Korea/Asia, Events, IPOs, Douglas Research Advisory

Douglas Kim

Korea/Asia, Events, IPOs

Event-Driven

<ul>
<li>In this insight, we discuss a list of 60 stocks in Korea where NPS recently added or reduced 1% or more stake (27 adds and 33 reduce). </li>
<li>Among the stocks NPS increased its stake, many of them are clear beneficiaries of the end of zero COVID policies in China including Hotel Shilla, Amorepacific Corp, and GKL. </li>
<li>Among the top market cap stocks where the NPS decreased its stake by 1% or more, they include Lg Innotek, Hyundai E&amp;C, Hyundai Mipo, and Posco International. </li>
</ul>


In this insight, we discuss a list of 60 stocks in Korea where NPS recently added or reduced 1% or more stake (27 adds and 33 reduce). 
Among the stocks NPS increased its stake, many of them are clear beneficiaries of the end of zero COVID policies in China including Hotel Shilla, Amorepacific Corp, and GKL. 
Among the top market cap stocks where the NPS decreased its stake by 1% or more, they include Lg Innotek, Hyundai E&amp;C, Hyundai Mipo, and Posco International. 


APAC IPOs & Placements, Aequitas Research

Clarence Chu

APAC IPOs & Placements

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.

Equity Capital Markets

<ul>
<li>
<a href="https://www.smartkarma.com/entities/one-store-4672b817-5076-408e-bcad-1a3e48b03c2a" target="_blank" data-smartkarma-citation="entities:35800:1" rel="noopener">ONE Store (ONE KS)</a> is looking to raise up to US$228m in its upcoming Korean IPO.</li>
<li>One Store is a mobile app market platform, formed by a cooperation between South Korea’s three telecom carriers, together with Naver Corp, an internet firm in South Korea.</li>
<li>By cutting its commission take rate to attract developers, the firm has managed to turnaround its transaction volume in FY18, leading it to record consecutive quarters of growth.</li>
</ul>



ONE Store (ONE KS) is looking to raise up to US$228m in its upcoming Korean IPO.
One Store is a mobile app market platform, formed by a cooperation between South Korea’s three telecom carriers, together with Naver Corp, an internet firm in South Korea.
By cutting its commission take rate to attract developers, the firm has managed to turnaround its transaction volume in FY18, leading it to record consecutive quarters of growth.


One Store Pre-IPO - Track Record Has Been Strong, Questions Surround Its Choice of Peers

Korea / Special Situations, Clepsydra Capital

Sanghyun Park

Korea / Special Situations

Korea / Special Sits, Pairs, Index Rebalancing

Clepsydra Capital

Investigate special situations, pairs, and index rebalancing trades in Korea.

<p>Starting this year, KRX will rebalance the KOSPI size index series (LargeCap, MidCap, and SmallCap) twice a year. Until last year, it was done once a year in March (the option expiration date). <span>However, from this year, the rebalancing is done twice a year, in March and September.</span></p><div class="content-highlight"><ul>
<li><strong>The screening method is simple and clear. It is based on the 3-month average daily market cap.</strong></li>
<li><strong>LargeCap includes 1st to 100th, and MidCap takes 101st to 300th.</strong></li>
<li><strong>The screening base date is the last trading day of February and August. So, this September rebalancing review period is June 1 to August 31.</strong></li>
</ul></div><section class="figure"><figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/227/642/original/Screen+Shot+2021-09-02+at+10.06.47+PM.png?1630634901" class="editor-image img-responsive" data-smartkarma-image-id="227642"></figure></section>

Starting this year, KRX will rebalance the KOSPI size index series (LargeCap, MidCap, and SmallCap) twice a year. Until last year, it was done once a year in March (the option expiration date). However, from this year, the rebalancing is done twice a year, in March and September.
The screening method is simple and clear. It is based on the 3-month average daily market cap.
LargeCap includes 1st to 100th, and MidCap takes 101st to 300th.
The screening base date is the last trading day of February and August. So, this September rebalancing review period is June 1 to August 31.


KOSPI LargeCap & MidCap Rebalancing Preview on September 9

Fintech & EM-focused Analyst, KT Capital Group

Alec Tseung

Fintech & EM-focused Analyst

Thematic (Sector/Industry)

<p>This Original aims to identify the key investment opportunities among the listed brokers in the three major East Asian countries - China, Japan, and Korea. </p><p>By looking at the development of the brokerage sectors in these three countries, we observe a general trend where upstart online brokers first compete against the more established brokers based on their cost and technological advantages. This then pushes the more established brokers to either focus on more lucrative wholesale businesses or adopt and invest in tech initiatives in order to stay competitive in the retail market.</p><p>After further establishing themselves in the retail market, these upstart online brokers then also diversify and expand into the more lucrative wealth/asset management or even wholesale businesses.  By gauging at which phase the broker is in this cycle, investors can have a good understanding of its future outlook.</p><p>In our opinion, Korean brokers currently offer the best value, while the Chinese pure-play online brokers offer the highest growth potential. As such, our pecking order, in terms of investment attractiveness, is <a href="https://www.smartkarma.com/entities/kiwoom-securities-co-ltd" target="_blank" data-smartkarma-citation="entities:20418:1" rel="noopener">Kiwoom Securities (039490 KS)</a>, <a href="https://www.smartkarma.com/entities/east-money-information-co-a" target="_blank" data-smartkarma-citation="entities:8075:1" rel="noopener">East Money Information Co A (300059 CH)</a>, <a href="https://www.smartkarma.com/entities/futu-holdings-ltd" target="_blank" data-smartkarma-citation="entities:27858:1" rel="noopener">Futu Holdings Ltd (FUTU US)</a>, <a href="https://www.smartkarma.com/entities/monex-group-inc" target="_blank" data-smartkarma-citation="entities:14211:1" rel="noopener">Monex Group Inc (8698 JP)</a> / <a href="https://www.smartkarma.com/entities/huatai-securities-co-ltd-h" target="_blank" data-smartkarma-citation="entities:449:1" rel="noopener">Huatai Securities Co Ltd (H) (6886 HK)</a>.  </p><h2>What is Original?</h2><p>In this Original, we look into the competitive landscape of the brokerage sectors in China, Japan, and Korea. 55 listed brokers from these three countries are included in this Original as the company universe for regression analysis. </p><p>Among them, a total of 8 brokers are chosen, with their company profiles separately presented, to further showcase and contrast the impact of competition and technological disruption. Based on this, a pecking order is then developed, both on a country and a company basis.</p>

This Original aims to identify the key investment opportunities among the listed brokers in the three major East Asian countries - China, Japan, and Korea. By looking at the development of the brokerage sectors in these three countries, we observe a general trend where upstart online brokers first compete against the more established brokers based on their cost and technological advantages. This then pushes the more established brokers to either focus on more lucrative wholesale businesses or adopt and invest in tech initiatives in order to stay competitive in the retail market.After further establishing themselves in the retail market, these upstart online brokers then also diversify and expand into the more lucrative wealth/asset management or even wholesale businesses.  By gauging at which phase the broker is in this cycle, investors can have a good understanding of its future outlook.In our opinion, Korean brokers currently offer the best value, while the Chinese pure-play online brokers offer the highest growth potential. As such, our pecking order, in terms of investment attractiveness, is Kiwoom Securities (039490 KS), East Money Information Co A (300059 CH), Futu Holdings Ltd (FUTU US), Monex Group Inc (8698 JP) / Huatai Securities Co Ltd (H) (6886 HK).  What is Original?In this Original, we look into the competitive landscape of the brokerage sectors in China, Japan, and Korea. 55 listed brokers from these three countries are included in this Original as the company universe for regression analysis. Among them, a total of 8 brokers are chosen, with their company profiles separately presented, to further showcase and contrast the impact of competition and technological disruption. Based on this, a pecking order is then developed, both on a country and a company basis.

Asian Brokers: A Competition Between Value and Growth

Lotte Tour Development Co, Ltd. / Event-Driven

<p>Those with a high level of unconverted CB balance would be among the early target groups by short sellers from May 3 in Korea.</p><p>Among the Short 350 (KOSPI 200 and KOSDAQ 150), five names pop up as a heavy CB carrier with the conversion in progress.</p><table class="table table-striped">
<colgroup>
<col width="100">
<col width="100">
<col width="100">
<col width="100">
<col width="100">
</colgroup>
<tbody>
<tr>
<td style="width: 210px;" data-sheets-value='{"1":2,"2":"Name"}'>Name</td>
<td style="text-align: right; width: 95px;" data-sheets-value='{"1":2,"2":"Ticker"}'>Ticker</td>
<td style="text-align: right; width: 126.667px;" data-sheets-value='{"1":2,"2":"CB balance (₩B)"}'>CB balance at FY2020 yearend (₩B)</td>
<td style="text-align: right; width: 113.333px;" data-sheets-value='{"1":2,"2":"Time to expiration (days)"}'>Time to expiration (days)</td>
<td style="text-align: right; width: 95.8333px;" data-sheets-value='{"1":2,"2":"Conversion"}'>Conversion</td>
</tr>
<tr>
<td style="width: 210px;" data-sheets-value='{"1":2,"2":"LG Display Co Ltd"}'>LG Display</td>
<td style="text-align: right; width: 95px;" data-sheets-value='{"1":2,"2":"034220"}'>034220</td>
<td style="text-align: right; width: 126.667px;" data-sheets-value='{"1":3,"3":813.4}' data-sheets-numberformat='{"1":2,"2":"#,##0.0","3":1}'>813.4</td>
<td style="text-align: right; width: 113.333px;" data-sheets-value='{"1":3,"3":1209}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>1,209</td>
<td style="text-align: right; width: 95.8333px;" data-sheets-value='{"1":3,"3":19845}' data-sheets-numberformat='{"1":4,"2":"[$₩]#,##0","3":1}'>₩19,845</td>
</tr>
<tr>
<td style="width: 210px;" data-sheets-value='{"1":2,"2":"Hwaseung Enterprise Co Ltd"}'>Hwaseung Enterprise</td>
<td style="text-align: right; width: 95px;" data-sheets-value='{"1":2,"2":"241590"}'>241590</td>
<td style="text-align: right; width: 126.667px;" data-sheets-value='{"1":3,"3":150}' data-sheets-numberformat='{"1":2,"2":"#,##0.0","3":1}'>150.0</td>
<td style="text-align: right; width: 113.333px;" data-sheets-value='{"1":3,"3":10529}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>10,529</td>
<td style="text-align: right; width: 95.8333px;" data-sheets-value='{"1":3,"3":17542}' data-sheets-numberformat='{"1":4,"2":"[$₩]#,##0","3":1}'>₩17,542</td>
</tr>
<tr>
<td style="width: 210px;" data-sheets-value='{"1":2,"2":"GS Engineering &amp; Construction Corp"}'>GS E&amp;C</td>
<td style="text-align: right; width: 95px;" data-sheets-value='{"1":2,"2":"006360"}'>006360</td>
<td style="text-align: right; width: 126.667px;" data-sheets-value='{"1":3,"3":77.8}' data-sheets-numberformat='{"1":2,"2":"#,##0.0","3":1}'>77.8</td>
<td style="text-align: right; width: 113.333px;" data-sheets-value='{"1":3,"3":84}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>84</td>
<td style="text-align: right; width: 95.8333px;" data-sheets-value='{"1":3,"3":30239}' data-sheets-numberformat='{"1":4,"2":"[$₩]#,##0","3":1}'>₩30,239</td>
</tr>
<tr>
<td style="width: 210px;" data-sheets-value='{"1":2,"2":"KIWOOM Securities Co., Ltd."}'>KIWOOM Securities</td>
<td style="text-align: right; width: 95px;" data-sheets-value='{"1":2,"2":"039490"}'>039490</td>
<td style="text-align: right; width: 126.667px;" data-sheets-value='{"1":3,"3":127.1}' data-sheets-numberformat='{"1":2,"2":"#,##0.0","3":1}'>127.1</td>
<td style="text-align: right; width: 113.333px;" data-sheets-value='{"1":3,"3":423}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>423</td>
<td style="text-align: right; width: 95.8333px;" data-sheets-value='{"1":3,"3":105247}' data-sheets-numberformat='{"1":4,"2":"[$₩]#,##0","3":1}'>₩105,247</td>
</tr>
<tr>
<td style="width: 210px;" data-sheets-value='{"1":2,"2":"Lotte Tour Development Co., Ltd."}'>Lotte Tour Dev</td>
<td style="text-align: right; width: 95px;" data-sheets-value='{"1":2,"2":"032350"}'>032350</td>
<td style="text-align: right; width: 126.667px;" data-sheets-value='{"1":3,"3":71.04}' data-sheets-numberformat='{"1":2,"2":"#,##0.0","3":1}'>71.0</td>
<td style="text-align: right; width: 113.333px;" data-sheets-value='{"1":3,"3":852}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>852</td>
<td style="text-align: right; width: 95.8333px;" data-sheets-value='{"1":3,"3":13850}' data-sheets-numberformat='{"1":4,"2":"[$₩]#,##0","3":1}'>₩13,850</td>
</tr>
<tr><td colspan="5" rowspan="1" style="width: 724.167px;" data-sheets-value='{"1":2,"2":"Source: DART"}'>Source: DART</td></tr>
</tbody>
</table><p>All of them enjoy a substantial gain in price, ranging from 2.90% to 52.12%. We should see a strong incentive in conversion, potentially resulting in an active shorting inflow.</p><p>CB balance (as of FY2020 yearend) * Delta (σ, 21 TD) should estimate potential shorting inflow, suggesting LG Display sitting at the top with ₩623.5B.</p><p>As a % of MC, Hwaseung Ent leads the pack at 13.15%.</p><table class="table table-striped">
<colgroup>
<col width="100">
<col width="100">
<col width="100">
<col width="100">
<col width="100">
<col width="100">
<col width="100">
</colgroup>
<tbody>
<tr>
<td style="width: 124.167px;" data-sheets-value='{"1":2,"2":"Name"}'>Name</td>
<td style="text-align: right; width: 75px;" data-sheets-value='{"1":2,"2":"Ticker"}'>Ticker</td>
<td style="text-align: right; width: 76.6667px;" data-sheets-value='{"1":2,"2":"Price"}'>Price</td>
<td style="text-align: right; width: 96.6667px;" data-sheets-value='{"1":2,"2":"% to conversion"}'>Price gain from the conversion</td>
<td style="text-align: right; width: 75px;" data-sheets-value='{"1":2,"2":"Delta"}'>Delta (σ, 21 TD)</td>
<td style="text-align: right; width: 75.8333px;" data-sheets-value='{"1":2,"2":"CB balance*Delta (₩B)"}'>CB balance * Delta (₩B)</td>
<td style="text-align: right; width: 74.1667px;" data-sheets-value='{"1":2,"2":"% of MC"}'>% of MC</td>
</tr>
<tr>
<td style="width: 124.167px;" data-sheets-value='{"1":2,"2":"LG Display Co Ltd"}' data-sheets-formula='=googlefinance(R[0]C[1], "name")'>LG Display</td>
<td style="text-align: right; width: 75px;" data-sheets-value='{"1":2,"2":"034220"}' data-sheets-formula='="034220"'>034220</td>
<td style="text-align: right; width: 76.6667px;" data-sheets-value='{"1":3,"3":24900}' data-sheets-numberformat='{"1":4,"2":"[$₩]#,##0","3":1}' data-sheets-formula='=googlefinance(R[0]C[-1], "price")'>₩24,900</td>
<td style="text-align: right; width: 96.6667px;" data-sheets-value='{"1":3,"3":0.254724111866969}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R[0]C[-1]-R[0]C[5])/R[0]C[5]">25.47%</td>
<td style="text-align: right; width: 75px;" data-sheets-value='{"1":3,"3":0.7665}' data-sheets-numberformat='{"1":2,"2":"#,##0.0000","3":1}'>0.7665</td>
<td style="text-align: right; width: 75.8333px;" data-sheets-value='{"1":3,"3":623.4711}' data-sheets-numberformat='{"1":2,"2":"#,##0.0","3":1}' data-sheets-formula="=R[0]C[2]*R[0]C[-1]"><strong>623.5</strong></td>
<td style="text-align: right; width: 74.1667px;" data-sheets-value='{"1":3,"3":0.06997736544260075}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula='=R[0]C[-1]/(googlefinance(R[0]C[-5], "marketcap")/1000000000)'><strong>7.00%</strong></td>
</tr>
<tr>
<td style="width: 124.167px;" data-sheets-value='{"1":2,"2":"Hwaseung Enterprise Co Ltd"}' data-sheets-formula='=googlefinance(R[0]C[1], "name")'>Hwaseung Enterprise</td>
<td style="text-align: right; width: 75px;" data-sheets-value='{"1":2,"2":"241590"}' data-sheets-formula='="241590"'>241590</td>
<td style="text-align: right; width: 76.6667px;" data-sheets-value='{"1":3,"3":18000}' data-sheets-numberformat='{"1":4,"2":"[$₩]#,##0","3":1}' data-sheets-formula='=googlefinance(R[0]C[-1], "price")'>₩18,000</td>
<td style="text-align: right; width: 96.6667px;" data-sheets-value='{"1":3,"3":0.02610876752935811}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R[0]C[-1]-R[0]C[5])/R[0]C[5]">2.61%</td>
<td style="text-align: right; width: 75px;" data-sheets-value='{"1":3,"3":0.9556}' data-sheets-numberformat='{"1":2,"2":"#,##0.0000","3":1}'>0.9556</td>
<td style="text-align: right; width: 75.8333px;" data-sheets-value='{"1":3,"3":143.34}' data-sheets-numberformat='{"1":2,"2":"#,##0.0","3":1}' data-sheets-formula="=R[0]C[2]*R[0]C[-1]"><strong>143.3</strong></td>
<td style="text-align: right; width: 74.1667px;" data-sheets-value='{"1":3,"3":0.13152657984811297}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula='=R[0]C[-1]/(googlefinance(R[0]C[-5], "marketcap")/1000000000)'><strong>13.15%</strong></td>
</tr>
<tr>
<td style="width: 124.167px;" data-sheets-value='{"1":2,"2":"GS Engineering &amp; Construction Corp"}' data-sheets-formula='=googlefinance(R[0]C[1], "name")'>GS E&amp;C</td>
<td style="text-align: right; width: 75px;" data-sheets-value='{"1":2,"2":"006360"}' data-sheets-formula='="006360"'>006360</td>
<td style="text-align: right; width: 76.6667px;" data-sheets-value='{"1":3,"3":46000}' data-sheets-numberformat='{"1":4,"2":"[$₩]#,##0","3":1}' data-sheets-formula='=googlefinance(R[0]C[-1], "price")'>₩46,000</td>
<td style="text-align: right; width: 96.6667px;" data-sheets-value='{"1":3,"3":0.5212143258705645}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R[0]C[-1]-R[0]C[5])/R[0]C[5]">52.12%</td>
<td style="text-align: right; width: 75px;" data-sheets-value='{"1":3,"3":0.9874}' data-sheets-numberformat='{"1":2,"2":"#,##0.0000","3":1}'>0.9874</td>
<td style="text-align: right; width: 75.8333px;" data-sheets-value='{"1":3,"3":76.81972}' data-sheets-numberformat='{"1":2,"2":"#,##0.0","3":1}' data-sheets-formula="=R[0]C[2]*R[0]C[-1]"><strong>76.8</strong></td>
<td style="text-align: right; width: 74.1667px;" data-sheets-value='{"1":3,"3":0.01953417848061996}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula='=R[0]C[-1]/(googlefinance(R[0]C[-5], "marketcap")/1000000000)'><strong>1.95%</strong></td>
</tr>
<tr>
<td style="width: 124.167px;" data-sheets-value='{"1":2,"2":"KIWOOM Securities Co., Ltd."}' data-sheets-formula='=googlefinance(R[0]C[1], "name")'>KIWOOM Securities</td>
<td style="text-align: right; width: 75px;" data-sheets-value='{"1":2,"2":"039490"}' data-sheets-formula='="039490"'>039490</td>
<td style="text-align: right; width: 76.6667px;" data-sheets-value='{"1":3,"3":135000}' data-sheets-numberformat='{"1":4,"2":"[$₩]#,##0","3":1}' data-sheets-formula='=googlefinance(R[0]C[-1], "price")'>₩135,000</td>
<td style="text-align: right; width: 96.6667px;" data-sheets-value='{"1":3,"3":0.2826968939732249}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R[0]C[-1]-R[0]C[5])/R[0]C[5]">28.27%</td>
<td style="text-align: right; width: 75px;" data-sheets-value='{"1":3,"3":0.8001}' data-sheets-numberformat='{"1":2,"2":"#,##0.0000","3":1}'>0.8001</td>
<td style="text-align: right; width: 75.8333px;" data-sheets-value='{"1":3,"3":101.69271}' data-sheets-numberformat='{"1":2,"2":"#,##0.0","3":1}' data-sheets-formula="=R[0]C[2]*R[0]C[-1]"><strong>101.7</strong></td>
<td style="text-align: right; width: 74.1667px;" data-sheets-value='{"1":3,"3":0.02893417796460866}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula='=R[0]C[-1]/(googlefinance(R[0]C[-5], "marketcap")/1000000000)'><strong>2.89%</strong></td>
</tr>
<tr>
<td style="width: 124.167px;" data-sheets-value='{"1":2,"2":"Lotte Tour Development Co., Ltd."}' data-sheets-formula='=googlefinance(R[0]C[1], "name")'>Lotte Tour Dev</td>
<td style="text-align: right; width: 75px;" data-sheets-value='{"1":2,"2":"032350"}' data-sheets-formula='="032350"'>032350</td>
<td style="text-align: right; width: 76.6667px;" data-sheets-value='{"1":3,"3":18100}' data-sheets-numberformat='{"1":4,"2":"[$₩]#,##0","3":1}' data-sheets-formula='=googlefinance(R[0]C[-1], "price")'>₩18,100</td>
<td style="text-align: right; width: 96.6667px;" data-sheets-value='{"1":3,"3":0.30685920577617326}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R[0]C[-1]-R[0]C[5])/R[0]C[5]">30.69%</td>
<td style="text-align: right; width: 75px;" data-sheets-value='{"1":3,"3":0.7877}' data-sheets-numberformat='{"1":2,"2":"#,##0.0000","3":1}'>0.7877</td>
<td style="text-align: right; width: 75.8333px;" data-sheets-value='{"1":3,"3":55.958208}' data-sheets-numberformat='{"1":2,"2":"#,##0.0","3":1}' data-sheets-formula="=R[0]C[2]*R[0]C[-1]"><strong>56.0</strong></td>
<td style="text-align: right; width: 74.1667px;" data-sheets-value='{"1":3,"3":0.04462769831973416}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula='=R[0]C[-1]/(googlefinance(R[0]C[-5], "marketcap")/1000000000)'><strong>4.46%</strong></td>
</tr>
<tr><td colspan="7" rowspan="1" style="width: 722.5px;" data-sheets-value='{"1":2,"2":"Source: DART"}'>Source: DART</td></tr>
</tbody>
</table>

Those with a high level of unconverted CB balance would be among the early target groups by short sellers from May 3 in Korea.Among the Short 350 (KOSPI 200 and KOSDAQ 150), five names pop up as a heavy CB carrier with the conversion in progress.









Name
Ticker
CB balance at FY2020 yearend (₩B)
Time to expiration (days)
Conversion


LG Display
034220
813.4
1,209
₩19,845


Hwaseung Enterprise
241590
150.0
10,529
₩17,542


GS E&amp;C
006360
77.8
84
₩30,239


KIWOOM Securities
039490
127.1
423
₩105,247


Lotte Tour Dev
032350
71.0
852
₩13,850

Source: DART

All of them enjoy a substantial gain in price, ranging from 2.90% to 52.12%. We should see a strong incentive in conversion, potentially resulting in an active shorting inflow.CB balance (as of FY2020 yearend) * Delta (σ, 21 TD) should estimate potential shorting inflow, suggesting LG Display sitting at the top with ₩623.5B.As a % of MC, Hwaseung Ent leads the pack at 13.15%.











Name
Ticker
Price
Price gain from the conversion
Delta (σ, 21 TD)
CB balance * Delta (₩B)
% of MC


LG Display
034220
₩24,900
25.47%
0.7665
623.5
7.00%


Hwaseung Enterprise
241590
₩18,000
2.61%
0.9556
143.3
13.15%


GS E&amp;C
006360
₩46,000
52.12%
0.9874
76.8
1.95%


KIWOOM Securities
039490
₩135,000
28.27%
0.8001
101.7
2.89%


Lotte Tour Dev
032350
₩18,100
30.69%
0.7877
56.0
4.46%

Source: DART



CB Balance X Delta (σ, 21 TD) Based Potential Shorting Inflow Among Korea Short 350

South Korea

KIWOOM Securities Co., Ltd. is an online financial institution.  The Company offers equity and fixed income securities brokerage, dealing, and underwriting services.  Kiwoom Securities provides its services to individual investors.

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Kiwoom Securities (039490 KS)

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