Korea/Asia, Events, IPOs, Douglas Research Advisory

Douglas Kim

Korea/Asia, Events, IPOs

Equity Capital Markets

HD Hyundai Heavy Industries  / Equity Capital Markets

<div class="content-highlight">
<p>Our base case valuation of Hyundai Heavy Industries is implied market cap of 5.9 trillion won or 66,573 won per share, which is 11% higher than the high end of the IPO price range of 60,000 won per share.</p>
<p>Typically, we like to rate an IPO positive if our base case valuation is at least 15% higher than the high end of the IPO price range and as such we have a NEGATIVE view of this IPO. The valuation sits on the borderline case and our base case valuation does not provide a big upside to the IPO price range. </p>
</div><p>Our base case valuation is based on 1x our estimated equity of 6.1 trillion won for the company at the end of 2021. Our valuation multiple of 1.0x P/B is based on the average P/B valuation multiple of the peers.</p><p>HHI had 22.7% market share of new orders for shipbuilding in 2020, rising to 24.1% in 1Q 2021. It had new orders of 3,2m GT in 1Q 2021, which was nearly 84% of total new orders in 2020. </p>


Our base case valuation of Hyundai Heavy Industries is implied market cap of 5.9 trillion won or 66,573 won per share, which is 11% higher than the high end of the IPO price range of 60,000 won per share.
Typically, we like to rate an IPO positive if our base case valuation is at least 15% higher than the high end of the IPO price range and as such we have a NEGATIVE view of this IPO. The valuation sits on the borderline case and our base case valuation does not provide a big upside to the IPO price range. 
Our base case valuation is based on 1x our estimated equity of 6.1 trillion won for the company at the end of 2021. Our valuation multiple of 1.0x P/B is based on the average P/B valuation multiple of the peers.HHI had 22.7% market share of new orders for shipbuilding in 2020, rising to 24.1% in 1Q 2021. It had new orders of 3,2m GT in 1Q 2021, which was nearly 84% of total new orders in 2020. 

Hyundai Heavy Industries IPO Valuation Analysis

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.

HD Korea Shipbuilding & Offshore Engineering / Equity Capital Markets

HD Korea Shipbuilding & Offshore Engineering

<div><div><h2>Offering size</h2></div></div><div><p>Hyundai Heavy Industries (HHI) offers 18M shares, which account for 25.43% of the pre-IPO total shares, of which 55-75% are allocated to institutions. It will be listed on KOSPI.</p></div><table class="table table-striped">
<colgroup>
<col width="100">
<col width="100">
</colgroup>
<tbody>
<tr><td colspan="2" data-sheets-value='{"1":2,"2":"Offering size"}'>Offering size</td></tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Ticker"}'>Ticker</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"329180"}' data-sheets-numberformat='{"1":2,"2":"[$₩-412]#,##0","3":1}' data-sheets-formula="=R[1]C[-2]">329180</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Bourse"}'>Bourse</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"KOSPI"}'>KOSPI</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Offering"}'><strong>Offering</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":8654230}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'><strong>18,000,000</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"- % of SO"}'><strong>- % of pre-IPO SO</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.25433386315786916}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=Terms!R[5]C[-2]"><strong>25.43%</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"- Institutional allotment"}'><strong>- Institutional allotment</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"55.00~75.00%"}' data-sheets-formula="=Terms!R[5]C[-2]"><strong>55.00~75.00%</strong></td>
</tr>
<tr><td colspan="2" data-sheets-value='{"1":2,"2":"Source: DART"}'>Source: DART</td></tr>
</tbody>
</table><div class="content-highlight">
<p><strong>Who is HHI?</strong></p>
<ul>
<li>HHI is the world's largest shipbuilding company based in Korea. Since its establishment in 1973, it has maintained the No. 1 position in the global shipbuilding market since 1983.</li>
<li>Prior to the establishment of the holding company in 2017, Hyundai Heavy Industries was at the apex of a circular shareholding structure that led to Chung Mong-jun (owner) → Hyundai Heavy Industries → Hyundai Samho Heavy Industries → Hyundai Mipo Dockyard → Hyundai Heavy Industries.</li>
<li>In June 2019, Hyundai Heavy Industries conducted a physical division to take over Daewoo Shipbuilding &amp; Marine Engineering. It was divided into an intermediate holding company, Korea Shipbuilding &amp; Offshore Engineering (KSOE), and an operating company, Hyundai Heavy Industries. For this reason, KSOE currently owns 100% of HHI.</li>
</ul>
</div><div><div><h2>Split</h2></div></div><div>
<p>This IPO is a 100% primary offering. As a result, this offering will see a capital increase rate of 25.43% with a shareholding dilution of 20.28%. This event is free of any additional options: cornerstone, clawback, or greenshoe.</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":"Split"}'>Split</td></tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Primary %"}'><strong>Primary %</strong></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="=Terms!R[3]C[-2]"><strong>100.00%</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Secondary %"}'>Secondary %</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=Terms!R[4]C[-2]">0.00%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Capital increase rate"}'><strong>Capital increase rate</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.25433386315786916}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=Terms!R[4]C[-2]"><strong>25.43%</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Dilution"}'>Dilution</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.20276408907399399}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=Terms!R[4]C[-2]">20.28%</td>
</tr>
<tr><td colspan="2" data-sheets-value='{"1":2,"2":"Source: DART"}'>Source: DART</td></tr>
</tbody>
</table>
</div><div><div></div></div><div>
<div><div><h2>Schedule</h2></div></div>
<div>
<p>The book opens on August 26 (September 2 for local institutions) and runs until September 3. The allotment will be on September 6, finalizing an offering price. The subscription falls on September 7.</p>
<table class="table table-striped">
<colgroup>
<col width="100">
<col width="100">
</colgroup>
<tbody>
<tr><td colspan="2" rowspan="1" data-sheets-value='{"1":2,"2":"Schedule"}'>Schedule</td></tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Book open"}'><strong>Book open</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":44434}' data-sheets-numberformat='{"1":5,"2":"yyyy\". \"mm\". \"dd","3":1}'><strong>2021. 08. 26</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Book close"}'>Book close</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":44442}' data-sheets-numberformat='{"1":5,"2":"yyyy\". \"mm\". \"dd","3":1}'>2021. 09. 03</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Allotment"}'><strong>Allotment</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":44445}' data-sheets-numberformat='{"1":5,"2":"yyyy\". \"mm\". \"dd","3":1}'><strong>2021. 09. 06</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Subscription"}'><strong>Subscription</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":44446}' data-sheets-numberformat='{"1":5,"2":"yyyy\". \"mm\". \"dd","3":1}'><strong>2021. 09. 07</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Payment"}'>Payment</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":44449}' data-sheets-numberformat='{"1":5,"2":"yyyy\". \"mm\". \"dd","3":1}'>2021. 09. 10</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Listing"}'>Listing</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"-"}'>-</td>
</tr>
<tr><td colspan="2" rowspan="1" data-sheets-value='{"1":2,"2":"Source: DART"}'>Source: DART</td></tr>
</tbody>
</table>
<div><div><h2>Pricing</h2></div></div>
<div><p>This IPO also uses PBR. The corporate value was determined after selecting the following five companies (one from Korea and four from China):</p></div>
<div><ol style="list-style-type: decimal;">
<li><a href="https://www.smartkarma.com/entities/daewoo-shipbuilding-marine-engineering" target="_blank" data-smartkarma-citation="entities:12531:1" rel="noopener">Daewoo Shipbuilding &amp; Marine Engineering (042660 KS)</a></li>
<li><a href="https://www.smartkarma.com/entities/china-shipbuilding-industry-co-ltd" target="_blank" data-smartkarma-citation="entities:5789:1" rel="noopener">China Shipbuilding Industry (601989 CH)</a></li>
<li>
<a href="https://www.smartkarma.com/entities/china-cssc-holdings-ltd-a" target="_blank" data-smartkarma-citation="entities:2464:1" rel="noopener">China CSSC Holdings Ltd A (600150 CH)</a> </li>
<li>
<a href="https://www.smartkarma.com/entities/yangzijiang-shipbuilding-holdings-limited" target="_blank" data-smartkarma-citation="entities:660:1" rel="noopener">Yangzijiang Shipbuilding (YZJSGD SP)</a> </li>
<li>
<a href="https://www.smartkarma.com/entities/cssc-offshore-marine-engg-group-co-ltd" target="_blank" data-smartkarma-citation="entities:5089:1" rel="noopener">Cssc Offshore &amp; Marine Engg Group (317 HK)</a> </li>
</ol></div>
<div>
<p>The <strong>average P/B multiple</strong> of these five valuation peers come at <strong>1.12x</strong> based on their 1Q21 financials.</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">
<col width="100">
</colgroup>
<tbody>
<tr>
<td data-sheets-value='{"1":2,"2":"FY2021 1Q based annualized net earnings based P/E"}'>As of FY2021 1Q</td>
<td data-sheets-value='{"1":2,"2":"Note"}'>Note</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"DSME"}'>DSME</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"China Shipbuilding Industry Company Ltd"}'>China Shipbuilding Industry Company Ltd</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"China CSSC Holdings Ltd"}'>China CSSC Holdings Ltd</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Yangzijiang Shipbuilding Holdings Ltd"}'>Yangzijiang Shipbuilding Holdings Ltd</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"CSSC Offshore and Marine Engineering Group Co Ltd"}'>CSSC Offshore and Marine Engineering Group Co Ltd</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Equity"}'>Equity</td>
<td data-sheets-value='{"1":2,"2":"A"}'>A</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":3635.589}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]'>₩3,635.6B</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":15324.249}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]'>₩15,324.2B</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":9411.029}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]'>₩9,411.0B</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":6066.149}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]'>₩6,066.1B</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":3057.162}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]'>₩3,057.2B</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Non controlling interest"}'>Non-controlling interest</td>
<td data-sheets-value='{"1":2,"2":"B"}'>B</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]'>₩0.0B</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":157.608}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]'>₩157.6B</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1247.454}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]'>₩1,247.5B</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":186.08}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]'>₩186.1B</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":550.639}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]'>₩550.6B</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Applied equity"}'>Applied equity</td>
<td data-sheets-value='{"1":2,"2":"C=A-B"}'>C=A-B</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":3635.589}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]' data-sheets-formula="=R[-2]C[0]-R[-1]C[0]">₩3,635.6B</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":15166.641}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]' data-sheets-formula="=R[-2]C[0]-R[-1]C[0]">₩15,166.6B</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":8163.575000000001}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]' data-sheets-formula="=R[-2]C[0]-R[-1]C[0]">₩8,163.6B</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":5880.069}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]' data-sheets-formula="=R[-2]C[0]-R[-1]C[0]">₩5,880.1B</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":2506.5229999999997}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]' data-sheets-formula="=R[-2]C[0]-R[-1]C[0]">₩2,506.5B</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Reference market cap"}'>Reference market cap</td>
<td data-sheets-value='{"1":2,"2":"D"}'>D</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":3401.114}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]'>₩3,401.1B</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":15590.917}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]'>₩15,590.9B</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":11966.681}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]'>₩11,966.7B</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":4552.47}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]'>₩4,552.5B</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":3504.253}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]'>₩3,504.3B</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"PBR"}'><strong>PBR</strong></td>
<td data-sheets-value='{"1":2,"2":"E=D÷C"}'><strong>E=D÷C</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.94}' data-sheets-numberformat='[null,2,"0.00x"]'><strong>0.94x</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1.03}' data-sheets-numberformat='[null,2,"0.00x"]'><strong>1.03x</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1.47}' data-sheets-numberformat='[null,2,"0.00x"]'><strong>1.47x</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.77}' data-sheets-numberformat='[null,2,"0.00x"]'><strong>0.77x</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1.4}' data-sheets-numberformat='[null,2,"0.00x"]'><strong>1.40x</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Average PBR"}'><strong>Average PBR</strong></td>
<td data-sheets-value='{"1":2,"2":"-"}'><strong>-</strong></td>
<td colspan="5" rowspan="1" style="text-align: center;" data-sheets-value='{"1":3,"3":1.12}' data-sheets-numberformat='[null,2,"0.00x"]'><strong>1.12x</strong></td>
</tr>
<tr><td colspan="7" rowspan="1" data-sheets-value='{"1":2,"2":"Source: DART"}'>Source: DART</td></tr>
</tbody>
</table>
<p>The averaged P/B multiple of 1.12x was applied to HHI's equity of ₩5,035.7B from the second quarter of this year. Then, an IPO flow of ₩936.0B (at the lower end of the indicative price band) was added. As a result, we have <strong>a reference market cap of ₩6.58T</strong>, giving <strong>a price per share of ₩74,094</strong>.</p>
</div>
<table class="table table-striped">
<colgroup>
<col width="100">
<col width="100">
<col width="100">
</colgroup>
<tbody>
<tr><td colspan="3" style="width: 719.119px;" data-sheets-value='{"1":2,"2":"P/E valuation"}'>HHI: P/B valuation</td></tr>
<tr>
<td style="width: 239.702px;" data-sheets-value='{"1":2,"2":"Average PBR"}'>Average PBR</td>
<td style="width: 161.804px;" data-sheets-value='{"1":2,"2":"A"}'>A</td>
<td style="text-align: right; width: 317.614px;" data-sheets-value='{"1":3,"3":1.12}' data-sheets-numberformat='[null,2,"0.00x"]' data-sheets-formula="=R[-4]C[0]">1.12x</td>
</tr>
<tr>
<td style="width: 239.702px;" data-sheets-value='{"1":2,"2":"Applied equity"}'><strong>Applied equity</strong></td>
<td style="width: 161.804px;" data-sheets-value='{"1":2,"2":"B"}'><strong>B</strong></td>
<td style="text-align: right; width: 317.614px;" data-sheets-value='{"1":3,"3":5035.677}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]'><strong>₩5,035.7B</strong></td>
</tr>
<tr>
<td style="width: 239.702px;" data-sheets-value='{"1":2,"2":"IPO inflow"}'><strong>IPO inflow</strong></td>
<td style="width: 161.804px;" data-sheets-value='{"1":2,"2":"C"}'><strong>C</strong></td>
<td style="text-align: right; width: 317.614px;" data-sheets-value='{"1":3,"3":936}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]'><strong>₩936.0B</strong></td>
</tr>
<tr>
<td style="width: 239.702px;" data-sheets-value='{"1":2,"2":"Reference market cap"}'><strong>Reference market cap</strong></td>
<td style="width: 161.804px;" data-sheets-value='{"1":2,"2":"D=(AxB)+C"}'><strong>D=(AxB)+C</strong></td>
<td style="text-align: right; width: 317.614px;" data-sheets-value='{"1":3,"3":6577.587}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]'><strong>₩6,577.6B</strong></td>
</tr>
<tr>
<td style="width: 239.702px;" data-sheets-value='{"1":2,"2":"Post-IPO SO"}'>Post-IPO SO</td>
<td style="width: 161.804px;" data-sheets-value='{"1":2,"2":"E"}'>E</td>
<td style="text-align: right; width: 317.614px;" data-sheets-value='{"1":3,"3":88773116}' data-sheets-numberformat='[null,2,"#,##0",1]'>88,773,116</td>
</tr>
<tr>
<td style="width: 239.702px;" data-sheets-value='{"1":2,"2":"Price per share"}'><strong>Price per share</strong></td>
<td style="width: 161.804px;" data-sheets-value='{"1":2,"2":"F=D÷E"}'><strong>F=D÷E</strong></td>
<td style="text-align: right; width: 317.614px;" data-sheets-value='{"1":3,"3":74094}' data-sheets-numberformat='{"1":4,"2":"[$₩]#,##0"}'><strong>₩74,094</strong></td>
</tr>
<tr><td colspan="3" style="width: 719.119px;" data-sheets-value='{"1":2,"2":"Source: DART"}'>Source: DART</td></tr>
</tbody>
</table>
<p>The <strong>indicative price band</strong> lies between <strong>₩52,000 and ₩60,000</strong>. This is obtained by applying a <strong>discount rate of</strong><strong>19.02% to 29.82%</strong> to the market cap of ₩6.58T calculated through PBR. This much discount gives a <strong>P/B multiple of 0.77x to 0.89x</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":"Pricing"}'>Pricing</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Low"}'>Low</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"High"}'>High</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Price"}'><strong>Price</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":52000}' data-sheets-numberformat='[null,2,"[$₩-412]#,##0",1]'><strong>₩52,000</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":60000}' data-sheets-numberformat='[null,2,"[$₩-412]#,##0",1]'><strong>₩60,000</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Base deal size"}'>Base deal size</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":936}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]' data-sheets-formula="=R[-1]C[0]*Terms!R8C2/1000000000">₩936.0B</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1080}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]' data-sheets-formula="=R[-1]C[0]*Terms!R8C2/1000000000">₩1,080.0B</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - Institutional allotment (55%)"}'>- Institutional allotment (55%)</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":514.8000000000001}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]' data-sheets-formula="=R[-1]C[0]*55%">₩514.8B</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":594}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]' data-sheets-formula="=R[-1]C[0]*55%">₩594.0B</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Implied market cap"}'>Implied market cap</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":4616.202032}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]' data-sheets-formula="=R[-3]C[0]*R23C3/1000000000">₩4,616.2B</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":5326.38696}' data-sheets-numberformat='[null,2,"₩#,##0.0B"]' data-sheets-formula="=R[-3]C[0]*R23C3/1000000000">₩5,326.4B</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - Discount"}'><strong>- Discount</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.2981887872162388}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=(R24C3-R[-4]C[0])/R24C3"><strong>29.82%</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.1902178314033525}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=(R24C3-R[-4]C[0])/R24C3"><strong>19.02%</strong></td>
</tr>
<tr>
<td><strong>Implied PBR</strong></td>
<td style="text-align: right;"><strong>0.77x</strong></td>
<td style="text-align: right;"><strong>0.89x</strong></td>
</tr>
<tr><td colspan="3" data-sheets-value='{"1":2,"2":"Source: DART"}'>Source: DART</td></tr>
</tbody>
</table>
</div>
</div>

Offering sizeHyundai Heavy Industries (HHI) offers 18M shares, which account for 25.43% of the pre-IPO total shares, of which 55-75% are allocated to institutions. It will be listed on KOSPI.





Offering size

Ticker
329180


Bourse
KOSPI


Offering
18,000,000


- % of pre-IPO SO
25.43%


- Institutional allotment
55.00~75.00%

Source: DART


Who is HHI?

HHI is the world's largest shipbuilding company based in Korea. Since its establishment in 1973, it has maintained the No. 1 position in the global shipbuilding market since 1983.
Prior to the establishment of the holding company in 2017, Hyundai Heavy Industries was at the apex of a circular shareholding structure that led to Chung Mong-jun (owner) → Hyundai Heavy Industries → Hyundai Samho Heavy Industries → Hyundai Mipo Dockyard → Hyundai Heavy Industries.
In June 2019, Hyundai Heavy Industries conducted a physical division to take over Daewoo Shipbuilding &amp; Marine Engineering. It was divided into an intermediate holding company, Korea Shipbuilding &amp; Offshore Engineering (KSOE), and an operating company, Hyundai Heavy Industries. For this reason, KSOE currently owns 100% of HHI.

Split
This IPO is a 100% primary offering. As a result, this offering will see a capital increase rate of 25.43% with a shareholding dilution of 20.28%. This event is free of any additional options: cornerstone, clawback, or greenshoe.






Split

Primary %
100.00%


Secondary %
0.00%


Capital increase rate
25.43%


Dilution
20.28%

Source: DART



Schedule

The book opens on August 26 (September 2 for local institutions) and runs until September 3. The allotment will be on September 6, finalizing an offering price. The subscription falls on September 7.






Schedule

Book open
2021. 08. 26


Book close
2021. 09. 03


Allotment
2021. 09. 06


Subscription
2021. 09. 07


Payment
2021. 09. 10


Listing
-

Source: DART


Pricing
This IPO also uses PBR. The corporate value was determined after selecting the following five companies (one from Korea and four from China):

Daewoo Shipbuilding &amp; Marine Engineering (042660 KS)
China Shipbuilding Industry (601989 CH)

China CSSC Holdings Ltd A (600150 CH) 

Yangzijiang Shipbuilding (YZJSGD SP) 

Cssc Offshore &amp; Marine Engg Group (317 HK) 


The average P/B multiple of these five valuation peers come at 1.12x based on their 1Q21 financials.












As of FY2021 1Q
Note
DSME
China Shipbuilding Industry Company Ltd
China CSSC Holdings Ltd
Yangzijiang Shipbuilding Holdings Ltd
CSSC Offshore and Marine Engineering Group Co Ltd


Equity
A
₩3,635.6B
₩15,324.2B
₩9,411.0B
₩6,066.1B
₩3,057.2B


Non-controlling interest
B
₩0.0B
₩157.6B
₩1,247.5B
₩186.1B
₩550.6B


Applied equity
C=A-B
₩3,635.6B
₩15,166.6B
₩8,163.6B
₩5,880.1B
₩2,506.5B


Reference market cap
D
₩3,401.1B
₩15,590.9B
₩11,966.7B
₩4,552.5B
₩3,504.3B


PBR
E=D÷C
0.94x
1.03x
1.47x
0.77x
1.40x


Average PBR
-
1.12x

Source: DART


The averaged P/B multiple of 1.12x was applied to HHI's equity of ₩5,035.7B from the second quarter of this year. Then, an IPO flow of ₩936.0B (at the lower end of the indicative price band) was added. As a result, we have a reference market cap of ₩6.58T, giving a price per share of ₩74,094.








HHI: P/B valuation

Average PBR
A
1.12x


Applied equity
B
₩5,035.7B


IPO inflow
C
₩936.0B


Reference market cap
D=(AxB)+C
₩6,577.6B


Post-IPO SO
E
88,773,116


Price per share
F=D÷E
₩74,094

Source: DART


The indicative price band lies between ₩52,000 and ₩60,000. This is obtained by applying a discount rate of19.02% to 29.82% to the market cap of ₩6.58T calculated through PBR. This much discount gives a P/B multiple of 0.77x to 0.89x.








Pricing
Low
High


Price
₩52,000
₩60,000


Base deal size
₩936.0B
₩1,080.0B


- Institutional allotment (55%)
₩514.8B
₩594.0B


Implied market cap
₩4,616.2B
₩5,326.4B


- Discount
29.82%
19.02%


Implied PBR
0.77x
0.89x

Source: DART





Hyundai Heavy Industries IPO: Offering Details & Valuation Issues

Event-Driven

<p>Hyundai Oilbank has officially started the IPO process. It has reportedly sent out an RFP to local and overseas brokerages. The company is expected to pursue a listing on the KOSPI in early 2022.</p><div class="content-highlight">
<p>After stopping preparations for an IPO in 2019, it again seeks to enter the stock market after more than two years. This is the third challenge since 2012, when the first listing attempt was made.</p>
<ul>
<li><strong>In 2012, the company gave up halfway due to the sharp drop in international oil prices. </strong></li>
<li><strong>In 2017, Hyundai Oilbank was designated as a company subject to accounting supervision. So the IPO was again abandoned midway.</strong></li>
</ul>
</div><p>In January 2019, Hyundai Oilbank raised an equity investment worth ₩1.37T from Saudi Aramco for a 17% stake, and as a result, officially announced the suspension of the IPO. So, the estimated IPO valuation at this point is about ₩8.1T. <strong>The Aramco investment of ₩1.37T for a 17% stake translates into an ₩8.1T valuation.</strong></p><p><em>Hyundai Oilbank recorded an operating profit of ₩412.8B in the first quarter of this year, successfully turning to black compared to the previous quarter.</em></p>

Hyundai Oilbank has officially started the IPO process. It has reportedly sent out an RFP to local and overseas brokerages. The company is expected to pursue a listing on the KOSPI in early 2022.
After stopping preparations for an IPO in 2019, it again seeks to enter the stock market after more than two years. This is the third challenge since 2012, when the first listing attempt was made.

In 2012, the company gave up halfway due to the sharp drop in international oil prices. 
In 2017, Hyundai Oilbank was designated as a company subject to accounting supervision. So the IPO was again abandoned midway.

In January 2019, Hyundai Oilbank raised an equity investment worth ₩1.37T from Saudi Aramco for a 17% stake, and as a result, officially announced the suspension of the IPO. So, the estimated IPO valuation at this point is about ₩8.1T. The Aramco investment of ₩1.37T for a 17% stake translates into an ₩8.1T valuation.Hyundai Oilbank recorded an operating profit of ₩412.8B in the first quarter of this year, successfully turning to black compared to the previous quarter.

KOSE (Long) Vs. HHI Holdings (Short) Pair Trade on Hyundai Oilbank IPO

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

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








Comp 1
Comp 2
180-day correlation coefficient
Business type


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


Hyundai Department Store Co Ltd
Lotte Shopping Co Ltd
0.97033
Retail


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


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


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


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


Hansol Chemical Co Ltd
Posco Chemical Co Ltd
0.95374
Chemical


Hanwha Aerospace Co Ltd
Korea Aerospace Industries Ltd
0.95243
Aerospace


KG DongbuSteel Co Ltd
POSCO
0.95174
Steel


KG DongbuSteel Co Ltd
Hyundai Steel Co
0.94972
Steel

Source: KRX

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








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


E-Mart Inc
Lotte Shopping Co Ltd
0.85128
-3.27


Silicon Works Co Ltd
LG Electronics Inc.
0.82411
2.79


BGF Retail Co Ltd
E-Mart Inc
0.84733
2.58


Woori Financial Group Inc
KB Financial Group Inc
0.84517
-2.47


Pan Ocean Co Ltd
HMM Co Ltd
0.93591
-2.33


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


SK Innovation Co Ltd
Samsung SDI Co Ltd
0.94587
2.19


Hanwha Aerospace Co Ltd
Korea Aerospace Industries Ltd
0.95243
2.09


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


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

Source: KRX



Korea Sector Long/Short Pairs Trade Ideas

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

Brian Freitas

Pan-Asia Index Rebalances/ Events/ Delta One

Quantitative Analysis

<div><p>The Asia Short Interest weekly looks at moves in market wide short interest and highlights movements in stock specific short interest across Hong Kong, Japan, Korea and Taiwan using the last available data published by the relevant authorities.</p></div><div><p>Hong Kong saw shorts rise on <a href="https://www.smartkarma.com/entities/alibaba-group" target="_blank" data-smartkarma-citation="entities:28434:1" rel="noopener">Alibaba Group (9988 HK)</a>, <a href="https://www.smartkarma.com/entities/byd-co-ltd-h" target="_blank" data-smartkarma-citation="entities:20962:1" rel="noopener">BYD (1211 HK)</a>, <a href="https://www.smartkarma.com/entities/aia-group-ltd" target="_blank" data-smartkarma-citation="entities:14895:1" rel="noopener">AIA Group Ltd (1299 HK)</a>, <a href="https://www.smartkarma.com/entities/xiaomi-corp" target="_blank" data-smartkarma-citation="entities:24409:1" rel="noopener">Xiaomi Corp (1810 HK)</a> and <a href="https://www.smartkarma.com/entities/byd-electronic-international-co-ltd" target="_blank" data-smartkarma-citation="entities:1927:1" rel="noopener">BYD Electronics (285 HK)</a> while there was short covering on <a href="https://www.smartkarma.com/entities/ping-an-insurance-grp-co-of-china-ltd" target="_blank" data-smartkarma-citation="entities:12880:1" rel="noopener">Ping An Insurance (H) (2318 HK)</a>, <a href="https://www.smartkarma.com/entities/country-garden-services-holdings-company-limited" target="_blank" data-smartkarma-citation="entities:27343:1" rel="noopener">Country Garden Services Holdings (6098 HK)</a>, <a href="https://www.smartkarma.com/entities/meituan-dianping" target="_blank" data-smartkarma-citation="entities:26970:1" rel="noopener">Meituan (3690 HK)</a>, <a href="https://www.smartkarma.com/entities/postal-savings-bank-of-china" target="_blank" data-smartkarma-citation="entities:22848:1" rel="noopener">Postal Savings Bank of China (1658 HK)</a> and <a href="https://www.smartkarma.com/entities/citic-securities-h" target="_blank" data-smartkarma-citation="entities:463:1" rel="noopener">Citic Securities (H) (6030 HK)</a>. Shorts increased in the Consumer Discretionary, Information Technology, Health Care and Communication Services sectors, and decreased in the Financials and Industrials sectors.</p></div><div><p>In Japan, stocks that saw the most shorts were <a href="https://www.smartkarma.com/entities/toshiba-corp" target="_blank" data-smartkarma-citation="entities:637:1" rel="noopener">Toshiba Corp (6502 JP)</a>, <a href="https://www.smartkarma.com/entities/cosmos-pharmaceutical-corp" target="_blank" data-smartkarma-citation="entities:3797:1" rel="noopener">Cosmos Pharmaceutical (3349 JP)</a>, <a href="https://www.smartkarma.com/entities/rakus-co-ltd" target="_blank" data-smartkarma-citation="entities:29200:1" rel="noopener">Rakus Co Ltd (3923 JP)</a>, <a href="https://www.smartkarma.com/entities/daito-trust-construct-co-ltd" target="_blank" data-smartkarma-citation="entities:10503:1" rel="noopener">Daito Trust Construct (1878 JP)</a> and <a href="https://www.smartkarma.com/entities/aeon-financial-service-co-ltd" target="_blank" data-smartkarma-citation="entities:5887:1" rel="noopener">Aeon Financial (8570 JP)</a> while shorts decreased on <a href="https://www.smartkarma.com/entities/ryohin-keikaku-co-ltd" target="_blank" data-smartkarma-citation="entities:2765:1" rel="noopener">Ryohin Keikaku (7453 JP)</a>, <a href="https://www.smartkarma.com/entities/aeon-co-ltd" target="_blank" data-smartkarma-citation="entities:3:1" rel="noopener">Aeon Co Ltd (8267 JP)</a>, <a href="https://www.smartkarma.com/entities/lasertec-corp" target="_blank" data-smartkarma-citation="entities:4126:1" rel="noopener">Lasertec Corp (6920 JP)</a>, <a href="https://www.smartkarma.com/entities/isetan-mitsukoshi-holdings-ltd" target="_blank" data-smartkarma-citation="entities:18871:1" rel="noopener">Isetan Mitsukoshi Holdings Ltd (3099 JP)</a> and <a href="https://www.smartkarma.com/entities/mitsui-mining-smelting-co" target="_blank" data-smartkarma-citation="entities:15998:1" rel="noopener">Mitsui Mining &amp; Smelting Co (5706 JP)</a>. Shorts increased in the Industrials and Financials sectors, and decreased in the Consumer Discretionary sector.</p></div><div>
<p>Short selling finally resumed in Korea this week. Shorts increased on <a href="https://www.smartkarma.com/entities/celltrion-inc" target="_blank" data-smartkarma-citation="entities:991:1" rel="noopener">Celltrion Inc (068270 KS)</a>, <a href="https://www.smartkarma.com/entities/lg-display-co-ltd" target="_blank" data-smartkarma-citation="entities:7145:1" rel="noopener">LG Display (034220 KS)</a>, <a href="https://www.smartkarma.com/entities/sk-hynix-inc" target="_blank" data-smartkarma-citation="entities:16955:1" rel="noopener">SK Hynix (000660 KS)</a>, <a href="https://www.smartkarma.com/entities/netmarble-corporation" target="_blank" data-smartkarma-citation="entities:22839:1" rel="noopener">Netmarble Corporation (251270 KS)</a> and <a href="https://www.smartkarma.com/entities/naver-corp" target="_blank" data-smartkarma-citation="entities:16029:1" rel="noopener">Naver Corp (035420 KS)</a>. The largest percentage increase in shorts was seen on <a href="https://www.smartkarma.com/entities/hyundai-rotem-company" target="_blank" data-smartkarma-citation="entities:1554:1" rel="noopener">Hyundai Rotem Company (064350 KS)</a>, <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>, <a href="https://www.smartkarma.com/entities/daewoo-shipbuilding-marine-engineering" target="_blank" data-smartkarma-citation="entities:12531:1" rel="noopener">Daewoo Shipbuilding &amp; Marine Engineering (042660 KS)</a> and <a href="https://www.smartkarma.com/entities/e-mart-inc" target="_blank" data-smartkarma-citation="entities:6993:1" rel="noopener">E Mart Inc (139480 KS)</a>.</p>
<p>In Taiwan, shorts increased on <a href="https://www.smartkarma.com/entities/novatek-microelectronics-corp" target="_blank" data-smartkarma-citation="entities:10904:1" rel="noopener">Novatek Microelectronics Corp (3034 TT)</a>, <a href="https://www.smartkarma.com/entities/yang-ming-marine-transport" target="_blank" data-smartkarma-citation="entities:8502:1" rel="noopener">Yang Ming Marine Transport (2609 TT)</a>, <a href="https://www.smartkarma.com/entities/taiwan-cement" target="_blank" data-smartkarma-citation="entities:19736:1" rel="noopener">Taiwan Cement (1101 TT)</a>, <a href="https://www.smartkarma.com/entities/au-optronics-corp" target="_blank" data-smartkarma-citation="entities:6704:1" rel="noopener">AU Optronics (2409 TT)</a> and <a href="https://www.smartkarma.com/entities/mediatek-inc" target="_blank" data-smartkarma-citation="entities:772:1" rel="noopener">Mediatek Inc (2454 TT)</a>, while shorts covered on <a href="https://www.smartkarma.com/entities/wisdom-marine-lines-co-ltd" target="_blank" data-smartkarma-citation="entities:10001:1" rel="noopener">Wisdom Marine Lines (2637 TT)</a>, <a href="https://www.smartkarma.com/entities/wiwynn-corp" target="_blank" data-smartkarma-citation="entities:27838:1" rel="noopener">Wiwynn Corp (6669 TT)</a>, <a href="https://www.smartkarma.com/entities/richwave-technology-corp" target="_blank" data-smartkarma-citation="entities:18629:1" rel="noopener">Richwave Technology (4968 TT)</a>, <a href="https://www.smartkarma.com/entities/hon-hai-precision-industry-co-ltd" target="_blank" data-smartkarma-citation="entities:745:1" rel="noopener">Hon Hai Precision Industry (2317 TT)</a> and <a href="https://www.smartkarma.com/entities/hannstar-display-corp" target="_blank" data-smartkarma-citation="entities:13922:1" rel="noopener">Hannstar Display (6116 TT)</a>. </p>
</div>

The Asia Short Interest weekly looks at moves in market wide short interest and highlights movements in stock specific short interest across Hong Kong, Japan, Korea and Taiwan using the last available data published by the relevant authorities.Hong Kong saw shorts rise on Alibaba Group (9988 HK), BYD (1211 HK), AIA Group Ltd (1299 HK), Xiaomi Corp (1810 HK) and BYD Electronics (285 HK) while there was short covering on Ping An Insurance (H) (2318 HK), Country Garden Services Holdings (6098 HK), Meituan (3690 HK), Postal Savings Bank of China (1658 HK) and Citic Securities (H) (6030 HK). Shorts increased in the Consumer Discretionary, Information Technology, Health Care and Communication Services sectors, and decreased in the Financials and Industrials sectors.In Japan, stocks that saw the most shorts were Toshiba Corp (6502 JP), Cosmos Pharmaceutical (3349 JP), Rakus Co Ltd (3923 JP), Daito Trust Construct (1878 JP) and Aeon Financial (8570 JP) while shorts decreased on Ryohin Keikaku (7453 JP), Aeon Co Ltd (8267 JP), Lasertec Corp (6920 JP), Isetan Mitsukoshi Holdings Ltd (3099 JP) and Mitsui Mining &amp; Smelting Co (5706 JP). Shorts increased in the Industrials and Financials sectors, and decreased in the Consumer Discretionary sector.
Short selling finally resumed in Korea this week. Shorts increased on Celltrion Inc (068270 KS), LG Display (034220 KS), SK Hynix (000660 KS), Netmarble Corporation (251270 KS) and Naver Corp (035420 KS). The largest percentage increase in shorts was seen on Hyundai Rotem Company (064350 KS), Sk Chemicals Co Ltd/New (285130 KS), Daewoo Shipbuilding &amp; Marine Engineering (042660 KS) and E Mart Inc (139480 KS).
In Taiwan, shorts increased on Novatek Microelectronics Corp (3034 TT), Yang Ming Marine Transport (2609 TT), Taiwan Cement (1101 TT), AU Optronics (2409 TT) and Mediatek Inc (2454 TT), while shorts covered on Wisdom Marine Lines (2637 TT), Wiwynn Corp (6669 TT), Richwave Technology (4968 TT), Hon Hai Precision Industry (2317 TT) and Hannstar Display (6116 TT). 


Asia Shorts: BYD, Ping An, Toshiba, Rakus, Aeon, Celltrion, LG Display, SK Chem, Novatek, Yang Ming

South Korea

Hanwha Ocean Co., Ltd. operates as a shipbuilding and offshore company. The Company provides floating structure construction, steel wire drying, commercial vessels, specialty vessels, gas carrier, tanker, containership, ro ro, bulk carrier, submarine, warship, auxiliaries, cruise ships, and ferries manufacturing services. Hanwha Ocean also offers onshore plants services.

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

Hanwha Ocean (042660 KS)

Hyundai Heavy Industries IPO Valuation Analysis

Our base case valuation of Hyundai Heavy Industries is 66,573 won per share, which is 11% higher than the high end of the IPO price range of 60,000...

Douglas Kim

Hyundai Heavy Industries IPO: Offering Details & Valuation Issues

This post details Hyundai Heavy Industries' IPO prospectus and discusses valuation issues and short-term overhang risks.

Sanghyun Park

KOSE (Long) Vs. HHI Holdings (Short) Pair Trade on Hyundai Oilbank IPO

Hyundai Oilbank has started the IPO process, likely acting as a discount factor on HHIH's share price. So, from a swing trade perspective, Long...

Sanghyun Park

Korea Sector Long/Short Pairs Trade Ideas

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

Sanghyun Park

Asia Shorts: BYD, Ping An, Toshiba, Rakus, Aeon, Celltrion, LG Display, SK Chem, Novatek, Yang Ming

The Insight looks at large short interest movements across HK, Japan, Korea and Taiwan stocks and highlights large increases/decreases in shorts to...

Brian Freitas

Price Gauge

52-week Range

Market Cap (USDm)

P/E

Dividend (Yield)