Pan-Asia Catalysts/Events, Quiddity Advisors

David Blennerhassett

Pan-Asia Catalysts/Events

Quiddity Advisors

Event-Driven

Last Week in Event SPACE:  Swire, Hitachi Metal, Jardine, Softbank, Bingo, Japan Asia, Mainstream

Korea/Asia, Events, IPOs, Douglas Research Advisory

Douglas Kim

Korea/Asia, Events, IPOs

<p>Our NAV analysis of <a href="https://www.smartkarma.com/entities/hanwha-corporation" target="_blank" data-smartkarma-citation="entities:10619:1" rel="noopener">Hanwha Corporation (000880 KS)</a> suggests NAV of 3,845 billion won (51,298 won per share). This represents a 62% upside from the current price of 31,600 won. The biggest component of the company's value is its investments in other Hanwha Group related companies. Hanwha Corp's 37% stake in Hanwha Solution is worth 3.3 trillion won, which represents 60% of the value of the company (pre-holdco discount).</p><p>With the resumption of the partial short selling of Korean stocks on May 3rd, more hedge funds and other active investors will likely to employ pair trade strategies involving holdcos and opcos in Korea. The pair between Hanwha Corp and Hanwha Solution is the one which have shown one of widest gaps in share price performance in the past year. In our view, there is a good chance that this price gap narrows between Hanwha Corp and Hanwha Solution in the coming months.</p>

Our NAV analysis of Hanwha Corporation (000880 KS) suggests NAV of 3,845 billion won (51,298 won per share). This represents a 62% upside from the current price of 31,600 won. The biggest component of the company's value is its investments in other Hanwha Group related companies. Hanwha Corp's 37% stake in Hanwha Solution is worth 3.3 trillion won, which represents 60% of the value of the company (pre-holdco discount).With the resumption of the partial short selling of Korean stocks on May 3rd, more hedge funds and other active investors will likely to employ pair trade strategies involving holdcos and opcos in Korea. The pair between Hanwha Corp and Hanwha Solution is the one which have shown one of widest gaps in share price performance in the past year. In our view, there is a good chance that this price gap narrows between Hanwha Corp and Hanwha Solution in the coming months.

Our NAV Analysis of Hanwha Corp and A Pair Trade with Hanwha Solution

<div class="content-highlight"><p>In this insight, we highlight the closing of the pricing gaps between the major Korean holdcos and opcos, especially with the upcoming end of the ban on the short selling of shares in Korea in May. In this insight, we highlight 26 pair trades that involve Korean holdcos and opcos.</p></div><p>Just a reminder that the ban on short selling of KOSPI 200 and KOSDAQ 150 included stocks will remain in place until May 2nd and investors will be able to resume their shorting on these 350 stocks starting on May 3rd. Once this ban on short selling of stocks ends, there could be more investors that may look to add to the holdco shares and short the opco shares (especially among the pairs where the holdco shares have underperformed the opco shares in the past year). However, some of these moves have already started to take place in the past few weeks, which could reduce the overall profits on the pair trades. </p><p>Traditionally, the pair trades involving Korean holdcos and opcos have been a trading strategy that many hedge funds have employed for many years. However, the ban on short selling of stocks in Korea have prevented many of these funds from employing these pair trade strategies. Once the ban ends, you will likely see these funds becoming more active in these trading methods once again. </p><div class="content-highlight">
<p>In the section below, we separated the pair trades into two different sections. The first table involves major opcos outperforming holdcos (regular and quasi) in the past year. Of the 26 pair trade strategies mentioned in this insight, this section I involves 19 of them (73% of total). The section II (which involve holdcos outperforming the opcos in the past year) involves 7 pair trade strategies (27% of total).</p>
<p>In other words, the opcos in general have vastly outperformed the holdcos in the past year, especially due to the ban on the short selling of stocks in Korea. Because the opcos tend to be the bigger company than the holdcos in terms of market cap, many fund managers (both active and passive) have tended to just invest in the opcos and pay less attention to the holdcos.  </p>
</div><p>Also, we described the holdcos as either regular or quasi. SK Telecom and Samsung C&amp;T would be examples of "quasi" holdcos whereas Orion Holdings and Hanjin Kal would be examples of regular holdcos. </p>

In this insight, we highlight the closing of the pricing gaps between the major Korean holdcos and opcos, especially with the upcoming end of the ban on the short selling of shares in Korea in May. In this insight, we highlight 26 pair trades that involve Korean holdcos and opcos.Just a reminder that the ban on short selling of KOSPI 200 and KOSDAQ 150 included stocks will remain in place until May 2nd and investors will be able to resume their shorting on these 350 stocks starting on May 3rd. Once this ban on short selling of stocks ends, there could be more investors that may look to add to the holdco shares and short the opco shares (especially among the pairs where the holdco shares have underperformed the opco shares in the past year). However, some of these moves have already started to take place in the past few weeks, which could reduce the overall profits on the pair trades. Traditionally, the pair trades involving Korean holdcos and opcos have been a trading strategy that many hedge funds have employed for many years. However, the ban on short selling of stocks in Korea have prevented many of these funds from employing these pair trade strategies. Once the ban ends, you will likely see these funds becoming more active in these trading methods once again. 
In the section below, we separated the pair trades into two different sections. The first table involves major opcos outperforming holdcos (regular and quasi) in the past year. Of the 26 pair trade strategies mentioned in this insight, this section I involves 19 of them (73% of total). The section II (which involve holdcos outperforming the opcos in the past year) involves 7 pair trade strategies (27% of total).
In other words, the opcos in general have vastly outperformed the holdcos in the past year, especially due to the ban on the short selling of stocks in Korea. Because the opcos tend to be the bigger company than the holdcos in terms of market cap, many fund managers (both active and passive) have tended to just invest in the opcos and pay less attention to the holdcos.  
Also, we described the holdcos as either regular or quasi. SK Telecom and Samsung C&amp;T would be examples of "quasi" holdcos whereas Orion Holdings and Hanjin Kal would be examples of regular holdcos. 

Closing the Gap: Korean Holdcos Vs. Opcos

Korea / Special Sits, Pairs, Index Rebalancing, Clepsydra Capital

Sanghyun Park

Korea / Special Sits, Pairs, Index Rebalancing

Equity Capital Markets

Hanwha Solutions / Equity Capital Markets

<p>Hanwha Solutions became the latest one in Korea to leverage the hyper liquid stock market.</p><p>It announced a ₩1.2T offering at a 19.5% capital increase.</p><p>20% goes to the ESPO, so the per-share allocation for stockholders sits at 0.1565.</p><p>This event has a longer schedule than usual due to two holidays, the new year and Seollal (lunar new year).</p><p>Oversubscription is 20%, and five local bankers will be serving as an underwriter, mainly due to the offering size.</p><table class="table table-striped">
<colgroup>
<col width="300">
<col width="300">
</colgroup>
<tbody>
<tr><td colspan="2" rowspan="1" style="width: 723.636px;" data-sheets-value='{"1":2,"2":"Overview"}'>Overview</td></tr>
<tr>
<td style="width: 351.818px;" data-sheets-value='{"1":2,"2":"Issuer"}'>Issuer</td>
<td style="text-align: left; width: 350.909px;" data-sheets-value='{"1":2,"2":"Hanwha Solutions Corp"}' data-sheets-formula='=googlefinance(R[1]C[0], "name")'>Hanwha Solutions Corp</td>
</tr>
<tr>
<td style="width: 351.818px;" data-sheets-value='{"1":2,"2":"Ticker"}'>Ticker</td>
<td style="text-align: left; width: 350.909px;" data-sheets-value='{"1":2,"2":"009830"}' data-sheets-formula='="009830"'>009830</td>
</tr>
<tr>
<td style="width: 351.818px;" data-sheets-value='{"1":2,"2":"Target"}'>Target</td>
<td style="text-align: left; width: 350.909px;" data-sheets-value='{"1":2,"2":"Pubic offering of forfeited shares after offering to stockholders"}'>A public offering of forfeited shares after offering to stockholders</td>
</tr>
<tr>
<td style="width: 351.818px;" data-sheets-value='{"1":2,"2":"Transferability"}'>Transferability</td>
<td style="text-align: left; width: 350.909px;" data-sheets-value='{"1":2,"2":"Renounceable"}'>Renounceable</td>
</tr>
<tr>
<td style="width: 351.818px;" data-sheets-value='{"1":2,"2":"Volume"}'>Volume</td>
<td style="text-align: left; width: 350.909px;" data-sheets-value='{"1":3,"3":31414000}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>31,414,000</td>
</tr>
<tr>
<td style="width: 351.818px;" data-sheets-value='{"1":2,"2":"Bonus issue volume"}'>Bonus issue volume</td>
<td style="text-align: left; width: 350.909px;" data-sheets-value='{"1":3,"3":0}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>0</td>
</tr>
<tr>
<td style="width: 351.818px;" data-sheets-value='{"1":2,"2":"Preliminary price"}'>Preliminary price</td>
<td style="text-align: left; width: 350.909px;" data-sheets-value='{"1":3,"3":38200}' data-sheets-numberformat='{"1":2,"2":"[$₩-412]#,##0","3":1}'>₩38,200</td>
</tr>
<tr>
<td style="width: 351.818px;" data-sheets-value='{"1":2,"2":"Preliminary value"}'>Preliminary value</td>
<td style="text-align: left; width: 350.909px;" data-sheets-value='{"1":3,"3":1200014800000}' data-sheets-numberformat='{"1":2,"2":"[$₩-412]#,##0","3":1}' data-sheets-formula="=R[-3]C[0]*R[-1]C[0]">₩1,200,014,800,000</td>
</tr>
<tr>
<td style="width: 351.818px;" data-sheets-value='{"1":2,"2":"Oversubscription privilege"}'>Oversubscription privilege</td>
<td style="text-align: left; width: 350.909px;" data-sheets-value='{"1":3,"3":0.2}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}'>20.00%</td>
</tr>
<tr>
<td style="width: 351.818px;" data-sheets-value='{"1":2,"2":"Banker"}'>Banker</td>
<td style="text-align: left; width: 350.909px;" data-sheets-value='{"1":2,"2":"NH, KIS, Mirae Asset, KB, &amp; Daishin"}'>NH, KIS, Mirae Asset, KB, &amp; Daishin</td>
</tr>
<tr>
<td style="width: 351.818px;" data-sheets-value='{"1":2,"2":" - Underwriting type"}'>- Underwriting type</td>
<td style="text-align: left; width: 350.909px;" data-sheets-value='{"1":2,"2":"Standby"}'>Standby</td>
</tr>
<tr><td colspan="2" rowspan="1" style="width: 723.636px;" 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: left;" data-sheets-value='{"1":3,"3":159864497}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula='=googlefinance(R[-13]C[0], "shares")'>159,864,497</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: left;" data-sheets-value='{"1":3,"3":1123737}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>1,123,737</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Total shares"}'>Total shares</td>
<td style="text-align: left;" data-sheets-value='{"1":3,"3":160988234}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=R[-2]C[0]+R[-1]C[0]">160,988,234</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Treasury shares"}'>Treasury shares</td>
<td style="text-align: left;" data-sheets-value='{"1":3,"3":400000}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>400,000</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: left;" data-sheets-value='{"1":3,"3":160588234}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=R[-2]C[0]-R[-1]C[0]">160,588,234</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Offer volume"}'>Offer volume</td>
<td style="text-align: left;" data-sheets-value='{"1":3,"3":31414000}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=R[1]C[0]+R[2]C[0]">31,414,000</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - Common"}'>- Common</td>
<td style="text-align: left;" data-sheets-value='{"1":3,"3":31414000}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=R[-16]C[0]">31,414,000</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - Pref"}'>- Pref</td>
<td style="text-align: left;" 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: left;" data-sheets-value='{"1":3,"3":0.15649465327578108}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000"}' data-sheets-formula="=R[8]C[0]/R[-4]C[0]">0.15649</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Capital increase"}'>Capital increase</td>
<td style="text-align: left;" data-sheets-value='{"1":3,"3":0.19513227283429918}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[-4]C[0]/R[-7]C[0]">19.51%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Dilution"}'>Dilution</td>
<td style="text-align: left;" data-sheets-value='{"1":3,"3":0.16327253248005427}' 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])">16.33%</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: left;" data-sheets-value='{"1":3,"3":192402234}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=R[1]C[0]+R[2]C[0]">192,402,234</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - Common"}'>- Common</td>
<td style="text-align: left;" data-sheets-value='{"1":3,"3":191278497}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=R[-12]C[0]+R[-7]C[0]">191,278,497</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - Pref"}'>- Pref</td>
<td style="text-align: left;" data-sheets-value='{"1":3,"3":1123737}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=R[-12]C[0]">1,123,737</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"ESOP allocation"}'>ESOP allocation</td>
<td style="text-align: left;" data-sheets-value='{"1":3,"3":6282800}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}'>6,282,800</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - %"}'>- %</td>
<td style="text-align: left;" data-sheets-value='{"1":3,"3":0.2}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[-1]C[0]/R[-10]C[0]">20.00%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Stockholder allocation"}'>Stockholder allocation</td>
<td style="text-align: left;" data-sheets-value='{"1":3,"3":25131200}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=R[-11]C[0]-R[-2]C[0]">25,131,200</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - %"}'>- %</td>
<td style="text-align: left;" 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[-12]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: left;" data-sheets-value='{"1":3,"3":44186}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}'>2020. 12. 21</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Preliminary pricing"}'><strong>Preliminary pricing</strong></td>
<td style="text-align: left;" data-sheets-value='{"1":3,"3":44210}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}'><strong>2021. 1. 14</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Ex-rights date"}'><strong>Ex-rights date</strong></td>
<td style="text-align: left;" data-sheets-value='{"1":3,"3":44214}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}'><strong>2021. 1. 18</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Record date"}'>Record date</td>
<td style="text-align: left;" data-sheets-value='{"1":3,"3":44215}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}'>2021. 1. 19</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Subscription rights trade beginning"}'>Subscription rights trade beginning</td>
<td style="text-align: left;" data-sheets-value='{"1":3,"3":44232}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}'>2021. 2. 5</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Subscription rights trade ending"}'>Subscription rights trade ending</td>
<td style="text-align: left;" data-sheets-value='{"1":3,"3":44242}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}'>2021. 2. 15</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Final pricing"}'><strong>Final pricing</strong></td>
<td style="text-align: left;" data-sheets-value='{"1":3,"3":44246}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}'><strong>2021. 2. 19</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Stockholder subscription"}'>Stockholder subscription</td>
<td style="text-align: left;" data-sheets-value='{"1":3,"3":44251}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}'>2021. 2. 24</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Public subscription"}'>Public subscription</td>
<td style="text-align: left;" data-sheets-value='{"1":3,"3":44257}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}'>2021. 3. 2</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Payment"}'>Payment</td>
<td style="text-align: left;" data-sheets-value='{"1":3,"3":44260}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}'>2021. 3. 5</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Listing"}'>Listing</td>
<td style="text-align: left;" data-sheets-value='{"1":3,"3":44273}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}'>2021. 3. 18</td>
</tr>
<tr><td colspan="2" rowspan="1" data-sheets-value='{"1":2,"2":"Source: DART"}'>Source: DART</td></tr>
</tbody>
</table><p>The discount is 15%, less than the usual 20%.</p><table class="table table-striped">
<colgroup>
<col width="300">
<col width="400">
</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 data-sheets-value='{"1":2,"2":"RP × (1 - 15%) / [1 + (19.51% × 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 + (19.51% × 15%)]</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - Reference price (RP)"}'>- Reference price (RP)</td>
<td 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 data-sheets-value='{"1":3,"3":44210}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}' data-sheets-formula="=Terms!R[34]C[0]">2021. 1. 14</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Ex-rights base price"}'>Ex-rights base price</td>
<td data-sheets-value='{"1":2,"2":"[RP + (1st × 19.51%)] / (1 + 19.51%)"}' data-sheets-formula='="[RP + (1st × "&amp;R[9]C[0]*100&amp;"%"&amp;")] / (1 + "&amp;R[9]C[0]*100&amp;"%"&amp;")"'>[RP + (1st × 19.51%)] / (1 + 19.51%)</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - Reference price (RP)"}'>- Reference price (RP)</td>
<td 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 data-sheets-value='{"1":3,"3":44214}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}' data-sheets-formula="=Terms!R[32]C[0]">2021. 1. 18</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"2nd round"}'>2nd round</td>
<td 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 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 data-sheets-value='{"1":3,"3":44246}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}' data-sheets-formula="=Terms!R[33]C[0]">2021. 2. 19</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Final"}'>Final</td>
<td 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 data-sheets-value='{"1":3,"3":44246}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}' data-sheets-formula="=Terms!R[31]C[0]">2021. 2. 19</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Discount rate"}'><strong>Discount rate</strong></td>
<td data-sheets-value='{"1":3,"3":0.15}' data-sheets-numberformat='[null,3,"0.00%",1]'><strong>15.00%</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Capital increase rate"}'>Capital increase rate</td>
<td data-sheets-value='{"1":3,"3":0.19509999999999997}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=LEFT(Terms!R[11]C[0],6)*100/100">19.51%</td>
</tr>
<tr><td colspan="2" rowspan="1" data-sheets-value='{"1":2,"2":"Source: DART"}'>Source: DART</td></tr>
</tbody>
</table>

Hanwha Solutions became the latest one in Korea to leverage the hyper liquid stock market.It announced a ₩1.2T offering at a 19.5% capital increase.20% goes to the ESPO, so the per-share allocation for stockholders sits at 0.1565.This event has a longer schedule than usual due to two holidays, the new year and Seollal (lunar new year).Oversubscription is 20%, and five local bankers will be serving as an underwriter, mainly due to the offering size.





Overview

Issuer
Hanwha Solutions Corp


Ticker
009830


Target
A public offering of forfeited shares after offering to stockholders


Transferability
Renounceable


Volume
31,414,000


Bonus issue volume
0


Preliminary price
₩38,200


Preliminary value
₩1,200,014,800,000


Oversubscription privilege
20.00%


Banker
NH, KIS, Mirae Asset, KB, &amp; Daishin


- Underwriting type
Standby

Source: DART







Allocation

Common
159,864,497


Pref (incl. RCPS &amp; CPS)
1,123,737


Total shares
160,988,234


Treasury shares
400,000


Total shares ex treasury shares
160,588,234


Offer volume
31,414,000


- Common
31,414,000


- Pref
0


Per-share allocation
0.15649


Capital increase
19.51%


Dilution
16.33%


Total shares after rights offer
192,402,234


- Common
191,278,497


- Pref
1,123,737


ESOP allocation
6,282,800


- %
20.00%


Stockholder allocation
25,131,200


- %
80.00%

Source: DART







Timetable

BOD meeting
2020. 12. 21


Preliminary pricing
2021. 1. 14


Ex-rights date
2021. 1. 18


Record date
2021. 1. 19


Subscription rights trade beginning
2021. 2. 5


Subscription rights trade ending
2021. 2. 15


Final pricing
2021. 2. 19


Stockholder subscription
2021. 2. 24


Public subscription
2021. 3. 2


Payment
2021. 3. 5


Listing
2021. 3. 18

Source: DART

The discount is 15%, less than the usual 20%.





Pricing

1st round
RP × (1 - 15%) / [1 + (19.51% × 15%)]


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


- Reference date
2021. 1. 14


Ex-rights base price
[RP + (1st × 19.51%)] / (1 + 19.51%)


- Reference price (RP)
Previous close


- Reference date
2021. 1. 18


2nd round
RP × (1 - 15%)


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


- Reference date
2021. 2. 19


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


- Reference date
2021. 2. 19


Discount rate
15.00%


Capital increase rate
19.51%

Source: DART



Hanwha Solutions ₩1.2T Rights Offer: Terms & Trade Approach

Technical Analyst, Vermilion Research

Joe Jasper

Technical Analyst

Technical and Quantitative Research

Vermilion Research

Vermilion’s objective is to deliver timely, actionable, and unique technical research to professional investors through the application of our various technical indicators.

Our research strategists seek to highlight securities which we believe are at major inflection points, based on our various technical and quantitative indicators, and offer asymmetric risk/return profiles. Our unique research methodology, centered on relative strength, enables our strategists to deliver superior investment recommendations.

Our process begins by organizing the universe of actively traded stocks into discrete sectors, then into industry groups. We then apply our technical and quantitative tools to identify developing price trends. Once attractive trends are identified within a selected sector or group, we screen for individual stocks which we believe offer the best risk/reward profile. We provide a historical perspective that often reveals, through our long-term charts, how price patterns often repeat themselves over time.

Technical Analysis

MSCI Emerging Markets Index / Technical Analysis

<p>The MSCI EM index (local currency) remains in an uptrend and is testing all-time highs set in January 2018 near 65,800; as long as the index is above 60,000 we are constructive from a price perspective.  China (<strong>CSI 300, MSCI China</strong>) continues to offer many attractive setups and accounts for the vast majority of today’s recommendations. Taiwan (<strong>TAIEX</strong>) continues to be worthy of an overweight within the EM universe, while South Korea (<strong>KOSPI</strong>) and India (<strong>SENSEX</strong>) display improving price and RS trends -- add exposure.</p>

The MSCI EM index (local currency) remains in an uptrend and is testing all-time highs set in January 2018 near 65,800; as long as the index is above 60,000 we are constructive from a price perspective.  China (CSI 300, MSCI China) continues to offer many attractive setups and accounts for the vast majority of today’s recommendations. Taiwan (TAIEX) continues to be worthy of an overweight within the EM universe, while South Korea (KOSPI) and India (SENSEX) display improving price and RS trends -- add exposure.

South Korea

Hanwha Corporation imports and exports petrochemicals, machinery, automotives, electronics, and steel.  The Company also produces explosives for the defense and construction industries.  In addition, Hanwha manufactures automotive airbag inflators and telecommunication equipment, such as wireless phones and provides financial services through its subsidiaries.

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Hanwha Corporation (000880 KS)

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