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

Brian Freitas

Pan-Asia Index Rebalances/ Events/ Delta One

Event-Driven

<p><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> is a biopharmaceutical company that focuses on the discovery and production of vaccines. The company was spun off from <a href="https://www.smartkarma.com/entities/sk-chemicals-co-ltd-new" target="_blank" data-smartkarma-citation="entities:26190:1" rel="noopener">Sk Chemicals Co Ltd/New (285130 KS)</a> in 2018 and is now 68.65% owned by SK Chemicals.</p><p>The company issued stock at KRW 65,000/share in the IPO and the stock closed limit up at KRW 169,000 on listing day. Since then, the stock has dropped 30% and is trading at the lows since listing. The stock has been stable over the last few days as volumes taper off and a lot of flippers have likely exited the stock.</p><p>With 2 days to go in the 15 day period that is used to determine Fast Entry for new listings in the <a href="https://www.smartkarma.com/entities/korea-stock-exchange-kospi-200-index" target="_blank" data-smartkarma-citation="entities:26021:1" rel="noopener">Korea Stock Exchange Kospi 200 Index (KOSPI2 INDEX)</a>, we take a look at the probability of the stock getting Fast Entry into the index, the lock up expiry schedule and the impact of passive buying on the stock.</p><p>If included in the index, passive trackers will need to buy over 4% of the free floating <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> stock as of the implementation date. We see <a href="https://www.smartkarma.com/entities/sebang-global-battery-co-ltd" target="_blank" data-smartkarma-citation="entities:9618:1" rel="noopener">Sebang Global Battery (004490 KS)</a> as the most likely deletion to make way for SK Bioscience in the index.</p>

SK Bioscience (302440 KS) is a biopharmaceutical company that focuses on the discovery and production of vaccines. The company was spun off from Sk Chemicals Co Ltd/New (285130 KS) in 2018 and is now 68.65% owned by SK Chemicals.The company issued stock at KRW 65,000/share in the IPO and the stock closed limit up at KRW 169,000 on listing day. Since then, the stock has dropped 30% and is trading at the lows since listing. The stock has been stable over the last few days as volumes taper off and a lot of flippers have likely exited the stock.With 2 days to go in the 15 day period that is used to determine Fast Entry for new listings in the Korea Stock Exchange Kospi 200 Index (KOSPI2 INDEX), we take a look at the probability of the stock getting Fast Entry into the index, the lock up expiry schedule and the impact of passive buying on the stock.If included in the index, passive trackers will need to buy over 4% of the free floating SK Bioscience (302440 KS) stock as of the implementation date. We see Sebang Global Battery (004490 KS) as the most likely deletion to make way for SK Bioscience in the index.

SK Bioscience IPO: KOSPI200 Fast Entry Guaranteed; SGBC Most Likely Deletion

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.

Equity Capital Markets

<p>Below is the final allocation.</p><table class="table table-striped">
<colgroup>
<col width="70">
<col width="70">
<col width="70">
<col width="70">
<col width="70">
</colgroup>
<tbody>
<tr>
<td data-sheets-value='{"1":2,"2":"Type"}'>Type</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Initial"}'>Initial</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Subscription"}'>Subscription</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Allocation"}'>Allocation</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"%"}'>%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"ESOP"}'>ESOP</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":4590000}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>4,590,000</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":4490400}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>4,490,400</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":4490400}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>4,490,400</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.1957}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}'>19.57%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Institutional"}'>Institutional</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":12622500}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>12,622,500</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":12622500}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>12,622,500</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":12622500}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>12,622,500</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.55}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}'>55.00%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Retail"}'>Retail</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":5737500}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>5,737,500</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1957531110}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>1,957,531,110</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":5837100}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>5,837,100</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.2543}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}'>25.43%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Total"}'>Total</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":22950000}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=sum(R[-3]C[0]:R[-1]C[0])">22,950,000</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1974644010}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>1,974,644,010</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":22950000}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=sum(R[-3]C[0]:R[-1]C[0])">22,950,000</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=sum(R[-3]C[0]:R[-1]C[0])">100.00%</td>
</tr>
<tr><td colspan="5" rowspan="1" data-sheets-value='{"1":2,"2":"Source: DART"}'>Source: DART</td></tr>
</tbody>
</table><p>Below is the lockup pledge as a % of subscriptions.</p><p>Nearly 60% subscribed without lockup pledge.</p><table class="table table-striped">
<colgroup>
<col width="70">
<col width="70">
<col width="70">
</colgroup>
<tbody>
<tr>
<td style="width: 214.545px;" data-sheets-value='{"1":2,"2":"Lockup"}'>Lockup</td>
<td style="text-align: right; width: 185.455px;" data-sheets-value='{"1":2,"2":"Qty."}'>Qty.</td>
<td style="text-align: right; width: 163.636px;" data-sheets-value='{"1":2,"2":"% of subsc"}'>% of subscription</td>
</tr>
<tr>
<td style="width: 214.545px;" data-sheets-value='{"1":2,"2":"6 months"}'>6 months</td>
<td style="text-align: right; width: 185.455px;" data-sheets-value='{"1":3,"3":2194034000}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>2,194,034,000</td>
<td style="text-align: right; width: 163.636px;" data-sheets-value='{"1":3,"3":0.13627910091946424}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[0]C[-1]/R53C2">13.63%</td>
</tr>
<tr>
<td style="width: 214.545px;" data-sheets-value='{"1":2,"2":"3 months"}'>3 months</td>
<td style="text-align: right; width: 185.455px;" data-sheets-value='{"1":3,"3":3595764000}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>3,595,764,000</td>
<td style="text-align: right; width: 163.636px;" data-sheets-value='{"1":3,"3":0.22334543814661778}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[0]C[-1]/R53C2">22.33%</td>
</tr>
<tr>
<td style="width: 214.545px;" data-sheets-value='{"1":2,"2":"1 month"}'>1 month</td>
<td style="text-align: right; width: 185.455px;" data-sheets-value='{"1":3,"3":3246456500}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>3,246,456,500</td>
<td style="text-align: right; width: 163.636px;" data-sheets-value='{"1":3,"3":0.20164873151197776}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[0]C[-1]/R53C2">20.16%</td>
</tr>
<tr>
<td style="width: 214.545px;" data-sheets-value='{"1":2,"2":"15 days"}'>15 days</td>
<td style="text-align: right; width: 185.455px;" data-sheets-value='{"1":3,"3":610574000}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>610,574,000</td>
<td style="text-align: right; width: 163.636px;" data-sheets-value='{"1":3,"3":0.03792487981717738}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[0]C[-1]/R53C2">3.79%</td>
</tr>
<tr>
<td style="width: 214.545px;" data-sheets-value='{"1":2,"2":"None"}'>None</td>
<td style="text-align: right; width: 185.455px;" data-sheets-value='{"1":3,"3":9646828500}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>9,646,828,500</td>
<td style="text-align: right; width: 163.636px;" data-sheets-value='{"1":3,"3":0.5991981503952372}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[0]C[-1]/R53C2">59.92%</td>
</tr>
<tr>
<td style="width: 214.545px;" data-sheets-value='{"1":2,"2":"Total"}'>Total</td>
<td style="text-align: right; width: 185.455px;" data-sheets-value='{"1":3,"3":16099563214}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>16,099,563,214</td>
<td style="text-align: right; width: 163.636px;" data-sheets-value='{"1":3,"3":1}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[0]C[-1]/R53C2">100.00%</td>
</tr>
<tr><td colspan="3" rowspan="1" style="width: 605.455px;" data-sheets-value='{"1":2,"2":"Source: DART"}'>Source: DART</td></tr>
</tbody>
</table><p>A little surprisingly, 85% of the allocation went to lockup pledgers.</p><p>What can be deducted from it? It indicates that this IPO may have attracted more long-term investors than what we usually see from Korea's local IPOs.</p><table class="table table-striped">
<colgroup>
<col width="70">
<col width="70">
<col width="70">
<col width="70">
</colgroup>
<tbody>
<tr>
<td data-sheets-value='{"1":2,"2":"Lockup"}'>Lockup</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Qty."}'>Qty.</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"% of alloc"}'>% of allocation</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":"6 months"}'>6 months</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":3948100}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>3,948,100</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.3127827292533175}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[0]C[-1]/R14C2">31.28%</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.05160915032679739}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[0]C[-2]/R28C2">5.16%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"3 months"}'>3 months</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":3331000}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>3,331,000</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.2638938403644286}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[0]C[-1]/R14C2">26.39%</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.04354248366013072}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[0]C[-2]/R28C2">4.35%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"1 month"}'>1 month</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":3118610}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>3,118,610</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.24706753812636165}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[0]C[-1]/R14C2">24.71%</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.040766143790849675}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[0]C[-2]/R28C2">4.08%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"15 days"}'>15 days</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":364380}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>364,380</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.02886749851455734}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[0]C[-1]/R14C2">2.89%</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.00476313725490196}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[0]C[-2]/R28C2">0.48%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"None"}'>None</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1860410}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>1,860,410</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.14738839374133492}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[0]C[-1]/R14C2">14.74%</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.02431908496732026}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[0]C[-2]/R28C2">2.43%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Total"}'>Total</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":12622500}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>12,622,500</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[0]C[-1]/R14C2">100.00%</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.165}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[0]C[-2]/R28C2">16.50%</td>
</tr>
<tr><td colspan="4" rowspan="1" data-sheets-value='{"1":2,"2":"Source: DART"}'>Source: DART</td></tr>
</tbody>
</table><p>Following is the post-IPO shareholding.</p><table class="table table-striped">
<colgroup>
<col width="70">
<col width="70">
<col width="70">
<col width="70">
</colgroup>
<tbody>
<tr>
<td data-sheets-value='{"1":2,"2":"Shareholder"}'>Post-IPO shareholding</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Qty."}'>Qty.</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"%"}'>%</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Lock-up"}'>Lock-up</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"SK Chemical"}'>SK Chemical</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":52350000}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>52,350,000</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.6843137254901961}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[0]C[-1]/R28C2">68.43%</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"6 months"}'>6 months</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"ESOP"}'>ESOP</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":4490400}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=R[-17]C[2]">4,490,400</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.058698039215686275}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[0]C[-1]/R28C2">5.87%</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"1 year"}'>1 year</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Institutional"}'>Institutional</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":12622500}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=sum(R[1]C[0]:R[5]C[0])">12,622,500</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.165}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[0]C[-1]/R28C2">16.50%</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"-"}'>-</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - 6 months"}'>- 6 months</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":3948100}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=R[-12]C[0]">3,948,100</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.05160915032679739}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[0]C[-1]/R28C2">5.16%</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"6 months"}'>6 months</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - 3 months"}'>- 3 months</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":3331000}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=R[-12]C[0]">3,331,000</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.04354248366013072}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[0]C[-1]/R28C2">4.35%</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"3 months"}'>3 months</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - 1 month"}'>- 1 month</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":3118610}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=R[-12]C[0]">3,118,610</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.040766143790849675}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[0]C[-1]/R28C2">4.08%</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"1 month"}'>1 month</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - 15 days"}'>- 15 days</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":364380}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=R[-12]C[0]">364,380</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.00476313725490196}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[0]C[-1]/R28C2">0.48%</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"15 days"}'>15 days</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - None"}'>- None</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1860410}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=R[-12]C[0]">1,860,410</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.02431908496732026}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[0]C[-1]/R28C2">2.43%</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"None"}'>None</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Retail"}'>Retail</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":5837100}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=R[-22]C[2]">5,837,100</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.07630196078431373}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[0]C[-1]/R28C2">7.63%</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"None"}'>None</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Other"}'>Other</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1200000}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=R[1]C[0]-R[-9]C[0]-R[-8]C[0]-R[-7]C[0]-R[-1]C[0]">1,200,000</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.01568627450980392}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[0]C[-1]/R28C2">1.57%</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"None"}'>None</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Total"}'>Total</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":76500000}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>76,500,000</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=sum(R[-10]C[0]:R[-8]C[0])+R[-2]C[0]+R[-1]C[0]">100.00%</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"-"}'>-</td>
</tr>
<tr><td colspan="4" rowspan="1" data-sheets-value='{"1":2,"2":"Source: DART"}'>Source: DART</td></tr>
</tbody>
</table>

Below is the final allocation.









Type
Initial
Subscription
Allocation
%


ESOP
4,590,000
4,490,400
4,490,400
19.57%


Institutional
12,622,500
12,622,500
12,622,500
55.00%


Retail
5,737,500
1,957,531,110
5,837,100
25.43%


Total
22,950,000
1,974,644,010
22,950,000
100.00%

Source: DART

Below is the lockup pledge as a % of subscriptions.Nearly 60% subscribed without lockup pledge.







Lockup
Qty.
% of subscription


6 months
2,194,034,000
13.63%


3 months
3,595,764,000
22.33%


1 month
3,246,456,500
20.16%


15 days
610,574,000
3.79%


None
9,646,828,500
59.92%


Total
16,099,563,214
100.00%

Source: DART

A little surprisingly, 85% of the allocation went to lockup pledgers.What can be deducted from it? It indicates that this IPO may have attracted more long-term investors than what we usually see from Korea's local IPOs.








Lockup
Qty.
% of allocation
% of SO


6 months
3,948,100
31.28%
5.16%


3 months
3,331,000
26.39%
4.35%


1 month
3,118,610
24.71%
4.08%


15 days
364,380
2.89%
0.48%


None
1,860,410
14.74%
2.43%


Total
12,622,500
100.00%
16.50%

Source: DART

Following is the post-IPO shareholding.








Post-IPO shareholding
Qty.
%
Lock-up


SK Chemical
52,350,000
68.43%
6 months


ESOP
4,490,400
5.87%
1 year


Institutional
12,622,500
16.50%
-


- 6 months
3,948,100
5.16%
6 months


- 3 months
3,331,000
4.35%
3 months


- 1 month
3,118,610
4.08%
1 month


- 15 days
364,380
0.48%
15 days


- None
1,860,410
2.43%
None


Retail
5,837,100
7.63%
None


Other
1,200,000
1.57%
None


Total
76,500,000
100.00%
-

Source: DART



SK Bioscience IPO: Allocation & Lockup Schedule

SK Biobioscience IPO price hit the ceiling at ₩65,000, raising ₩1.5T with a ₩5T market cap.







Pricing (₩B)
Floor
Ceiling (final)


Price (₩)
₩49,000
₩65,000


Base deal size
1,124.6
1,491.8


- Institutional allotment
618.5
820.5


Implied market cap
3,748.5
4,972.5

Source: DART

Literally, all of the pricing sits at or above the high end.Despite several concerns, many investors must not be complaining about the price level.It is worth noting that foreign funds priced it a little less favorably than local investors.









By investor type
Institution
%
Demand
%


Local PO funds
513
35.04%
5,673,643,000
35.24%


Local BR/IA
32
2.19%
358,760,000
2.23%


Local pension/bank/insurance
281
19.19%
3,056,667,000
18.99%


Local others (hedge funds)
346
23.63%
3,927,753,000
24.40%


Foreign (foreign funds)
130
8.88%
1,150,736,214
7.15%


Foreign others (local hot money)
162
11.07%
1,932,004,000
12.00%


Total
1,464
100.00%
16,099,563,214
100.00%


Subscription rate
1,275.47

Source: DART











By price
Institution
%
Demand
%


Above high end
1,135
77.53%
12,982,935,500
80.64%


75-100% of high end
271
18.51%
2,592,017,714
16.10%


50-75% of high end
0
0.00%
0
0.00%


25-50% of high end
0
0.00%
0
0.00%


0-25% of high end
0
0.00%
0
0.00%


Median
0
0.00%
0
0.00%


75-100% of median
0
0.00%
0
0.00%


50-75% of median
0
0.00%
0
0.00%


25-50% of median
0
0.00%
0
0.00%


0-25% of median
0
0.00%
0
0.00%


Low end or below
0
0.00%
0
0.00%


Unspecified
58
3.96%
524,610,000
3.26%


Total
1,464
100.00%
16,099,563,214
100.00%

Source: DART











Local PO funds
Institution
%
Demand
%


Above high end
412
80.31%
4,614,489,000
81.33%


75-100% of high end
55
10.72%
610,783,000
10.77%


50-75% of high end
0
0.00%
0
0.00%


25-50% of high end
0
0.00%
0
0.00%


0-25% of high end
0
0.00%
0
0.00%


Median
0
0.00%
0
0.00%


75-100% of median
0
0.00%
0
0.00%


50-75% of median
0
0.00%
0
0.00%


25-50% of median
0
0.00%
0
0.00%


0-25% of median
0
0.00%
0
0.00%


Low end or below
0
0.00%
0
0.00%


Unspecified
46
8.97%
448,371,000
7.90%


Total
513
100.00%
5,673,643,000
100.00%

Source: DART











Local BR/IA
Institution
%
Demand
%


Above high end
23
71.88%
268,023,000
74.71%


75-100% of high end
9
28.13%
90,737,000
25.29%


50-75% of high end
0
0.00%
0
0.00%


25-50% of high end
0
0.00%
0
0.00%


0-25% of high end
0
0.00%
0
0.00%


Median
0
0.00%
0
0.00%


75-100% of median
0
0.00%
0
0.00%


50-75% of median
0
0.00%
0
0.00%


25-50% of median
0
0.00%
0
0.00%


0-25% of median
0
0.00%
0
0.00%


Low end or below
0
0.00%
0
0.00%


Unspecified
0
0.00%
0
0.00%


Total
32
100.00%
358,760,000
100.00%

Source: DART











Local pension/bank/insurance
Institution
%
Demand
%


Above high end
233
82.92%
2,553,390,000
83.54%


75-100% of high end
43
15.30%
452,784,000
14.81%


50-75% of high end
0
0.00%
0
0.00%


25-50% of high end
0
0.00%
0
0.00%


0-25% of high end
0
0.00%
0
0.00%


Median
0
0.00%
0
0.00%


75-100% of median
0
0.00%
0
0.00%


50-75% of median
0
0.00%
0
0.00%


25-50% of median
0
0.00%
0
0.00%


0-25% of median
0
0.00%
0
0.00%


Low end or below
0
0.00%
0
0.00%


Unspecified
5
1.78%
50,493,000
1.65%


Total
281
100.00%
3,056,667,000
100.00%

Source: DART











Local others (hedge funds)
Institution
%
Demand
%


Above high end
294
84.97%
3,412,833,000
86.89%


75-100% of high end
45
13.01%
489,174,000
12.45%


50-75% of high end
0
0.00%
0
0.00%


25-50% of high end
0
0.00%
0
0.00%


0-25% of high end
0
0.00%
0
0.00%


Median
0
0.00%
0
0.00%


75-100% of median
0
0.00%
0
0.00%


50-75% of median
0
0.00%
0
0.00%


25-50% of median
0
0.00%
0
0.00%


0-25% of median
0
0.00%
0
0.00%


Low end or below
0
0.00%
0
0.00%


Unspecified
7
2.02%
25,746,000
0.66%


Total
346
100.00%
3,927,753,000
100.00%

Source: DART











Foreign (foreign funds)
Institution
%
Demand
%


Above high end
22
16.92%
240,862,500
20.93%


75-100% of high end
108
83.08%
909,873,714
79.07%


50-75% of high end
0
0.00%
0
0.00%


25-50% of high end
0
0.00%
0
0.00%


0-25% of high end
0
0.00%
0
0.00%


Median
0
0.00%
0
0.00%


75-100% of median
0
0.00%
0
0.00%


50-75% of median
0
0.00%
0
0.00%


25-50% of median
0
0.00%
0
0.00%


0-25% of median
0
0.00%
0
0.00%


Low end or below
0
0.00%
0
0.00%


Unspecified
0
0.00%
0
0.00%


Total
130
100.00%
1,150,736,214
100.00%

Source: DART











Foreign others (local hot money)
Institution
%
Demand
%


Above high end
151
93.21%
1,893,338,000
98.00%


75-100% of high end
11
6.79%
38,666,000
2.00%


50-75% of high end
0
0.00%
0
0.00%


25-50% of high end
0
0.00%
0
0.00%


0-25% of high end
0
0.00%
0
0.00%


Median
0
0.00%
0
0.00%


75-100% of median
0
0.00%
0
0.00%


50-75% of median
0
0.00%
0
0.00%


25-50% of median
0
0.00%
0
0.00%


0-25% of median
0
0.00%
0
0.00%


Low end or below
0
0.00%
0
0.00%


Unspecified
0
0.00%
0
0.00%


Total
162
100.00%
1,932,004,000
100.00%

Source: DART



SK Bioscience IPO: Bookbuilding Results & KOSPI 200 Fast Entry

<p>The Korea Exchange (KRX) will announce the results of the June 2021 review of the <a href="https://www.smartkarma.com/entities/korea-stock-exchange-kospi-200-index" target="_blank" data-smartkarma-citation="entities:26021:1" rel="noopener">Korea Stock Exchange Kospi 200 Index (KOSPI2 INDEX)</a> in May with the changes becoming effective after the close of trading on 10 June.</p><p>We currently see <a href="https://www.smartkarma.com/entities/taihan-electric-wire-co-ltd" target="_blank" data-smartkarma-citation="entities:11551:1" rel="noopener">Taihan Electric Wire (001440 KS)</a>, <a href="https://www.smartkarma.com/entities/dongwon-industries-co-ltd" target="_blank" data-smartkarma-citation="entities:1783:1" rel="noopener">Dongwon Industries (006040 KS)</a>, <a href="https://www.smartkarma.com/entities/hyosung-advanced-materials-c" target="_blank" data-smartkarma-citation="entities:27751:1" rel="noopener">Hyosung Advanced Materials C (298050 KS)</a> and <a href="https://www.smartkarma.com/entities/hyosung-tnc-co-ltd" target="_blank" data-smartkarma-citation="entities:27749:1" rel="noopener">Hyosung TNC Co Ltd (298020 KS)</a> as potential inclusions in the index, with <a href="https://www.smartkarma.com/entities/taeyoung-engineering-construction-co-ltd" target="_blank" data-smartkarma-citation="entities:18740:1" rel="noopener">Taeyoung Engineering &amp; Construction (009410 KS)</a>, <a href="https://www.smartkarma.com/entities/namsun-aluminum-co-ltd" target="_blank" data-smartkarma-citation="entities:17514:1" rel="noopener">Namsun Aluminum (008350 KS)</a>, <a href="https://www.smartkarma.com/entities/hanil-hyundai-cement-co-ltd" target="_blank" data-smartkarma-citation="entities:14406:1" rel="noopener">Hanil Hyundai Cement (006390 KS)</a> and <a href="https://www.smartkarma.com/entities/binggrae-co-ltd" target="_blank" data-smartkarma-citation="entities:16424:1" rel="noopener">Binggrae Co Ltd (005180 KS)</a> as the corresponding exclusions.</p><p><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> is expected to list on the <a href="https://www.smartkarma.com/entities/korea-stock-exchange-kospi-index" target="_blank" data-smartkarma-citation="entities:22911:1" rel="noopener">Korea Stock Exchange Kospi Index (KOSPI INDEX)</a> market in March and there is a possibility that the stock gets Fast Entry into the index. That could see <a href="https://www.smartkarma.com/entities/sebang-global-battery-co-ltd" target="_blank" data-smartkarma-citation="entities:9618:1" rel="noopener">Sebang Global Battery (004490 KS)</a> being deleted from the index.</p><p><a href="https://www.smartkarma.com/entities/krafton-inc" target="_blank" data-smartkarma-citation="entities:28956:1" rel="noopener"> Krafton Inc (1486402D KS)</a> is another possible Fast Entry into the index though there are few details available on when the stock is expected to list.</p><p>The short sell ban in Korea has been extended to 2 May. Stocks that are constituents of the <a href="https://www.smartkarma.com/entities/korea-stock-exchange-kospi-200-index" target="_blank" data-smartkarma-citation="entities:26021:1" rel="noopener">Korea Stock Exchange Kospi 200 Index (KOSPI2 INDEX)</a> and <a href="https://www.smartkarma.com/entities/kosdaq-150-index" target="_blank" data-smartkarma-citation="entities:31077:1" rel="noopener">KOSDAQ 150 Index (KOSDQ150 INDEX)</a> can be short sold from 3 May. The commencement of short selling on these stocks prior to the announcement of the June review changes could result in the expected inclusions outperforming the expected exclusions and opening up other interesting trading strategies.</p>

The Korea Exchange (KRX) will announce the results of the June 2021 review of the Korea Stock Exchange Kospi 200 Index (KOSPI2 INDEX) in May with the changes becoming effective after the close of trading on 10 June.We currently see Taihan Electric Wire (001440 KS), Dongwon Industries (006040 KS), Hyosung Advanced Materials C (298050 KS) and Hyosung TNC Co Ltd (298020 KS) as potential inclusions in the index, with Taeyoung Engineering &amp; Construction (009410 KS), Namsun Aluminum (008350 KS), Hanil Hyundai Cement (006390 KS) and Binggrae Co Ltd (005180 KS) as the corresponding exclusions.SK Bioscience (302440 KS) is expected to list on the Korea Stock Exchange Kospi Index (KOSPI INDEX) market in March and there is a possibility that the stock gets Fast Entry into the index. That could see Sebang Global Battery (004490 KS) being deleted from the index. Krafton Inc (1486402D KS) is another possible Fast Entry into the index though there are few details available on when the stock is expected to list.The short sell ban in Korea has been extended to 2 May. Stocks that are constituents of the Korea Stock Exchange Kospi 200 Index (KOSPI2 INDEX) and KOSDAQ 150 Index (KOSDQ150 INDEX) can be short sold from 3 May. The commencement of short selling on these stocks prior to the announcement of the June review changes could result in the expected inclusions outperforming the expected exclusions and opening up other interesting trading strategies.

KOSPI200 Index Rebalance Preview: Increasing Number of Potential Changes

Korea/Asia, Events, IPOs, Douglas Research Advisory

Douglas Kim

Korea/Asia, Events, IPOs

<div class="content-highlight">
<p><strong>SK Bioscience is getting ready to complete its IPO in Korea in March. SK Bioscience will be the biggest IPO in Korea so far this year in 2021.</strong> The IPO price range is from 49,000 won to 65,000 won. The IPO deal base size ranges from US$1.0 billion to US$1.3 billion. The expected market cap after the IPO ranges from 3.8 trillion won to 5.0 trillion won, according to the bankers's valuation. The book building for the institutional investors starts on 4 March 2021. The lead bankers on this IPO include NH Investment &amp; Securities, Korea Investment &amp; Securities, and Mirae Asset Daewoo Securities. </p>
<p>Institutional investors will be allocated about 55% of the deal and retail 25%, and the rest will go to an employee stock ownership plan. There is a voluntary lock-up of 15 days to six months for investors. SK Bioscience is currently 98% owned by <a href="https://www.smartkarma.com/entities/sk-chemicals-co-ltd-new" target="_blank" data-smartkarma-citation="entities:26190:1" rel="noopener">Sk Chemicals Co Ltd/New (285130 KS) </a>and the latter company is 33.5% owned by <a href="https://www.smartkarma.com/entities/sk-discovery-co-ltd" target="_blank" data-smartkarma-citation="entities:5181:1" rel="noopener">Sk Discovery (006120 KS)</a>. </p>
<p>SK Bioscience was spun off from <a href="https://www.smartkarma.com/entities/sk-chemicals-co-ltd-new" target="_blank" data-smartkarma-citation="entities:26190:1" rel="noopener">Sk Chemicals Co Ltd/New (285130 KS)</a> in July 2018. SK Biosciene specializes in making vaccines. SK Bioscience is backed by <strong>Bill Gates.</strong> In June 2020, Bill Gates mentioned that SK Bioscience may be capable of producing 200 million COVID-19 vaccine kits by June 2021. The Bill &amp; Melinda Gates foundation <a href="https://www.skchemicals.com/prcenter/new_view.do" target="_blank" rel="noopener">gave</a> $3.6 million in May to SK Bioscience to accelerate the development of Covid-19 vaccines. </p>
</div>


SK Bioscience is getting ready to complete its IPO in Korea in March. SK Bioscience will be the biggest IPO in Korea so far this year in 2021. The IPO price range is from 49,000 won to 65,000 won. The IPO deal base size ranges from US$1.0 billion to US$1.3 billion. The expected market cap after the IPO ranges from 3.8 trillion won to 5.0 trillion won, according to the bankers's valuation. The book building for the institutional investors starts on 4 March 2021. The lead bankers on this IPO include NH Investment &amp; Securities, Korea Investment &amp; Securities, and Mirae Asset Daewoo Securities. 
Institutional investors will be allocated about 55% of the deal and retail 25%, and the rest will go to an employee stock ownership plan. There is a voluntary lock-up of 15 days to six months for investors. SK Bioscience is currently 98% owned by Sk Chemicals Co Ltd/New (285130 KS) and the latter company is 33.5% owned by Sk Discovery (006120 KS). 
SK Bioscience was spun off from Sk Chemicals Co Ltd/New (285130 KS) in July 2018. SK Biosciene specializes in making vaccines. SK Bioscience is backed by Bill Gates. In June 2020, Bill Gates mentioned that SK Bioscience may be capable of producing 200 million COVID-19 vaccine kits by June 2021. The Bill &amp; Melinda Gates foundation gave $3.6 million in May to SK Bioscience to accelerate the development of Covid-19 vaccines. 


SK Bioscience IPO Preview - Biggest IPO in Korea in 1Q 2021

South Korea

SK Chemicals Co.,Ltd manufactures environmentally friendly materials. The Company produces and sells composites, high-performance materials, energy saving materials, and other products. SK Chemicals also offers total healthcare solutions services. SK Chemicals serves customers worldwide.

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SK Chemicals (285130 KS)

SK Bioscience IPO: KOSPI200 Fast Entry Guaranteed; SGBC Most Likely Deletion

SK Bioscience's Fast Entry into the KOSPI200 Index is almost guaranteed. We see SGBC as the most likely deletion. With a lot of shares still locked...

Brian Freitas

SK Bioscience IPO: Allocation & Lockup Schedule

This post details SK Bioscience IPO's allocation results and lockup schedule (also the index float for KOSPI 200 fast-entry).

Sanghyun Park

SK Bioscience IPO: Bookbuilding Results & KOSPI 200 Fast Entry

This post has SK Bioscience's IPO book-building results and examines the situation/likelihood of the KOSPI 200 fast entry.

Sanghyun Park

KOSPI200 Index Rebalance Preview: Increasing Number of Potential Changes

We see 4 potential changes to the KOSPI200 index at the June review (up from 1 change in Nov). With the short sell ban expiring on 2 May for...

Brian Freitas

SK Bioscience IPO Preview - Biggest IPO in Korea in 1Q 2021

SK Bioscience is getting ready to complete its IPO in Korea in March. SK Bioscience will be the biggest IPO in Korea so far this year in 2021. The...

Douglas Kim

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