/subsidiary pairs. Yes, it is still a harsh discount, but it isn't unprecedented either.</p><section class="figure"><figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/228/692/original/Screen+Shot+2021-09-08+at+6.09.08+PM.png?1631138966" class="editor-image img-responsive" data-smartkarma-image-id="228692"></figure></section><p>But as SK Bioscience's stock price began to soar from August, the pair's coupling level completely collapsed.</p><figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/228/693/original/image_94055596421631139004681.png?1631139006" class="editor-image img-responsive" data-smartkarma-image-id="228693"></figure><p>Despite a significant correction in yesterday's stock prices (both SK Chemicals and SK Bioscience), thanks to Metrica, SK Chemicals is posting a discount to NAV of close to 80% based on yesterday's closing price.</p><table class="table table-striped">
<colgroup>
<col width="70">
<col width="70">
</colgroup>
<tbody>
<tr><td colspan="2" data-sheets-value='{"1":2,"2":"NAV"}' 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.">SK Chemicals NAV</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":15024.148650000001}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]' data-sheets-formula="=SUM(R[8]C[5])">₩15,024.1B</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":4.401029440164908}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=R[-1]C[0]/((R[3]C[-3]*R[0]C[-3])/1000000000)">440.10%</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":82.819}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]' data-sheets-formula="=SUM(R[7]C[5])">₩82.8B</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":-11693.187112}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]' data-sheets-formula="=(R[1]C[-3]*R[-2]C[-3]/1000000000)-R[-3]C[0]-R[-1]C[0]">-₩11,693.2B</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":-995046.6405863609}' data-sheets-numberformat='[null,2,"[$₩-412]#,##0",1]' data-sheets-formula="=R[-1]C[0]*1000000000/R[-3]C[-3]">-₩995,047</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Value of operating assets"}'>Value of operating assets</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1500}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]' data-sheets-formula="=SUM(R[8]C[5])">₩1,500.0B</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"GAV"}'>GAV</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":16606.96765}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]' data-sheets-formula="=R[-6]C[0]+R[-4]C[0]+R[-1]C[0]">₩16,607.0B</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"GAV per share"}'>GAV per share</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1414711.2925308687}' data-sheets-numberformat='[null,2,"[$₩-412]#,##0",1]' data-sheets-formula="=R[-1]C[0]/R[4]C[-3]*1000000000">₩1,414,711</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":0.7946577499354616}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=(R[-1]C[0]-R[-4]C[-3])/R[-1]C[0]">79.47%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Holdco net cash/debt (de-consolidated)"}'>Holdco net cash/debt (de-consolidated)</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-6.7}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]' data-sheets-formula="=R[5]C[5]">-₩6.7B</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":237.033875}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]' data-sheets-formula="=(R[-5]C[-3]*R[-2]C[-3]+R[-5]C[-2]*R[-2]C[-2])/1000000000">₩237.0B</td>
</tr>
<tr><td colspan="2"></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":16363.233774999999}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]' data-sheets-formula="=R[-5]C[0]+R[-2]C[0]-R[-1]C[0]"><strong>₩16,363.2B</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"NAV per share (excl. treasury shares)"}'><strong>NAV per share (excl. treasury shares)</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1393948.1362098644}' data-sheets-numberformat='[null,2,"[$₩-412]#,##0",1]' data-sheets-formula="=R[-1]C[0]/R[-1]C[-3]*1000000000"><strong>₩1,393,948</strong></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":0.7915991330998386}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=(R[-1]C[0]-R[-9]C[-3])/R[-1]C[0]"><strong>79.16%</strong></td>
</tr>
<tr><td colspan="2" data-sheets-value='{"1":2,"2":"Source: KRX &amp; DART","6":1}'>Source: KRX &amp; DART</td></tr>
</tbody>
</table><div class="content-highlight"><p><strong>The discount rate of 80% compared to NAV is still very badly distorted even with the local average. This means that, despite yesterday's price corrections, there is still more room to trade for value disparity on SK Chemicals vs. SK Bioscience.</strong></p></div>

Many of the market participants were targeting the value disparity of SK Chemical vs. SK Chemicals. In the end, Metrica Partners became the first to make a move.(Source: Metrica Partners website)SK Chemicals vs. SK Bioscience was still a tight pair until the end of July, maintaining its NAV discount at around 70%. It is hard to see a NAV discount of 70% as severely distorted among Korean holding company/subsidiary pairs. Yes, it is still a harsh discount, but it isn't unprecedented either.But as SK Bioscience's stock price began to soar from August, the pair's coupling level completely collapsed.Despite a significant correction in yesterday's stock prices (both SK Chemicals and SK Bioscience), thanks to Metrica, SK Chemicals is posting a discount to NAV of close to 80% based on yesterday's closing price.





SK Chemicals NAV

Value of listed holdings
₩15,024.1B


- % of Holdco market cap
440.10%


Value of unlisted holdings
₩82.8B


Stub value
-₩11,693.2B


Stub value per share
-₩995,047


Value of operating assets
₩1,500.0B


GAV
₩16,607.0B


GAV per share
₩1,414,711


Discount to GAV (excl. treasury shares)
79.47%


Holdco net cash/debt (de-consolidated)
-₩6.7B


Value of pref shares
₩237.0B



NAV
₩16,363.2B


NAV per share (excl. treasury shares)
₩1,393,948


Discount to NAV
79.16%

Source: KRX &amp; DART

The discount rate of 80% compared to NAV is still very badly distorted even with the local average. This means that, despite yesterday's price corrections, there is still more room to trade for value disparity on SK Chemicals vs. SK Bioscience.

Metrica's Activist Move on SK Chemical Is a Well-Thought-Out Strategy

Korea/Asia, Events, IPOs, Douglas Research Advisory

Douglas Kim

Korea/Asia, Events, IPOs

<p>A Singapore based activist hedge fund called Metrica Partners wrote a letter to the BOD of Sk Chemicals Co Ltd/New (285130 KS) which has become publicly available. The key highlights of the letter is that SK Chemicals should take partial profits on its stake in SK Bioscience (302440 KS) and pay higher dividends. Today, there was a big divergence in the share prices of SK Chemicals (up 8.8%) and SK Bioscience (down 6.7%). </p><p>Basically, the hedge fund believes that the shares of SK Chemicals are excessively undervalued, given its big stake (68.4%) in SK Bioscience. Metrica Partners currently has less than 5% stake in SK Chemicals. </p><div class="content-highlight">
<div>We believe that a higher probability scenario is for SK Chemicals to sell down about 3-5% stake in SK Bioscience which could be announced in the next 3-6 months. SK Bioscience currently has a market cap of 21.95 trillion won (287,000 won), If we take a 10% discount to this amount, it would be 19.76 trillion won and a 5% stake sale would involve 1 trillion won. </div>
<div></div>
<div>In other words, we would put a higher probability of SK Chemicals selling about 5% of its stake in SK Bioscience which could raise about 1 trillion won for the company. While this would be laudable, it would be much smaller than the measures proposed by Metrica. Of the 1 trillion won, we think that the BOD of SK Chemicals could allocate about 30-40% of this amount for special dividends.</div>
</div><div>All in all, a hedge fund going activist on SK Chemicals is likely to further rally the share price and we believe that the price gap between SK Chemicals and SK Bioscience is likely to narrow further in the weeks ahead. </div>

A Singapore based activist hedge fund called Metrica Partners wrote a letter to the BOD of Sk Chemicals Co Ltd/New (285130 KS) which has become publicly available. The key highlights of the letter is that SK Chemicals should take partial profits on its stake in SK Bioscience (302440 KS) and pay higher dividends. Today, there was a big divergence in the share prices of SK Chemicals (up 8.8%) and SK Bioscience (down 6.7%). Basically, the hedge fund believes that the shares of SK Chemicals are excessively undervalued, given its big stake (68.4%) in SK Bioscience. Metrica Partners currently has less than 5% stake in SK Chemicals. 
We believe that a higher probability scenario is for SK Chemicals to sell down about 3-5% stake in SK Bioscience which could be announced in the next 3-6 months. SK Bioscience currently has a market cap of 21.95 trillion won (287,000 won), If we take a 10% discount to this amount, it would be 19.76 trillion won and a 5% stake sale would involve 1 trillion won. 

In other words, we would put a higher probability of SK Chemicals selling about 5% of its stake in SK Bioscience which could raise about 1 trillion won for the company. While this would be laudable, it would be much smaller than the measures proposed by Metrica. Of the 1 trillion won, we think that the BOD of SK Chemicals could allocate about 30-40% of this amount for special dividends.
All in all, a hedge fund going activist on SK Chemicals is likely to further rally the share price and we believe that the price gap between SK Chemicals and SK Bioscience is likely to narrow further in the weeks ahead. 

Metrica Partners Urges SK Chemicals to Partially Sell SK Bioscience & Pay Higher Dividends

HD Hyundai Heavy Industries  / Event-Driven

<div class="content-highlight"><p>Hyundai Heavy Industries (HHI) announced its book building results and the IPO has been determined at 60,000 won, which was at the high end of the IPO price range. The demand ratio among the institutional investors was very strong at 1,836 to 1. There were 1,633 institutional investors that participated in the IPO survey of which 1,285 were domestic investors and 348 were overseas investors. </p></div><table class="table table-striped">
<colgroup>
<col>
<col span="4">
</colgroup>
<tbody>
<tr>
<td colspan="4" style="width: 470pt;"><div><strong>Institutional Investors Demand Breakdown of Hyundai Heavy Industries IPO Bookbuilding Results</strong></div></td>
<td style="width: 106pt;"><strong> </strong></td>
</tr>
<tr>
<td style="text-align: left;"><strong>Domestic Investors</strong></td>
<td style="text-align: center;"><strong> </strong></td>
<td style="text-align: center;"><strong> </strong></td>
<td style="text-align: center;"><strong> </strong></td>
<td style="text-align: center; width: 106pt;"><strong> </strong></td>
</tr>
<tr>
<td><strong> </strong></td>
<td style="text-align: center;"><strong>Asset mgmt companies</strong></td>
<td style="text-align: center;"><strong>Brokerages</strong></td>
<td style="text-align: center;"><strong>Pension funds/insurance/banks</strong></td>
<td style="text-align: center; width: 106pt;"><strong>Others</strong></td>
</tr>
<tr>
<td>No. of companies</td>
<td style="text-align: center; width: 106pt;">587</td>
<td style="text-align: center; width: 106pt;">40</td>
<td style="text-align: center; width: 106pt;">276</td>
<td style="text-align: center; width: 106pt;">382</td>
</tr>
<tr>
<td><strong>Demand</strong></td>
<td style="text-align: center; width: 106pt;"><strong>692 to 1</strong></td>
<td style="text-align: center; width: 106pt;"><strong>46.7 to 1</strong></td>
<td style="text-align: center; width: 106pt;"><strong>318.1 to 1</strong></td>
<td style="text-align: center; width: 106pt;"><strong>492.3 to 1</strong></td>
</tr>
<tr>
<td> </td>
<td style="text-align: center;"> </td>
<td style="text-align: center;"> </td>
<td style="text-align: center;"> </td>
<td style="text-align: center; width: 106pt;"> </td>
</tr>
<tr>
<td><strong> Overseas Investors</strong></td>
<td style="text-align: center;"><strong> </strong></td>
<td style="text-align: center;"><strong> </strong></td>
<td style="text-align: center;"> </td>
<td style="text-align: center; width: 106pt;"> </td>
</tr>
<tr>
<td><strong> </strong></td>
<td style="text-align: center;"><strong>(A)*</strong></td>
<td style="text-align: center;"><strong>(B)**</strong></td>
<td style="text-align: center;"> </td>
<td style="text-align: center; width: 106pt;"> </td>
</tr>
<tr>
<td>No. of companies</td>
<td style="text-align: center; width: 106pt;">132</td>
<td style="text-align: center; width: 106pt;">216</td>
<td style="text-align: center;"> </td>
<td style="text-align: center; width: 106pt;"> </td>
</tr>
<tr>
<td><strong>Demand</strong></td>
<td style="text-align: center; width: 106pt;"><strong>71.3 to 1</strong></td>
<td style="text-align: center; width: 106pt;"><strong>215.4 to 1</strong></td>
<td style="text-align: center;"> </td>
<td style="text-align: center; width: 106pt;"> </td>
</tr>
<tr>
<td> </td>
<td style="text-align: center;"> </td>
<td style="text-align: center;"> </td>
<td style="text-align: center;"> </td>
<td style="text-align: center; width: 106pt;"> </td>
</tr>
<tr>
<td><strong>Total (No. of companies)</strong></td>
<td style="text-align: center; width: 106pt;"><strong>1,633</strong></td>
<td style="text-align: center;"> </td>
<td style="text-align: center;"> </td>
<td style="text-align: center; width: 106pt;"> </td>
</tr>
<tr>
<td><strong>Total Demand</strong></td>
<td style="text-align: center; width: 106pt;"><strong>1,835.9 to 1</strong></td>
<td style="text-align: center;"> </td>
<td style="text-align: center;"> </td>
<td style="text-align: center; width: 106pt;"> </td>
</tr>
<tr><td colspan="5" style="width: 576pt;">Note: (A)* refers to overseas investment mgmt companies that have records of trading with the brokers involved in this deal.</td></tr>
<tr><td colspan="5" style="width: 576pt;">(B)** refers to overseas investment mgmt companies that do not have records of trading with the brokers involved in this deal.</td></tr>
<tr>
<td colspan="2">Source: Company data</td>
<td> </td>
<td> </td>
<td style="width: 106pt;"></td>
</tr>
</tbody>
</table><p>Unlike major IPOs this year such as <a href="https://www.smartkarma.com/entities/kakaobank-corp" target="_blank" data-smartkarma-citation="entities:33501:1" rel="noopener">KakaoBank (323410 KS)</a>, <a href="https://www.smartkarma.com/entities/sk-bioscience-co-ltd" target="_blank" data-smartkarma-citation="entities:31484:1" rel="noopener">SK Bioscience (302440 KS)</a>, and <a href="https://www.smartkarma.com/entities/sk-ie-technology" target="_blank" data-smartkarma-citation="entities:29207:1" rel="noopener">SK IE Technology (361610 KS) </a>which had numerous hallmarks of blockbuster positive outcomes post IPO, Hyundai Heavy Industries is a mixed bag, in our view. Despite surging new orders in 1H 2021, it remains to be seen if this is sustainable. There also remain a lot of question marks about the company's profitability as well as higher steel raw material costs, higher interest rates, and the M&amp;A of Daewoo Shipbuilding which may be blocked by regulators in EU/Japan.</p><p>Even the book building results imply a mixed bag. The high ratios of lock up period and high demand ratio are certainly very positive. Also, it has a low free float and solid employees subscription for the IPO shares. However, why did the institutional investors not indicate higher prices for the IPO (above 60,000 won)?</p>

Hyundai Heavy Industries (HHI) announced its book building results and the IPO has been determined at 60,000 won, which was at the high end of the IPO price range. The demand ratio among the institutional investors was very strong at 1,836 to 1. There were 1,633 institutional investors that participated in the IPO survey of which 1,285 were domestic investors and 348 were overseas investors. 






Institutional Investors Demand Breakdown of Hyundai Heavy Industries IPO Bookbuilding Results
 


Domestic Investors
 
 
 
 


 
Asset mgmt companies
Brokerages
Pension funds/insurance/banks
Others


No. of companies
587
40
276
382


Demand
692 to 1
46.7 to 1
318.1 to 1
492.3 to 1


 
 
 
 
 


 Overseas Investors
 
 
 
 


 
(A)*
(B)**
 
 


No. of companies
132
216
 
 


Demand
71.3 to 1
215.4 to 1
 
 


 
 
 
 
 


Total (No. of companies)
1,633
 
 
 


Total Demand
1,835.9 to 1
 
 
 

Note: (A)* refers to overseas investment mgmt companies that have records of trading with the brokers involved in this deal.
(B)** refers to overseas investment mgmt companies that do not have records of trading with the brokers involved in this deal.

Source: Company data
 
 



Unlike major IPOs this year such as KakaoBank (323410 KS), SK Bioscience (302440 KS), and SK IE Technology (361610 KS) which had numerous hallmarks of blockbuster positive outcomes post IPO, Hyundai Heavy Industries is a mixed bag, in our view. Despite surging new orders in 1H 2021, it remains to be seen if this is sustainable. There also remain a lot of question marks about the company's profitability as well as higher steel raw material costs, higher interest rates, and the M&amp;A of Daewoo Shipbuilding which may be blocked by regulators in EU/Japan.Even the book building results imply a mixed bag. The high ratios of lock up period and high demand ratio are certainly very positive. Also, it has a low free float and solid employees subscription for the IPO shares. However, why did the institutional investors not indicate higher prices for the IPO (above 60,000 won)?

Hyundai Heavy Industries - Trading Strategy Post Book Building Results

<p>Below are KOSPI stocks that will see lockup releases in September. Four of these stocks have recently gone public.</p><table class="table table-striped">
<colgroup>
<col width="100">
<col width="100">
<col width="100">
<col width="100">
<col width="100">
<col width="100">
</colgroup>
<tbody>
<tr>
<td data-sheets-value='{"1":2,"2":"Name"}'>Name</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Ticker"}'>Ticker</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Share type"}'>Share type</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Release date"}'>Release date</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Release volume"}'>Release volume</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"% of SO"}'>% of SO</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Ottogi Corp"}' data-sheets-formula='=googlefinance(R[0]C[1], "name")'>Ottogi Corp</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"007310"}' data-sheets-formula='="007310"'>007310</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Ordinary"}'>Ordinary</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":44464}' data-sheets-numberformat='[null,5,"yyyy. mm. dd",1]'>2021. 09. 25</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":66744}' data-sheets-numberformat='[null,2,"#,##0",1]'>66,744</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.018176564639087185}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula='=R[0]C[-1]/googlefinance(R[0]C[-4], "shares")'>1.82%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Ajusteel Co Ltd"}' data-sheets-formula='=googlefinance(R[0]C[1], "name")'><strong>Ajusteel</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"139990"}' data-sheets-formula='="139990"'><strong>139990</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Ordinary"}'><strong>Ordinary</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":44459}' data-sheets-numberformat='[null,5,"yyyy. mm. dd",1]'><strong>2021. 09. 20</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":2507518}' data-sheets-numberformat='[null,2,"#,##0",1]' data-sheets-formula="=sum('139990'!R[12]C[0]:R[18]C[0])+'139990'!R[24]C[0]"><strong>2,507,518</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.09479434764359199}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula='=R[0]C[-1]/googlefinance(R[0]C[-4], "shares")'><strong>9.48%</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Y2 Solution Co Ltd"}' data-sheets-formula='=googlefinance(R[0]C[1], "name")'>Y2 Solution</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"011690"}' data-sheets-formula='="011690"'>011690</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Ordinary"}'>Ordinary</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":44458}' data-sheets-numberformat='[null,5,"yyyy. mm. dd",1]'>2021. 09. 19</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":59000000}' data-sheets-numberformat='[null,2,"#,##0",1]'>59,000,000</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.40071820384082696}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula='=R[0]C[-1]/googlefinance(R[0]C[-4], "shares")'>40.07%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"SK Bioscience Co Ltd"}' data-sheets-formula='=googlefinance(R[0]C[1], "name")'><strong>SK Bioscience</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"302440"}' data-sheets-formula='="302440"'><strong>302440</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Ordinary"}'><strong>Ordinary</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":44457}' data-sheets-numberformat='[null,5,"yyyy. mm. dd",1]'><strong>2021. 09. 18</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":56298100}' data-sheets-numberformat='[null,2,"#,##0",1]' data-sheets-formula="='302440'!R[4]C[0]+'302440'!R[8]C[0]"><strong>56,298,100</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.7359228758169934}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula='=R[0]C[-1]/googlefinance(R[0]C[-4], "shares")'><strong>73.59%</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Krafton Inc"}' data-sheets-formula='=googlefinance(R[0]C[1], "name")'><strong>Krafton</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"259960"}' data-sheets-formula='="259960"'><strong>259960</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Ordinary"}'><strong>Ordinary</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":44449}' data-sheets-numberformat='[null,5,"yyyy. mm. dd",1]'><strong>2021. 09. 10</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":2137478}' data-sheets-numberformat='[null,2,"#,##0",1]' data-sheets-formula="=sum('259960'!R[18]C[0]:R[19]C[0])+'259960'!R[25]C[0]"><strong>2,137,478</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.0436652687167866}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula='=R[0]C[-1]/googlefinance(R[0]C[-4], "shares")'><strong>4.37%</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Krafton Inc"}' data-sheets-formula='=googlefinance(R[0]C[1], "name")'><strong>Krafton</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"259960"}' data-sheets-formula='="259960"'><strong>259960</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Ordinary"}'><strong>Ordinary</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":44448}' data-sheets-numberformat='[null,5,"yyyy. mm. dd",1]'><strong>2021. 09. 09</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":90000}' data-sheets-numberformat='[null,2,"#,##0",1]'><strong>90,000</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.0018385565533356573}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula='=R[0]C[-1]/googlefinance(R[0]C[-4], "shares")'><strong>0.18%</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Kakao Bank"}'><strong>Kakao Bank</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"323410"}' data-sheets-formula='="323410"'><strong>323410</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Ordinary"}'><strong>Ordinary</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":44445}' data-sheets-numberformat='[null,5,"yyyy. mm. dd",1]'><strong>2021. 09. 06</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":3141600}' data-sheets-numberformat='[null,2,"#,##0",1]' data-sheets-formula="='323410'!R[13]C[0]"><strong>3,141,600</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.006612499332430348}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula='=R[0]C[-1]/googlefinance(R[0]C[-4], "shares")'><strong>0.66%</strong></td>
</tr>
<tr><td colspan="6" rowspan="1" data-sheets-value='{"1":2,"2":"Source: KRX KIND"}'>Source: KRX KIND</td></tr>
</tbody>
</table><hr><div class="content-highlight"><p><strong>In the DETAIL section below, let's take a look at the flow of the 4 recently listed stocks this month one by one.</strong></p></div>

Below are KOSPI stocks that will see lockup releases in September. Four of these stocks have recently gone public.










Name
Ticker
Share type
Release date
Release volume
% of SO


Ottogi Corp
007310
Ordinary
2021. 09. 25
66,744
1.82%


Ajusteel
139990
Ordinary
2021. 09. 20
2,507,518
9.48%


Y2 Solution
011690
Ordinary
2021. 09. 19
59,000,000
40.07%


SK Bioscience
302440
Ordinary
2021. 09. 18
56,298,100
73.59%


Krafton
259960
Ordinary
2021. 09. 10
2,137,478
4.37%


Krafton
259960
Ordinary
2021. 09. 09
90,000
0.18%


Kakao Bank
323410
Ordinary
2021. 09. 06
3,141,600
0.66%

Source: KRX KIND

In the DETAIL section below, let's take a look at the flow of the 4 recently listed stocks this month one by one.

September Lockup Releases on KOSPI: Looking at Each Stock's Flow Situation

<p>As shown below, KRX BBIG consists of one mother index and four sub-indices. That is, a total of five individual indices each have their own ETF.</p><table class="table table-striped">
<colgroup>
<col width="100">
<col width="100">
<col width="100">
</colgroup>
<tbody>
<tr>
<td style="width: 248.991px;" data-sheets-value='{"1":2,"2":"Index calculations"}'>Index calculations</td>
<td style="width: 191.989px;" data-sheets-value='{"1":2,"2":"BBIG"}'>BBIG (the mother index)</td>
<td style="width: 305.028px;" data-sheets-value='{"1":2,"2":"Four sub-indices"}'>
<div>Four sub-indices</div>
<div>: Secondary Battery, Bio, Internet, &amp; Game</div>
</td>
</tr>
<tr>
<td style="width: 248.991px;" data-sheets-value='{"1":2,"2":"Number of constituents"}'>Number of constituents</td>
<td style="width: 191.989px;" data-sheets-value='{"1":3,"3":12}' data-sheets-numberformat='{"1":2,"2":"#,##0"}'>12</td>
<td style="width: 305.028px;" data-sheets-value='{"1":3,"3":10}' data-sheets-numberformat='{"1":2,"2":"#,##0"}'>10</td>
</tr>
<tr>
<td colspan="1" rowspan="2" style="width: 248.991px;" data-sheets-value='{"1":2,"2":"Index weight"}'><div>Index weight</div></td>
<td colspan="1" rowspan="2" style="width: 191.989px;" data-sheets-value='{"1":2,"2":"Equal-weighted at 8.33%"}' data-sheets-numberformat='{"1":2,"2":"#,##0"}'><div>Equal-weighted at 8.33%</div></td>
<td colspan="1" rowspan="2" style="width: 305.028px;" data-sheets-value='{"1":2,"2":"Top 3 (by full market cap): Equal-weighted at 25%\nThe remaining 7: float-adjusted market cap-weighted totaling 25%"}' data-sheets-numberformat='{"1":2,"2":"#,##0"}'><div>Top 3 (by full market cap): Equal-weighted at 25%<br>The remaining 7: float-adjusted market-cap-weighted totaling 25%</div></td>
</tr>
<tr></tr>
<tr><td colspan="3" rowspan="1" style="width: 746.008px;" data-sheets-value='{"1":2,"2":"Source: KRX &amp; WISE Index"}' data-sheets-numberformat='{"1":2,"2":"₩#,##0.0B"}'>Source: KRX &amp; WISE Index</td></tr>
</tbody>
</table><p>It is important to note that these indices consist of only 10 to 12 stocks. <strong>In addition, futures of the KRX BBIG mother index and two sub-indices (Secondary Battery and Bio) have been listed and operated since July of this year.</strong></p><section class="figure"><figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/227/980/original/Screen+Shot+2021-09-05+at+3.22.23+AM.png?1630829541" class="editor-image img-responsive" data-smartkarma-image-id="227980"></figure></section><div class="content-highlight">
<p><strong>Hence, these indices provide relatively suitable conditions for ETF arbitrage.</strong></p>
<ul>
<li><strong>In other words, we can aim for arbitrage using an ETF/NAV disparity. In particular, in Korea, we get tax-free benefits (no transaction tax) when selling ETFs.</strong></li>
<li><strong>For this reason, if a disparity rises above -0.25% (equivalent to transaction tax rate), we can consider a classic ETF arb setup.</strong></li>
<li><strong>We buy underlying securities and undergo ETF creation and redemption in the primary and then sell ETFs in the secondary market.</strong></li>
</ul>
</div>

As shown below, KRX BBIG consists of one mother index and four sub-indices. That is, a total of five individual indices each have their own ETF.







Index calculations
BBIG (the mother index)

Four sub-indices
: Secondary Battery, Bio, Internet, &amp; Game



Number of constituents
12
10


Index weight
Equal-weighted at 8.33%
Top 3 (by full market cap): Equal-weighted at 25% The remaining 7: float-adjusted market-cap-weighted totaling 25%


Source: KRX &amp; WISE Index

It is important to note that these indices consist of only 10 to 12 stocks. In addition, futures of the KRX BBIG mother index and two sub-indices (Secondary Battery and Bio) have been listed and operated since July of this year.
Hence, these indices provide relatively suitable conditions for ETF arbitrage.

In other words, we can aim for arbitrage using an ETF/NAV disparity. In particular, in Korea, we get tax-free benefits (no transaction tax) when selling ETFs.
For this reason, if a disparity rises above -0.25% (equivalent to transaction tax rate), we can consider a classic ETF arb setup.
We buy underlying securities and undergo ETF creation and redemption in the primary and then sell ETFs in the secondary market.



ETF Arbitrage Using KRX BBIG New Deal Is on the Rise

South Korea

SK Bioscience Co.,Ltd. operates biopharmaceutical businesses. The Company produces vaccines, sky cellflu prefilled syringes, sky cellflu quadrivalent prefilled syringes, varicella drugs, and other related products. SK Bioscience markets its products throughout South Korea.

Price Gauge
52-week Range	0.00 - 0.00
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SK Bioscience (302440 KS)

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