Korea/Asia, Events, IPOs, Douglas Research Advisory

Douglas Kim

Korea/Asia, Events, IPOs

Quantitative Analysis

<ul>
<li>In this insight, we discuss 19 value oriented stocks in KOSPI200 that have been big outperformers YTD but whose share prices have risen less than 100% from 3/20/2020 to 1/25/2022.</li>
<li>Among the 19 stocks in this list, 32% are financials (6 companies) and 16% are F&amp;B (3 companies).</li>
<li>These 19 value-oriented stocks could continue to outperform the market in the next few weeks due to rising inflation, geopolitical uncertainties, and uncertainties regarding how the COVID-19 narrative will end.</li>
</ul>


In this insight, we discuss 19 value oriented stocks in KOSPI200 that have been big outperformers YTD but whose share prices have risen less than 100% from 3/20/2020 to 1/25/2022.
Among the 19 stocks in this list, 32% are financials (6 companies) and 16% are F&amp;B (3 companies).
These 19 value-oriented stocks could continue to outperform the market in the next few weeks due to rising inflation, geopolitical uncertainties, and uncertainties regarding how the COVID-19 narrative will end.


Outperforming Value Stocks With Contrarian Qualities in KOSPI200

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.

Event-Driven

<p>I track a total of 141 sector pairs in Korea. Starting this insight, I grouped them into three groups: 1. Financials, 2. Retail, and 3. Industrials.</p><hr><h2>Financials</h2><p>4 pairs from the Financials group have a 180-day correlation coefficient above 0.75 (or close) and a 180-day daily price return beta above 0.70 while sitting below -1.0σ on a 20-day moving average. Of these, <strong>Hana Financial/Shinhan Financial</strong> and <strong>Hyundai Marine/DB Insurance</strong> warrant attention.</p><table class="table table-striped">
<colgroup>
<col width="200">
<col width="200">
<col width="70">
<col width="70">
<col width="70">
</colgroup>
<tbody>
<tr>
<td style="width: 241.818px;" data-sheets-value='{"1":2,"2":"Comp 1 (Long)"}'>Comp 1 (Long)</td>
<td style="width: 190px;" data-sheets-value='{"1":2,"2":"Comp 2 (Short)"}'>Comp 2 (Short)</td>
<td style="text-align: right; width: 64.5455px;" data-sheets-value='{"1":2,"2":"Sigma on a 20-day moving average"}'>Sigma on a 20-day moving average</td>
<td style="text-align: right; width: 60.9091px;" data-sheets-value='{"1":2,"2":"180-day correlation coefficient"}'>180-day correlation coefficient</td>
<td style="text-align: right; width: 82.7273px;" data-sheets-value='{"1":2,"2":"Cointegration coefficient (180-day price Δ beta)"}'>Cointegration coefficient (180-day price Δ beta)</td>
</tr>
<tr>
<td style="width: 241.818px;" data-sheets-value='{"1":2,"2":"Mirae Asset Securities Co Ltd"}' data-sheets-formula="=Data!R[-1]C[1]">Mirae Asset Securities Co Ltd</td>
<td style="width: 190px;" data-sheets-value='{"1":2,"2":"Samsung Securities Co Ltd"}' data-sheets-formula="=Data!R[-1]C[1]">Samsung Securities Co Ltd</td>
<td style="text-align: right; width: 64.5455px;" data-sheets-value='{"1":3,"3":-1.222273476903716}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=R[8]C[-1]">-1.22</td>
<td style="text-align: right; width: 60.9091px;" data-sheets-value='{"1":3,"3":0.7539862250329782}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=Sort!R[0]C[3]">0.75</td>
<td style="text-align: right; width: 82.7273px;" data-sheets-value='{"1":3,"3":0.6991098567863366}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=Beta!R[2]C[-3]">0.70</td>
</tr>
<tr>
<td style="width: 241.818px;" data-sheets-value='{"1":2,"2":"Mirae Asset Securities Co Ltd"}' data-sheets-formula="=Data!R[-2]C[3]">Mirae Asset Securities Co Ltd</td>
<td style="width: 190px;" data-sheets-value='{"1":2,"2":"NH Investment &amp; Securities Co Ltd"}' data-sheets-formula="=Data!R[-2]C[3]">NH Investment &amp; Securities Co Ltd</td>
<td style="text-align: right; width: 64.5455px;" data-sheets-value='{"1":3,"3":-1.1519173688233821}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=R[8]C[-1]">-1.15</td>
<td style="text-align: right; width: 60.9091px;" data-sheets-value='{"1":3,"3":0.7418291376039101}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=Sort!R[2]C[3]">0.74</td>
<td style="text-align: right; width: 82.7273px;" data-sheets-value='{"1":3,"3":0.7031067314990199}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=Beta!R[1]C[3]">0.70</td>
</tr>
<tr>
<td style="width: 241.818px;" data-sheets-value='{"1":2,"2":"Hana Financial Group Inc"}' data-sheets-formula="=Data!R[-3]C[5]"><strong>Hana Financial Group Inc</strong></td>
<td style="width: 190px;" data-sheets-value='{"1":2,"2":"Shinhan Financial Group Co., Ltd."}' data-sheets-formula="=Data!R[-3]C[5]"><strong>Shinhan Financial Group Co., Ltd.</strong></td>
<td style="text-align: right; width: 64.5455px;" data-sheets-value='{"1":3,"3":-1.0788984328569544}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=R[8]C[-1]"><strong>-1.08</strong></td>
<td style="text-align: right; width: 60.9091px;" data-sheets-value='{"1":3,"3":0.9401716746799647}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=Sort!R[2]C[3]"><strong>0.94</strong></td>
<td style="text-align: right; width: 82.7273px;" data-sheets-value='{"1":3,"3":1.021970873112603}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=Beta!R[0]C[5]"><strong>1.02</strong></td>
</tr>
<tr>
<td style="width: 241.818px;" data-sheets-value='{"1":2,"2":"Hyundai Marine &amp; Fire Insurance Co., Ltd"}' data-sheets-formula="=Data!R[-4]C[7]"><strong>Hyundai Marine &amp; Fire Insurance Co., Ltd</strong></td>
<td style="width: 190px;" data-sheets-value='{"1":2,"2":"DB Insurance Co Ltd"}' data-sheets-formula="=Data!R[-4]C[7]"><strong>DB Insurance Co Ltd</strong></td>
<td style="text-align: right; width: 64.5455px;" data-sheets-value='{"1":3,"3":-1.0725124068124459}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=R[8]C[-1]"><strong>-1.07</strong></td>
<td style="text-align: right; width: 60.9091px;" data-sheets-value='{"1":3,"3":0.9161479896868121}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=Sort!R[2]C[3]"><strong>0.92</strong></td>
<td style="text-align: right; width: 82.7273px;" data-sheets-value='{"1":3,"3":0.756650231829711}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=Beta!R[-1]C[7]"><strong>0.76</strong></td>
</tr>
<tr><td colspan="5" style="width: 723.636px;" data-sheets-value='{"1":2,"2":"Source: KRX"}'>Source: KRX</td></tr>
</tbody>
</table><h2>Retail</h2><p>2 pairs from the Retail group have a 180-day correlation coefficient above 0.75 and a 180-day daily price return beta above 0.70 while sitting below -1.0σ on a 20-day moving average: <strong>Lotte Shopping/GS Retail</strong> and <strong>Lotte Shopping/Hyundai Department</strong>.</p><table class="table table-striped">
<colgroup>
<col width="200">
<col width="200">
<col width="70">
<col width="70">
<col width="70">
</colgroup>
<tbody>
<tr>
<td data-sheets-value='{"1":2,"2":"Comp 1 (Long)"}'>Comp 1 (Long)</td>
<td data-sheets-value='{"1":2,"2":"Comp 2 (Short)"}'>Comp 2 (Short)</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>
<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":"Cointegration coefficient (180-day price Δ beta)"}'>Cointegration coefficient (180-day price Δ beta)</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Lotte Shopping Co Ltd"}' data-sheets-formula="=Data!R[-1]C[1]"><strong>Lotte Shopping Co Ltd</strong></td>
<td data-sheets-value='{"1":2,"2":"GS Retail Co Ltd"}' data-sheets-formula="=Data!R[-1]C[1]"><strong>GS Retail Co Ltd</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-1.5275880593828013}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=R[8]C[-1]"><strong>-1.53</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.8726370244086025}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=Sort!R[0]C[3]"><strong>0.87</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.8778679151859091}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=Beta!R[2]C[-3]"><strong>0.88</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Lotte Shopping Co Ltd"}' data-sheets-formula="=Data!R[-3]C[5]"><strong>Lotte Shopping Co Ltd</strong></td>
<td data-sheets-value='{"1":2,"2":"Hyundai Department Store Co Ltd"}' data-sheets-formula="=Data!R[-3]C[5]"><strong>Hyundai Department Store Co Ltd</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-1.126049210184334}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=R[8]C[-1]"><strong>-1.13</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.9181905655104922}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=Sort!R[1]C[3]"><strong>0.92</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.8654420144103113}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=Beta!R[0]C[3]"><strong>0.87</strong></td>
</tr>
<tr><td colspan="5" data-sheets-value='{"1":2,"2":"Source: KRX"}'>Source: KRX</td></tr>
</tbody>
</table><h2>Industrials</h2><p>4 pairs from the Retail group have a 180-day correlation coefficient above 0.75 and a 180-day daily price return beta above 0.70 (or close) while sitting below -1.0σ on a 20-day moving average.</p><p>Of these, the Celltrion siblings are the most correlated/cointegrated ones with a substantial diversion. I mentioned their trading dynamics in the previous insight. I will cover <strong>KAI/Hanwha Aerospace </strong>and <strong>Korea Shipbuilding/Hyundai Mipo</strong> in this post.</p><table class="table table-striped">
<colgroup>
<col width="70">
<col width="70">
<col width="70">
<col width="70">
<col width="70">
</colgroup>
<tbody>
<tr>
<td style="width: 230px;" data-sheets-value='{"1":2,"2":"Comp 1 (Long)"}'>Comp 1 (Long)</td>
<td style="width: 194.545px;" data-sheets-value='{"1":2,"2":"Comp 2 (Short)"}'>Comp 2 (Short)</td>
<td style="text-align: right; width: 80px;" data-sheets-value='{"1":2,"2":"Sigma on a 20-day moving average"}'>Sigma on a 20-day moving average</td>
<td style="text-align: right; width: 58.1818px;" data-sheets-value='{"1":2,"2":"180-day correlation coefficient"}'>180-day correlation coefficient</td>
<td style="text-align: right; width: 77.2727px;" data-sheets-value='{"1":2,"2":"Cointegration coefficient (180-day price Δ beta)"}'>Cointegration coefficient (180-day price Δ beta)</td>
</tr>
<tr>
<td style="width: 230px;" data-sheets-value='{"1":2,"2":"Korea Aerospace Industries Ltd"}' data-sheets-formula="=Data!R[-1]C[1]"><strong>Korea Aerospace Industries Ltd</strong></td>
<td style="width: 194.545px;" data-sheets-value='{"1":2,"2":"Hanwha Aerospace Co Ltd"}' data-sheets-formula="=Data!R[-1]C[1]"><strong>Hanwha Aerospace Co Ltd</strong></td>
<td style="text-align: right; width: 80px;" data-sheets-value='{"1":3,"3":-1.2612782453636326}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=R[8]C[-1]"><strong>-1.26</strong></td>
<td style="text-align: right; width: 58.1818px;" data-sheets-value='{"1":3,"3":0.9151301901660448}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=Sort!R[2]C[3]"><strong>0.92</strong></td>
<td style="text-align: right; width: 77.2727px;" data-sheets-value='{"1":3,"3":0.6164208180229479}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=Beta!R[2]C[1]"><strong>0.62</strong></td>
</tr>
<tr>
<td style="width: 230px;" data-sheets-value='{"1":2,"2":"Celltrion, Inc."}' data-sheets-formula="=Data!R[-2]C[3]">Celltrion, Inc.</td>
<td style="width: 194.545px;" data-sheets-value='{"1":2,"2":"Celltrion HealthCare Co Ltd"}' data-sheets-formula="=Data!R[-2]C[3]">Celltrion HealthCare Co Ltd</td>
<td style="text-align: right; width: 80px;" data-sheets-value='{"1":3,"3":-1.178153322167809}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=R[8]C[-1]">-1.18</td>
<td style="text-align: right; width: 58.1818px;" data-sheets-value='{"1":3,"3":0.8365102631201596}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=Sort!R[2]C[3]">0.84</td>
<td style="text-align: right; width: 77.2727px;" data-sheets-value='{"1":3,"3":0.7643376618440517}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=Beta!R[1]C[3]">0.76</td>
</tr>
<tr>
<td style="width: 230px;" data-sheets-value='{"1":2,"2":"Celltrion Pharm Inc"}' data-sheets-formula="=Data!R[-3]C[5]">Celltrion Pharm Inc</td>
<td style="width: 194.545px;" data-sheets-value='{"1":2,"2":"Celltrion HealthCare Co Ltd"}' data-sheets-formula="=Data!R[-3]C[5]">Celltrion HealthCare Co Ltd</td>
<td style="text-align: right; width: 80px;" data-sheets-value='{"1":3,"3":-1.066075796850893}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=R[8]C[-1]">-1.07</td>
<td style="text-align: right; width: 58.1818px;" data-sheets-value='{"1":3,"3":0.8799929165201812}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=Sort!R[3]C[3]">0.88</td>
<td style="text-align: right; width: 77.2727px;" data-sheets-value='{"1":3,"3":0.7823707069161424}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=Beta!R[0]C[7]">0.78</td>
</tr>
<tr>
<td style="width: 230px;" data-sheets-value='{"1":2,"2":"Korea Shipbuilding &amp;Offshore Engn Co Ltd"}' data-sheets-formula="=Data!R[-5]C[9]"><strong>Korea Shipbuilding &amp;Offshore Engn Co Ltd</strong></td>
<td style="width: 194.545px;" data-sheets-value='{"1":2,"2":"Hyundai Mipo Dockyard Co., Ltd."}' data-sheets-formula="=Data!R[-5]C[9]"><strong>Hyundai Mipo Dockyard Co., Ltd.</strong></td>
<td style="text-align: right; width: 80px;" data-sheets-value='{"1":3,"3":-1.0295619383635715}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=R[8]C[-1]"><strong>-1.03</strong></td>
<td style="text-align: right; width: 58.1818px;" data-sheets-value='{"1":3,"3":0.9657685058341984}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=Sort!R[3]C[3]"><strong>0.97</strong></td>
<td style="text-align: right; width: 77.2727px;" data-sheets-value='{"1":3,"3":0.6811111503062213}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=Beta!R[-2]C[11]"><strong>0.68</strong></td>
</tr>
<tr><td colspan="5" style="width: 723.636px;" data-sheets-value='{"1":2,"2":"Source: KRX"}'>Source: KRX</td></tr>
</tbody>
</table>

I track a total of 141 sector pairs in Korea. Starting this insight, I grouped them into three groups: 1. Financials, 2. Retail, and 3. Industrials.Financials4 pairs from the Financials group have a 180-day correlation coefficient above 0.75 (or close) and a 180-day daily price return beta above 0.70 while sitting below -1.0σ on a 20-day moving average. Of these, Hana Financial/Shinhan Financial and Hyundai Marine/DB Insurance warrant attention.









Comp 1 (Long)
Comp 2 (Short)
Sigma on a 20-day moving average
180-day correlation coefficient
Cointegration coefficient (180-day price Δ beta)


Mirae Asset Securities Co Ltd
Samsung Securities Co Ltd
-1.22
0.75
0.70


Mirae Asset Securities Co Ltd
NH Investment &amp; Securities Co Ltd
-1.15
0.74
0.70


Hana Financial Group Inc
Shinhan Financial Group Co., Ltd.
-1.08
0.94
1.02


Hyundai Marine &amp; Fire Insurance Co., Ltd
DB Insurance Co Ltd
-1.07
0.92
0.76

Source: KRX

Retail2 pairs from the Retail group have a 180-day correlation coefficient above 0.75 and a 180-day daily price return beta above 0.70 while sitting below -1.0σ on a 20-day moving average: Lotte Shopping/GS Retail and Lotte Shopping/Hyundai Department.









Comp 1 (Long)
Comp 2 (Short)
Sigma on a 20-day moving average
180-day correlation coefficient
Cointegration coefficient (180-day price Δ beta)


Lotte Shopping Co Ltd
GS Retail Co Ltd
-1.53
0.87
0.88


Lotte Shopping Co Ltd
Hyundai Department Store Co Ltd
-1.13
0.92
0.87

Source: KRX

Industrials4 pairs from the Retail group have a 180-day correlation coefficient above 0.75 and a 180-day daily price return beta above 0.70 (or close) while sitting below -1.0σ on a 20-day moving average.Of these, the Celltrion siblings are the most correlated/cointegrated ones with a substantial diversion. I mentioned their trading dynamics in the previous insight. I will cover KAI/Hanwha Aerospace and Korea Shipbuilding/Hyundai Mipo in this post.









Comp 1 (Long)
Comp 2 (Short)
Sigma on a 20-day moving average
180-day correlation coefficient
Cointegration coefficient (180-day price Δ beta)


Korea Aerospace Industries Ltd
Hanwha Aerospace Co Ltd
-1.26
0.92
0.62


Celltrion, Inc.
Celltrion HealthCare Co Ltd
-1.18
0.84
0.76


Celltrion Pharm Inc
Celltrion HealthCare Co Ltd
-1.07
0.88
0.78


Korea Shipbuilding &amp;Offshore Engn Co Ltd
Hyundai Mipo Dockyard Co., Ltd.
-1.03
0.97
0.68

Source: KRX



Korea Sector Pair Trade: Financials, Retail, & Industrials

Equity Capital Markets

Hanwha Systems Co Ltd / Equity Capital Markets

<p>Hanwha Systems announced a ₩1.2T rights offer at a 71.39% capital increase rate.</p><p>Per-share allocation for stockholders is 0.58124 as 20% goes to the ESOP.</p><p>The pricing discount is 15%, a little more aggressive than the usual 20%.</p><p>The ex-rights fall on April 21, with the preliminary pricing on April 19. The final pricing will be out on May 31. You can trade subscription rights between May 13~20.</p><table class="table table-striped">
<colgroup>
<col width="300">
<col width="300">
</colgroup>
<tbody>
<tr><td colspan="2" rowspan="1" data-sheets-value='{"1":2,"2":"Overview"}'>Overview</td></tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Issuer"}'>Issuer</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Hanwha Systems Co Ltd"}' data-sheets-formula='=googlefinance(R[1]C[0], "name")'>Hanwha Systems Co Ltd</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Ticker"}'>Ticker</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"272210"}' data-sheets-formula='="272210"'>272210</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Target"}'>Target</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"A public offering of forfeited shares after offering to stockholders"}'>A public offering of forfeited shares after offering to stockholders</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Transferability"}'>Transferability</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Renounceable"}'>Renounceable</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Volume"}'>Volume</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":78689000}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>78,689,000</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Bonus issue volume"}'>Bonus issue volume</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>0</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Preliminary price"}'>Preliminary price</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":15250}' data-sheets-numberformat='{"1":2,"2":"[$₩-412]#,##0","3":1}'>₩15,250</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Preliminary value"}'>Preliminary value</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1200007250000}' data-sheets-numberformat='{"1":2,"2":"[$₩-412]#,##0","3":1}' data-sheets-formula="=R[-3]C[0]*R[-1]C[0]">₩1,200,007,250,000</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Oversubscription privilege"}'>Oversubscription privilege</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.2}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}'>20.00%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Banker"}'>Banker</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Daishin &amp; KIS"}'>Daishin &amp; KIS</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - Underwriting type"}'>- Underwriting type</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Standby"}'>Standby</td>
</tr>
<tr><td colspan="2" rowspan="1" data-sheets-value='{"1":2,"2":"Source: DART"}'>Source: DART</td></tr>
</tbody>
</table><table class="table table-striped">
<colgroup>
<col width="300">
<col width="300">
</colgroup>
<tbody>
<tr><td colspan="2" rowspan="1" data-sheets-value='{"1":2,"2":"Allocation"}'>Allocation</td></tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Common"}'>Common</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":110230389}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula='=googlefinance(R[-13]C[0], "shares")'>110,230,389</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Pref (incl. RCPS &amp; CPS)"}'>Pref (incl. RCPS &amp; CPS)</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>0</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Total shares"}'>Total shares</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":110230389}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=R[-2]C[0]+R[-1]C[0]">110,230,389</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Treasury shares"}'>Treasury shares</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1926128}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>1,926,128</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Total shares ex treasury shares"}'>Total shares ex treasury shares</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":108304261}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=R[-2]C[0]-R[-1]C[0]">108,304,261</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Offer volume"}'><strong>Offer volume</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":78689000}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=R[1]C[0]+R[2]C[0]"><strong>78,689,000</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - Common"}'><strong>- Common</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":78689000}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=R[-16]C[0]"><strong>78,689,000</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - Pref"}'><strong>- Pref</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'><strong>0</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Per-share allocation"}'><strong>Per-share allocation</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.58124398263518}' data-sheets-numberformat='{"1":2,"2":"#,##0.0000000","3":1}' data-sheets-formula="=R[15]C[0]/R[-4]C[0]"><strong>0.5812440</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Capital increase"}'>Capital increase</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.7138594058667433}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[-4]C[0]/R[-7]C[0]">71.39%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Dilution"}'>Dilution</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.41652156730191414}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[-5]C[0]/(R[-8]C[0]+R[-5]C[0])">41.65%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Total shares after rights offer"}'>Total shares after rights offer</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":188919389}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=R[1]C[0]+R[2]C[0]">188,919,389</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - Common"}'>- Common</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":188919389}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=R[-12]C[0]+R[-7]C[0]">188,919,389</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - Pref"}'>- Pref</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=R[-12]C[0]">0</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Bonus issue"}'>Bonus issue</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=R[1]C[0]+R[2]C[0]">0</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - Common"}'>- Common</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>0</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - Pref"}'>- Pref</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>0</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Per-share allocation"}'>Per-share allocation</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0}' data-sheets-numberformat='{"1":2,"2":"#,##0.0000000","3":1}' data-sheets-formula="=R[-3]C[0]/(R[-6]C[0]-R[-14]C[0])">0.0000000</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Total shares after bonus issue"}'>Total shares after bonus issue</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":188919389}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=R[1]C[0]+R[2]C[0]">188,919,389</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - Common"}'>- Common</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":188919389}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=R[-7]C[0]+R[-4]C[0]">188,919,389</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - Pref"}'>- Pref</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=R[-7]C[0]+R[-4]C[0]">0</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"ESOP allocation"}'>ESOP allocation</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":15737800}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=R[-16]C[0]*R[1]C[0]">15,737,800</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - %"}'>- %</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.2}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}'>20.00%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Stockholder allocation"}'>Stockholder allocation</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":62951200}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=R[-18]C[0]-R[-2]C[0]">62,951,200</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - %"}'>- %</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.8}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[-1]C[0]/R[-19]C[0]">80.00%</td>
</tr>
<tr><td colspan="2" rowspan="1" data-sheets-value='{"1":2,"2":"Source: DART"}'>Source: DART</td></tr>
</tbody>
</table><table class="table table-striped">
<colgroup>
<col width="300">
<col width="300">
</colgroup>
<tbody>
<tr><td colspan="2" rowspan="1" data-sheets-value='{"1":2,"2":"Timetable"}'>Timetable</td></tr>
<tr>
<td data-sheets-value='{"1":2,"2":"BOD meeting"}'>BOD meeting</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":44284}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}'>2021. 3. 29</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Preliminary pricing"}'>Preliminary pricing</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":44305}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}'>2021. 4. 19</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Ex-rights date"}'>Ex-rights date</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":44307}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}'>2021. 4. 21</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Record date"}'>Record date</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":44308}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}'>2021. 4. 22</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Subscription rights trade beginning"}'>Subscription rights trade beginning</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":44329}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}'>2021. 5. 13</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Subscription rights trade ending"}'>Subscription rights trade ending</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":44329}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}'>2021. 5. 20</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Final pricing"}'>Final pricing</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":44347}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}'>2021. 5. 31</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Stockholder subscription"}'>Stockholder subscription</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":44350}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}'>2021. 6. 3</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Public subscription"}'>Public subscription</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":44355}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}'>2021. 6. 8</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Payment"}'>Payment</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":44358}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}'>2021. 6. 11</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Listing"}'>Listing</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":44370}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}'>2021. 6. 23</td>
</tr>
<tr><td colspan="2" rowspan="1" data-sheets-value='{"1":2,"2":"Source: DART"}'>Source: DART</td></tr>
</tbody>
</table><table class="table table-striped">
<colgroup>
<col width="350">
<col width="350">
</colgroup>
<tbody>
<tr><td colspan="2" rowspan="1" data-sheets-value='{"1":2,"2":"Pricing"}'>Pricing</td></tr>
<tr>
<td data-sheets-value='{"1":2,"2":"1st round"}'>1st round</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"RP × (1 - 15%) / [1 + (71.39% × 15%)]"}' data-sheets-formula='="RP × (1 - "&amp;(R[11]C[0]*100&amp;"%")&amp;") / [1 + ("&amp;(R[12]C[0]*100&amp;"%"&amp;" × "&amp;(R[11]C[0]*100&amp;"%"&amp;")]"))'>RP × (1 - 15%) / [1 + (71.39% × 15%)]</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - Reference price (RP)"}'>- Reference price (RP)</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Min [Close, Avg (Close, 1W VWAP, 1M VWAP)]"}'>Min [Close, Avg (Close, 1W VWAP, 1M VWAP)]</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - Reference date"}'>- Reference date</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":44305}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}' data-sheets-formula="=Terms!R[41]C[0]">2021. 4. 19</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Ex-rights base price"}'>Ex-rights base price</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"[RP + (1st × 71.39%)] / (1 + 71.39%)"}' data-sheets-formula='="[RP + (1st × "&amp;R[9]C[0]*100&amp;"%"&amp;")] / (1 + "&amp;R[9]C[0]*100&amp;"%"&amp;")"'>[RP + (1st × 71.39%)] / (1 + 71.39%)</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - Reference price (RP)"}'>- Reference price (RP)</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Previous close"}'>Previous close</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - Reference date"}'>- Reference date</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":44307}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}' data-sheets-formula="=Terms!R[39]C[0]">2021. 4. 21</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"2nd round"}'>2nd round</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"RP × (1 - 15%)"}' data-sheets-formula='="RP × (1 - "&amp;(R[5]C[0]*100&amp;"%")&amp;")"'>RP × (1 - 15%)</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - Reference price (RP)"}'>- Reference price (RP)</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Min [Close, Avg (Close, 1W VWAP)]"}'>Min [Close, Avg (Close, 1W VWAP)]</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - Reference date"}'>- Reference date</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":44347}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}' data-sheets-formula="=Terms!R[40]C[0]">2021. 5. 31</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Final"}'>Final</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Max [Min (1st, 2nd), 3D VWAP × 60%]"}'>Max [Min (1st, 2nd), 3D VWAP × 60%]</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - Reference date"}'>- Reference date</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":44347}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}' data-sheets-formula="=Terms!R[38]C[0]">2021. 5. 31</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Discount rate"}'>Discount rate</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.15}' data-sheets-numberformat='[null,3,"0.00%",1]'>15.00%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Capital increase rate"}'>Capital increase rate</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.7139}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=LEFT(Terms!R[11]C[0],6)*100/100">71.39%</td>
</tr>
<tr><td colspan="2" rowspan="1" data-sheets-value='{"1":2,"2":"Source: DART"}'>Source: DART</td></tr>
</tbody>
</table>

Hanwha Systems announced a ₩1.2T rights offer at a 71.39% capital increase rate.Per-share allocation for stockholders is 0.58124 as 20% goes to the ESOP.The pricing discount is 15%, a little more aggressive than the usual 20%.The ex-rights fall on April 21, with the preliminary pricing on April 19. The final pricing will be out on May 31. You can trade subscription rights between May 13~20.





Overview

Issuer
Hanwha Systems Co Ltd


Ticker
272210


Target
A public offering of forfeited shares after offering to stockholders


Transferability
Renounceable


Volume
78,689,000


Bonus issue volume
0


Preliminary price
₩15,250


Preliminary value
₩1,200,007,250,000


Oversubscription privilege
20.00%


Banker
Daishin &amp; KIS


- Underwriting type
Standby

Source: DART







Allocation

Common
110,230,389


Pref (incl. RCPS &amp; CPS)
0


Total shares
110,230,389


Treasury shares
1,926,128


Total shares ex treasury shares
108,304,261


Offer volume
78,689,000


- Common
78,689,000


- Pref
0


Per-share allocation
0.5812440


Capital increase
71.39%


Dilution
41.65%


Total shares after rights offer
188,919,389


- Common
188,919,389


- Pref
0


Bonus issue
0


- Common
0


- Pref
0


Per-share allocation
0.0000000


Total shares after bonus issue
188,919,389


- Common
188,919,389


- Pref
0


ESOP allocation
15,737,800


- %
20.00%


Stockholder allocation
62,951,200


- %
80.00%

Source: DART







Timetable

BOD meeting
2021. 3. 29


Preliminary pricing
2021. 4. 19


Ex-rights date
2021. 4. 21


Record date
2021. 4. 22


Subscription rights trade beginning
2021. 5. 13


Subscription rights trade ending
2021. 5. 20


Final pricing
2021. 5. 31


Stockholder subscription
2021. 6. 3


Public subscription
2021. 6. 8


Payment
2021. 6. 11


Listing
2021. 6. 23

Source: DART







Pricing

1st round
RP × (1 - 15%) / [1 + (71.39% × 15%)]


- Reference price (RP)
Min [Close, Avg (Close, 1W VWAP, 1M VWAP)]


- Reference date
2021. 4. 19


Ex-rights base price
[RP + (1st × 71.39%)] / (1 + 71.39%)


- Reference price (RP)
Previous close


- Reference date
2021. 4. 21


2nd round
RP × (1 - 15%)


- Reference price (RP)
Min [Close, Avg (Close, 1W VWAP)]


- Reference date
2021. 5. 31


Final
Max [Min (1st, 2nd), 3D VWAP × 60%]


- Reference date
2021. 5. 31


Discount rate
15.00%


Capital increase rate
71.39%

Source: DART



Hanwha Systems ₩1.2T Rights Offer Summary & Dynamics

Equity Bottom-Up

<p><strong><a href="https://www.smartkarma.com/entities/satrec-initiative-co-ltd" target="_blank" rel="noopener" data-smartkarma-citation="entities:11367:1">Satrec Initiative (099320 KS)</a> is the 5th company in our Korea Small Cap Gems series. Satrec Initiative has a market cap of 198 billion won. Satrec Initiative is one of the best small cap companies with specialized technologies in the space satellite systems in Korea.</strong></p><p>Satrec Initiative is one of the few satellite system development companies that has been able to export products to other countries such as the UAE, Malaysia, and Singapore. Satrec Iniative is planning to IPO two of its subsidiaries, including SIIS (SI Imaging Services) and SIA (SI Analytics). Satrec is in the midst of selecting the main underwriters to lead these IPOs. Satrec Initiative owns 62.5% of SIIS  and 89.2% of SIA.</p><div class="content-highlight"><p><strong>A key investment thesis on Satrec Initiative is the fact that this company has one of the best technologies for developing and producing satellite systems and related components in Korea. Valuations are not too demanding and they are currently trading at relatively lower end of the historical valuation multiples. We are including <a href="https://www.smartkarma.com/entities/satrec-initiative-co-ltd" target="_blank" rel="noopener" data-smartkarma-citation="entities:11367:1">Satrec Initiative (099320 KS)</a> in our model portfolio.</strong></p></div>

Satrec Initiative (099320 KS) is the 5th company in our Korea Small Cap Gems series. Satrec Initiative has a market cap of 198 billion won. Satrec Initiative is one of the best small cap companies with specialized technologies in the space satellite systems in Korea.Satrec Initiative is one of the few satellite system development companies that has been able to export products to other countries such as the UAE, Malaysia, and Singapore. Satrec Iniative is planning to IPO two of its subsidiaries, including SIIS (SI Imaging Services) and SIA (SI Analytics). Satrec is in the midst of selecting the main underwriters to lead these IPOs. Satrec Initiative owns 62.5% of SIIS  and 89.2% of SIA.A key investment thesis on Satrec Initiative is the fact that this company has one of the best technologies for developing and producing satellite systems and related components in Korea. Valuations are not too demanding and they are currently trading at relatively lower end of the historical valuation multiples. We are including Satrec Initiative (099320 KS) in our model portfolio.

Korea Small Cap Gem #5: Satrec Initiative

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

<p>* Our Q3-2019 Small-Mid Cap High-Risk list of stocks ( <a href="https://www.smartkarma.com/insights/screening-the-silkroad-small-mid-cap-high-risk-names-to-avoid-q3-2019" target="_blank" data-smartkarma-citation="insights:31999" rel="noopener">Screening the Silkroad: Small-Mid Cap High-Risk Names to Avoid: Q3 2019 ) </a> produced a market cap average price return of 5%. In comparison, the MSCI Asia Pacific Index posted 8.5% over the same period. The stock rank quality of the Q3 2019 list declined 5.1 points or 6.6% for the period. <br>* 16-stocks appear in our Q4 2019 screen, compared to 14, 19 and 26 in Q3, Q2 and Q1 respectively. The average stock rank has decreased marginally to 74.9 points from the 76.9 points in August 2019. The fact that the screen presents with a high stock rank remains a concern. In our view, this reflects the increased level of risk in the market which is being seen in other metrics as well.<br>* Deteriorating credit metrics support our view that the level of risk appears is increasing within the small-mid cap universe. </p>

* Our Q3-2019 Small-Mid Cap High-Risk list of stocks ( Screening the Silkroad: Small-Mid Cap High-Risk Names to Avoid: Q3 2019 )  produced a market cap average price return of 5%. In comparison, the MSCI Asia Pacific Index posted 8.5% over the same period. The stock rank quality of the Q3 2019 list declined 5.1 points or 6.6% for the period.  * 16-stocks appear in our Q4 2019 screen, compared to 14, 19 and 26 in Q3, Q2 and Q1 respectively. The average stock rank has decreased marginally to 74.9 points from the 76.9 points in August 2019. The fact that the screen presents with a high stock rank remains a concern. In our view, this reflects the increased level of risk in the market which is being seen in other metrics as well. * Deteriorating credit metrics support our view that the level of risk appears is increasing within the small-mid cap universe. 

Screening the Silk Road: Small-Mid Cap High Risk Names to Avoid: Q4 2019

South Korea

Korea Aerospace Industries Ltd. designs and produces aircraft parts including fixed wings for aircrafts and rotary wings for helicopters. The Company also engages in aircraft upgrade and modification business and satellite development business.

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Korea Aerospace Industries (047810 KS)

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