Asia Pac IPO & Placement Research, China biotech, Aequitas Research

Ke Yan, CFA, FRM

Asia Pac IPO & Placement Research, China biotech

IPOs and Placements coverage across Asia Pacific

Aequitas Research

We cover all listing across the Asia Pacific along with follow-up placements. As of Dec 2020, our team had covered 539 IPOs with a hit rate of 73.5% and 685 placements with a hit rate of 66.8%.

We combine fundamental bottom-up views with our proprietary quantitative framework to provide a holistic coverage across new listings and placements. Our coverage includes pre-IPO notes before the deal is launched, follow-up analysis once the deal is live and post-listing trading analysis as well.

Quantitative Analysis

<ul>
<li>We analyse the changes of A/H premium on 136 stocks over the last week.</li>
<li>Information technology and health care led the increases of A/H premium while consumer staple led the decreases of A/H premium. </li>
<li>We highlight A/H premium increases for Flat Glass, Cansino, and China Eastern Air. </li>
</ul>


We analyse the changes of A/H premium on 136 stocks over the last week.
Information technology and health care led the increases of A/H premium while consumer staple led the decreases of A/H premium. 
We highlight A/H premium increases for Flat Glass, Cansino, and China Eastern Air. 


A/H Premium Weekly: Flat Glass, Cansino, China Eastern Air

Global Special Situations & Strategy, SR Services Ltd

David Lepper

Global Special Situations & Strategy

SR Services Ltd

SR Services provides Strategic Knowledge and Solutions services for Family Offices and Corporate Business. 

We deliver this via advisory services, strategic planning, opportunity analysis/sourcing, as well as solution implementation. 

Whilst, we create intellectual discipline and operational leverage for your projects or daily activities, our ultimate objective is to empower whilst enhancing your decision making. 

Strategic Knowledge and Solutions

Cross Asset Strategy

<h2><strong>Eight new names, SoftBank remains for the 3rd quarter running</strong></h2>
<ul>
<li>
<strong>Our</strong><strong>Q2-2021 All Cap High-Risk screen of stocks produced a market cap-weighted average price decline of 2%</strong>. In comparison, the MSCI Asia Pacific Index posted a decline of 1.7% over the same period. The stock quality of our Q2 2021 decreased 2.4 points or 3.8% over the period. Within the mix of 34 stocks in our Q2 2021 (May) list 19 posted negative performance, with an average decline of 14.1%.</li>
<li>
<strong>At a static number of 34</strong><strong> stocks our Q3 2021 screen, delivers an interesting composition this quarter, </strong>with eight (8) new names and strong representation from Hong Kong in terms of geography and Industrials and Basic Materials from a sector perspective. This suggests that the “reopening of the economy” trade may have run its course for now.</li>
<li><strong>Our Q3 2021 screen shows a further reduction in average stock rank (a reading on relative quality amongst the broad market peers with 100 being the highest) to 61 from 65.18 in Q2 2021.</strong></li>
<li>
<strong>Stock specific focus:</strong> We discuss why SoftBank stands out as a stock that presents with additional risk. We also discuss the fact that whilst there is a high representation of Industrials in the list, within this list, there are several names that may warrant not being too bearish towards.</li>
</ul>

Eight new names, SoftBank remains for the 3rd quarter running


OurQ2-2021 All Cap High-Risk screen of stocks produced a market cap-weighted average price decline of 2%. In comparison, the MSCI Asia Pacific Index posted a decline of 1.7% over the same period. The stock quality of our Q2 2021 decreased 2.4 points or 3.8% over the period. Within the mix of 34 stocks in our Q2 2021 (May) list 19 posted negative performance, with an average decline of 14.1%.

At a static number of 34 stocks our Q3 2021 screen, delivers an interesting composition this quarter, with eight (8) new names and strong representation from Hong Kong in terms of geography and Industrials and Basic Materials from a sector perspective. This suggests that the “reopening of the economy” trade may have run its course for now.
Our Q3 2021 screen shows a further reduction in average stock rank (a reading on relative quality amongst the broad market peers with 100 being the highest) to 61 from 65.18 in Q2 2021.

Stock specific focus: We discuss why SoftBank stands out as a stock that presents with additional risk. We also discuss the fact that whilst there is a high representation of Industrials in the list, within this list, there are several names that may warrant not being too bearish towards.


Screening the Silk Road: Q3 2021 High-Risk Names to Avoid

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

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

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

Brian Freitas

Pan-Asia Index Rebalances/ Events/ Delta One

Event-Driven

<p>On 3 June, President Biden amended Executive Order 13959 with respect to the threat posed by the military-industrial complex of the People’s Republic of China, and expanded the list of companies to include entities that operate in the defense and related materiel sector or the surveillance technology sector in China, or own, or are owned, or are controlled by persons that operate in the above sectors.</p><p>There were a few entities that appeared in Trump's list that were dropped while there were new entities that were added to the current list.</p><p>Some major changes were that the name of the list was changed from Communist Chinese Military Companies (CCMC) to Chinese Military-Industrial Complex Companies (CMIC), the list would be maintained by the Treasury Department as opposed to the Defense Department, and restrictions on subsidiaries would apply only if the subsidiary was explicitly named in the list.</p><p>It has been reported in the media, quoting senior officials, that the list will be updated on a rolling basis. As we were typing out the Insight, Reuters published an article that says <a href="https://www.reuters.com/article/usa-biden-china-investment/analysis-more-chinese-companies-could-fall-under-bidens-broader-investment-ban-idUSL2N2NM13H" target="_blank" rel="noopener">more Chinese companies could be added to the investment ban</a>.</p><p>In this Insight, we try to identify some of the subsidiaries of companies that could be added to the CMIC list where the parent entity is already included on the list.</p>

On 3 June, President Biden amended Executive Order 13959 with respect to the threat posed by the military-industrial complex of the People’s Republic of China, and expanded the list of companies to include entities that operate in the defense and related materiel sector or the surveillance technology sector in China, or own, or are owned, or are controlled by persons that operate in the above sectors.There were a few entities that appeared in Trump's list that were dropped while there were new entities that were added to the current list.Some major changes were that the name of the list was changed from Communist Chinese Military Companies (CCMC) to Chinese Military-Industrial Complex Companies (CMIC), the list would be maintained by the Treasury Department as opposed to the Defense Department, and restrictions on subsidiaries would apply only if the subsidiary was explicitly named in the list.It has been reported in the media, quoting senior officials, that the list will be updated on a rolling basis. As we were typing out the Insight, Reuters published an article that says more Chinese companies could be added to the investment ban.In this Insight, we try to identify some of the subsidiaries of companies that could be added to the CMIC list where the parent entity is already included on the list.

POTUS Executive Order: Potential Additions to the CMIC List

Pan-Asia Catalysts/Events, Quiddity Advisors

Travis Lundy

Pan-Asia Catalysts/Events

Quiddity Advisors

<div>
<p>Spreads narrowed sharply this week with 68 of 100 liquid spreads narrowing, 32 widening. The big winner on the week was Consumer narrowing 2.46% as every spread in the space narrowed despite five of six stocks falling in Hs (i.e. As fell even more). </p>
<p>The <a href="https://www.smartkarma.com/entities/shandong-chenming-paper-h" target="_blank" data-smartkarma-citation="entities:13775:1" rel="noopener">Shandong Chenming Paper H (1812 HK)</a> situation intruded on the H/S spreads this week as the decision to convert the B shares to Hs (described by <a href="https://www.smartkarma.com/profiles/david-blennerhassett" target="_blank" data-smartkarma-citation="accounts:840" rel="noopener">David Blennerhassett</a> in <a href="https://www.smartkarma.com/insights/shandong-chenming-paper-1812-hk-the-h-b-convergence-trade" target="_blank" data-smartkarma-citation="insights:49247" rel="noopener">Shandong Chenming Paper (1812 HK): The H/B Convergence Trade</a> mid-week) caused ructions in the H/A spread.</p>
<p>But overall, it was a decent week. Only two sectors saw spreads widen (Energy and Utilities), both accompanied by net southbound selling in the week to Wednesday (the last day to which we have granular name-by-name data).</p>
<table class="table table-striped"><tbody>
<tr>
<td><p>Sector</p></td>
<td style="text-align: right;"><p>Last Week</p></td>
<td style="text-align: right;"><p>Previous Week</p></td>
<td style="text-align: right;"><p>3wks Ago</p></td>
<td style="text-align: right;"><p>4wks Ago</p></td>
</tr>
<tr>
<td><p>Consumer</p></td>
<td style="text-align: right;"><p>+ 2.46%</p></td>
<td style="text-align: right;"><p>+ 0.74%</p></td>
<td style="text-align: right;"><p>-  0.14%</p></td>
<td style="text-align: right;"><p>-  1.65%</p></td>
</tr>
<tr>
<td><p>Energy</p></td>
<td style="text-align: right;"><p>-  0.39%</p></td>
<td style="text-align: right;"><p>-  0.56%</p></td>
<td style="text-align: right;"><p>-  0.36%</p></td>
<td style="text-align: right;"><p>+ 0.67%</p></td>
</tr>
<tr>
<td><p>Financials &amp; Real Estate</p></td>
<td style="text-align: right;"><p>+ 0.92%</p></td>
<td style="text-align: right;"><p>+ 0.53%</p></td>
<td style="text-align: right;"><p>+ 1.19%</p></td>
<td style="text-align: right;"><p>-  1.12%</p></td>
</tr>
<tr>
<td><p>Health Care &amp; Info Tech</p></td>
<td style="text-align: right;"><p>+ 1.50%</p></td>
<td style="text-align: right;"><p>+ 2.29%</p></td>
<td style="text-align: right;"><p>-  0.54%</p></td>
<td style="text-align: right;"><p>-  2.86%</p></td>
</tr>
<tr>
<td><p>Industrials</p></td>
<td style="text-align: right;"><p>+ 1.19%</p></td>
<td style="text-align: right;"><p>+ 0.15%</p></td>
<td style="text-align: right;"><p>-  0.42%</p></td>
<td style="text-align: right;"><p>-  1.20%</p></td>
</tr>
<tr>
<td><p>Materials</p></td>
<td style="text-align: right;"><p>+ 1.42%</p></td>
<td style="text-align: right;"><p>+ 0.61%</p></td>
<td style="text-align: right;"><p>-  0.33%</p></td>
<td style="text-align: right;"><p>-  0.84%</p></td>
</tr>
<tr>
<td><p>Utilities</p></td>
<td style="text-align: right;"><p>-  0.91%</p></td>
<td style="text-align: right;"><p>-  0.87%</p></td>
<td style="text-align: right;"><p>-  1.25%</p></td>
<td style="text-align: right;"><p>-  0.14%</p></td>
</tr>
<tr>
<td><p><strong>Sector Average</strong></p></td>
<td style="text-align: right;"><p><strong>+ 0.88%</strong></p></td>
<td style="text-align: right;"><p><strong>+ 0.41%</strong></p></td>
<td style="text-align: right;"><p><strong>-  0.26%</strong></p></td>
<td style="text-align: right;"><p><strong>-  1.02%</strong></p></td>
</tr>
<tr>
<td><p><strong>All Market Average</strong></p></td>
<td style="text-align: right;"><p><strong>+ 0.96%</strong></p></td>
<td style="text-align: right;"><p><strong>+ 0.59%</strong></p></td>
<td style="text-align: right;"><p><strong>+ 0.05%</strong></p></td>
<td style="text-align: right;"><p><strong>-  1.22%</strong></p></td>
</tr>
</tbody></table>
</div><div><div></div></div><p><span>10-day cross-market spread volatility continues to fall. This past week ended at 20% down from 23% in the ten days to 12 March. This is down off highs in the low 30s a couple weeks ago, but the long-term average is still under 20%.</span></p><section class="figure"><figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/195/770/original/Screenshot+2021-03-20+at+8.25.25+PM.png?1616243179" class="editor-image img-responsive" data-smartkarma-image-id="195770"></figure></section><div><div>
<hr>
<h3>The H/A Spread Market</h3>
</div></div><div><p>The past week has seen H-shares come off, but spreads narrow as Hs outperformed their As pretty dramatically. Interestingly, the narrower the spread, to start with, the better the performance on the week. Ideally, spread players want to see that red line sloping downward from upper left to lower right because even a big spread movement for a 70% discount stock means very large performance is needed to catch up. </p></div><div><section class="figure"><figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/195/724/original/Screenshot+2021-03-20+at+5.41.02+PM.png?1616233277" class="editor-image img-responsive" data-smartkarma-image-id="195724"></figure></section></div><div>
<p>The average discount has started tightening again and we are at 38% which is where the spread rebounded to un Q2 of 2020 after widening in the Covid-crash. </p>
<p>In 2019, spreads spent a fairly long time in the 34-36% average. </p>
</div><section><section class="figure"><figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/195/728/original/Screenshot+2021-03-20+at+5.44.03+PM.png?1616233457" class="editor-image img-responsive" data-smartkarma-image-id="195728"></figure></section></section><hr><div><div><h2>Last Week's Recommendations</h2></div></div><div><ul style="list-style-type: disc;">
<li>There were 81 recommendations last week.</li>
<li>Positive alpha returned. There were 49 long spreads and 32 short spreads which gained on average 27bp against the delta-neutral gain of 0.20%, indicating spread alpha of 7bp on the week. This is back to a good trend after a horrible week the week before.</li>
<li>There are <em>nearly</em> 80 recommendations this week (turnover remains low).  </li>
</ul></div><hr><div><div><h2>Consumer Sector</h2></div></div><div>
<p>The first sector discussed is Consumer. It was a complex week there. </p>
<ul>
<li>Five out of six H-shares were down on the week. <a href="https://www.smartkarma.com/entities/tsingtao-brewery-co-ltd-h" target="_blank" data-smartkarma-citation="entities:1296:1" rel="noopener">Tsingtao Brewery Co Ltd H (168 HK)</a> was up 10.6%.</li>
<li>All six spreads narrowed with the average H-share outperformance of A at 2.46%. It was a strong week for every spread in the group. </li>
<li>Normally when this happens, there is significant net selling by Southbound. This week saw net buying of HK$270mm to Wednesday, halting four straight weeks prior of net selling. </li>
</ul>
</div><div></div><div><div><div class="content-highlight">
<p>Last week, I recommended keeping the shorts (<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> and <a href="https://www.smartkarma.com/entities/fuyao-glass-industry-group-co-ltd" target="_blank" data-smartkarma-citation="entities:330:1" rel="noopener">Fuyao Glass Industry Group (3606 HK)</a>) and the long in <a href="https://www.smartkarma.com/entities/guangzhou-automobile-group-co-ltd" target="_blank" data-smartkarma-citation="entities:11082:1" rel="noopener">Guangzhou Automobile Group (2238 HK)</a> and adding a long on <a href="https://www.smartkarma.com/entities/hisense-home-appliances-group-co-ltd-h" target="_blank" data-smartkarma-citation="entities:20107:1" rel="noopener">Hisense Home Appliances Group Co., Ltd. H (921 HK)</a> H vs A.</p>
<p>Those trades lost an average of 0.51% last week in spread terms after losing 29bp the week before, and 16bp the week before that. Despite three losing weeks in a row, positioning in the sector is still up 262bp in four weeks. </p>
<p>This week's trade recommendations are below the fold.</p>
</div></div></div><div><section class="figure"><figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/195/729/original/Screenshot+2021-03-20+at+5.44.45+PM.png?1616233498" class="editor-image img-responsive" data-smartkarma-image-id="195729"></figure></section></div><div><section>For this week's recommendations on Consumer, and discussion of the Energy, Financials &amp; Real Estate, Health Care, Tech, Industrials, Materials, and Utilities sectors, and all trade recommendations, please read on.</section></div>


Spreads narrowed sharply this week with 68 of 100 liquid spreads narrowing, 32 widening. The big winner on the week was Consumer narrowing 2.46% as every spread in the space narrowed despite five of six stocks falling in Hs (i.e. As fell even more). 
The Shandong Chenming Paper H (1812 HK) situation intruded on the H/S spreads this week as the decision to convert the B shares to Hs (described by David Blennerhassett in Shandong Chenming Paper (1812 HK): The H/B Convergence Trade mid-week) caused ructions in the H/A spread.
But overall, it was a decent week. Only two sectors saw spreads widen (Energy and Utilities), both accompanied by net southbound selling in the week to Wednesday (the last day to which we have granular name-by-name data).


Sector
Last Week
Previous Week
3wks Ago
4wks Ago


Consumer
+ 2.46%
+ 0.74%
-  0.14%
-  1.65%


Energy
-  0.39%
-  0.56%
-  0.36%
+ 0.67%


Financials &amp; Real Estate
+ 0.92%
+ 0.53%
+ 1.19%
-  1.12%


Health Care &amp; Info Tech
+ 1.50%
+ 2.29%
-  0.54%
-  2.86%


Industrials
+ 1.19%
+ 0.15%
-  0.42%
-  1.20%


Materials
+ 1.42%
+ 0.61%
-  0.33%
-  0.84%


Utilities
-  0.91%
-  0.87%
-  1.25%
-  0.14%


Sector Average
+ 0.88%
+ 0.41%
-  0.26%
-  1.02%


All Market Average
+ 0.96%
+ 0.59%
+ 0.05%
-  1.22%


10-day cross-market spread volatility continues to fall. This past week ended at 20% down from 23% in the ten days to 12 March. This is down off highs in the low 30s a couple weeks ago, but the long-term average is still under 20%.

The H/A Spread Market
The past week has seen H-shares come off, but spreads narrow as Hs outperformed their As pretty dramatically. Interestingly, the narrower the spread, to start with, the better the performance on the week. Ideally, spread players want to see that red line sloping downward from upper left to lower right because even a big spread movement for a 70% discount stock means very large performance is needed to catch up. 
The average discount has started tightening again and we are at 38% which is where the spread rebounded to un Q2 of 2020 after widening in the Covid-crash. 
In 2019, spreads spent a fairly long time in the 34-36% average. 
Last Week's Recommendations
There were 81 recommendations last week.
Positive alpha returned. There were 49 long spreads and 32 short spreads which gained on average 27bp against the delta-neutral gain of 0.20%, indicating spread alpha of 7bp on the week. This is back to a good trend after a horrible week the week before.
There are nearly 80 recommendations this week (turnover remains low).  
Consumer Sector
The first sector discussed is Consumer. It was a complex week there. 

Five out of six H-shares were down on the week. Tsingtao Brewery Co Ltd H (168 HK) was up 10.6%.
All six spreads narrowed with the average H-share outperformance of A at 2.46%. It was a strong week for every spread in the group. 
Normally when this happens, there is significant net selling by Southbound. This week saw net buying of HK$270mm to Wednesday, halting four straight weeks prior of net selling. 


Last week, I recommended keeping the shorts (BYD (1211 HK) and Fuyao Glass Industry Group (3606 HK)) and the long in Guangzhou Automobile Group (2238 HK) and adding a long on Hisense Home Appliances Group Co., Ltd. H (921 HK) H vs A.
Those trades lost an average of 0.51% last week in spread terms after losing 29bp the week before, and 16bp the week before that. Despite three losing weeks in a row, positioning in the sector is still up 262bp in four weeks. 
This week's trade recommendations are below the fold.
For this week's recommendations on Consumer, and discussion of the Energy, Financials &amp; Real Estate, Health Care, Tech, Industrials, Materials, and Utilities sectors, and all trade recommendations, please read on.

Quiddity Weekly H/A: Consumer Strong, Spreads Narrowing Masks A-Share Weakness

China

CSSC Offshore and Marine Engineering Group Company Limited manufactures and markets ships, containers, large steel structures, fiberglass boats, high-speed ships, and land use machines. The Company also offers ship polishing, repair and rental services.

Cssc Offshore & Marine Engg Group (317 HK)

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Cssc Offshore & Marine Engg Group (317 HK)

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Price Gauge

52-week Range

Market Cap (USDm)

P/E

Dividend (Yield)

A/H Premium Weekly: Flat Glass, Cansino, China Eastern Air

We highlight information technology and health care led the increases of A/H premium and three stocks: Flat Glass, Cansino, and China Eastern Air.

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Screening the Silk Road Q3 2021: Asia Pac High-risk names to avoid screening is out now. Eight new names, despite being down 23%, SoftBank remains...

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There could be more entities added to Biden's Executive Order if US-China relations continue to worsen. Defense & surveillance stocks, plus subs of...

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Travis Lundy