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

Sanghyun Park

Korea / Special Sits, Pairs, Index Rebalancing

Event-Driven

<p>No concrete saying on Samsung's year-end special dividend yet.</p><p>That means we should still expect an additional ₩6.5T to fill up to meet the 3-yr 50% FCF target, which then translates into a ₩1,304 year-end DPS (ord) based on the current street consensus.</p><table class="table table-striped">
<colgroup>
<col width="100">
<col width="100">
</colgroup>
<tbody>
<tr><td colspan="2" rowspan="1" data-sheets-value='{"1":2,"2":"Special &amp; interim div-adjusted div yield"}'>Special &amp; interim div-adjusted div yield</td></tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Common DPS (incl. special div)"}' data-sheets-formula="=R[-22]C[0]"><strong>Common DPS (incl. special div)</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1304}' data-sheets-numberformat='[null,4,"[$₩-412]#,##0"]' data-sheets-formula="=R[-22]C[0]-R[-12]C[2]"><strong>₩1,304</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" : Price"}'>: Price</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":72800}' data-sheets-numberformat='[null,4,"[$₩-412]#,##0"]' data-sheets-formula="=R[-22]C[0]">₩72,800</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" : Dividend yield"}'>: Dividend yield</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.017912087912087912}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=R[-2]C[0]/R[-1]C[0]">1.79%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"1P DPS (incl. special div)"}'><strong>1P DPS (incl. special div)</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1306}' data-sheets-numberformat='[null,4,"[$₩-412]#,##0"]' data-sheets-formula="=R[-22]C[0]-R[-15]C[2]"><strong>₩1,306</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" : Price"}'>: Price</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":68700}' data-sheets-numberformat='[null,4,"[$₩-412]#,##0"]' data-sheets-formula="=R[-22]C[0]">₩68,700</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" : Dividend yield"}'>: Dividend yield</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.01901018922852984}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=R[-2]C[0]/R[-1]C[0]">1.90%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Difference"}'>Difference</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"0.10%p"}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula='=left(((R[-1]C[0]-R[-4]C[0])*100), 4)&amp;"%"&amp;"p"'>0.10%p</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - 1P div. yield premium"}' data-sheets-numberformat='[null,2,"[$₩-412]#,##0",1]'>- 1P div. yield premium</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.06130504281976413}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=(R[-2]C[0]-R[-5]C[0])/R[-5]C[0]">6.13%</td>
</tr>
<tr><td colspan="2" rowspan="1" data-sheets-value='{"1":2,"2":"Source: DART, SEIBro, &amp; FnGuide"}'>Source: DART, SEIBro, &amp; FnGuide</td></tr>
</tbody>
</table><p>It is a 1.8% div yield at the current price (ord). Well, it is not too bad for two weeks of holding.</p><p>Then, the problem is, of course, hedging.</p><p>Samsung's single-stock futures are plenty in circulation, easily over 0.6x spot. But F 202001 is currently in severe backwardation at -1,300~-1,500, which is pretty much in line with the market consensus DPS to cancel each other.</p><table class="table table-striped">
<colgroup>
<col width="100">
<col width="100">
<col width="100">
<col width="100">
</colgroup>
<tbody>
<tr>
<td data-sheets-value='{"1":2,"2":"Date"}'>Date</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Spot"}'>Spot</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"F 202101"}'>F 202101</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Basis"}'>Basis</td>
</tr>
<tr>
<td data-sheets-value='{"1":3,"3":44182}' data-sheets-numberformat='[null,5,"m\"/\"d\"/\"yy"]'>12/17/20</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":72800}' data-sheets-numberformat='{"1":2,"2":"#,##0"}'>72,800</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":71300}' data-sheets-numberformat='{"1":2,"2":"#,##0"}'>71,300</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-1500}' data-sheets-numberformat='{"1":2,"2":"#,##0"}' data-sheets-formula="=R[0]C[-1]-R[0]C[-2]"><strong>-1,500</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":3,"3":44181}' data-sheets-numberformat='[null,5,"m\"/\"d\"/\"yy"]'>12/16/20</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":73800}' data-sheets-numberformat='{"1":2,"2":"#,##0"}'>73,800</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":72500}' data-sheets-numberformat='{"1":2,"2":"#,##0"}'>72,500</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-1300}' data-sheets-numberformat='{"1":2,"2":"#,##0"}' data-sheets-formula="=R[0]C[-1]-R[0]C[-2]"><strong>-1,300</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":3,"3":44180}' data-sheets-numberformat='[null,5,"m\"/\"d\"/\"yy"]'>12/15/20</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":73800}' data-sheets-numberformat='{"1":2,"2":"#,##0"}'>73,800</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":72500}' data-sheets-numberformat='{"1":2,"2":"#,##0"}'>72,500</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-1300}' data-sheets-numberformat='{"1":2,"2":"#,##0"}' data-sheets-formula="=R[0]C[-1]-R[0]C[-2]"><strong>-1,300</strong></td>
</tr>
<tr><td colspan="4" rowspan="1" data-sheets-value='{"1":2,"2":"Source: KRX"}'>Source: KRX</td></tr>
</tbody>
</table>

No concrete saying on Samsung's year-end special dividend yet.That means we should still expect an additional ₩6.5T to fill up to meet the 3-yr 50% FCF target, which then translates into a ₩1,304 year-end DPS (ord) based on the current street consensus.





Special &amp; interim div-adjusted div yield

Common DPS (incl. special div)
₩1,304


: Price
₩72,800


: Dividend yield
1.79%


1P DPS (incl. special div)
₩1,306


: Price
₩68,700


: Dividend yield
1.90%


Difference
0.10%p


- 1P div. yield premium
6.13%

Source: DART, SEIBro, &amp; FnGuide

It is a 1.8% div yield at the current price (ord). Well, it is not too bad for two weeks of holding.Then, the problem is, of course, hedging.Samsung's single-stock futures are plenty in circulation, easily over 0.6x spot. But F 202001 is currently in severe backwardation at -1,300~-1,500, which is pretty much in line with the market consensus DPS to cancel each other.








Date
Spot
F 202101
Basis


12/17/20
72,800
71,300
-1,500


12/16/20
73,800
72,500
-1,300


12/15/20
73,800
72,500
-1,300

Source: KRX



Samsung Dividend Situation Creates a Huge Futures Basis: Trade Approach to Capitalize on It

Semiconductors, Memory and SSDs Specialist, Objective Analysis

Jim Handy

Semiconductors, Memory and SSDs Specialist

Objective Analysis

Objective Analysis offers third-party independent market research and data for the semiconductor industry and investors in the semiconductor industry.

Semiconductors, Memory and SSDs

Thematic (Sector/Industry)

<p>In 2020 the semiconductor market defied the odds by thriving as a result of the COVID-19 pandemic, rather than suffering from it.  2021 is lining up to do similarly well, but the risk of a global economic collapse would drag the chip market in the opposite direction.  This Insight explores both possibilities.</p>

In 2020 the semiconductor market defied the odds by thriving as a result of the COVID-19 pandemic, rather than suffering from it.  2021 is lining up to do similarly well, but the risk of a global economic collapse would drag the chip market in the opposite direction.  This Insight explores both possibilities.

2021 High Conviction: Semiconductor Growth with COVID Risk

Overseas Chinese Equities, Aequitas Research

Ming Lu

Overseas Chinese Equities

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 Bottom-Up

<ul>
<li>The main competitor, Huawei Group, decided to sell one of its two smartphone brands.</li>
<li>Xiaomi took all the smartphone market share that Huawei Group left behind.</li>
<li>Xiaomi’s revenue growth rate jumped to 35% yoy in 3Q20 versus 3% yoy in 2Q20.</li>
<li>However, so far, we believe the company is slightly overvalued.</li>
</ul>


The main competitor, Huawei Group, decided to sell one of its two smartphone brands.
Xiaomi took all the smartphone market share that Huawei Group left behind.
Xiaomi’s revenue growth rate jumped to 35% yoy in 3Q20 versus 3% yoy in 2Q20.
However, so far, we believe the company is slightly overvalued.


Xiaomi (1810 HK): Taking Advantage of Huawei’s Sale of Smartphone Brand, But Overvalued

Samsung Electronics Pref Shares / Event-Driven

<p>Samsung 1P now sits at a 5.6% discount, which is, of course, an all-time low.</p><p>The 20D sigma is +2.5, making a 3 sigma move just on two trading days.</p><table class="table table-striped">
<colgroup>
<col width="70">
<col width="70">
</colgroup>
<tbody>
<tr><td colspan="2" rowspan="1" data-sheets-value='{"1":2,"2":"% of sigma"}'>% of sigma</td></tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Today"}'>Today</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":2.517259424016804}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=Data!R[-26]C[7]">251.73%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"T-1"}'>T-1</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1.9255158585598584}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=Data!R[-26]C[7]">192.55%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"T-2"}'>T-2</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-0.4760512302132772}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=Data!R[-26]C[7]">-47.61%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"T-3"}'>T-3</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.4911350310822193}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=Data!R[-26]C[7]">49.11%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"T-4"}'>T-4</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.2395746114046869}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=Data!R[-26]C[7]">23.96%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"T-5"}'>T-5</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.33902659344623726}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=Data!R[-26]C[7]">33.90%</td>
</tr>
<tr><td colspan="2" rowspan="1" data-sheets-value='{"1":2,"2":"Source: KRX"}'>Source: KRX</td></tr>
</tbody>
</table><table class="table table-striped">
<colgroup>
<col width="210">
<col width="70">
<col width="70">
<col width="70">
</colgroup>
<tbody>
<tr>
<td data-sheets-value='{"1":2,"2":"Metric"}' data-sheets-numberformat='{"1":2,"2":"#,##0"}'>Metric</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Price ratio"}' data-sheets-numberformat='{"1":2,"2":"#,##0"}'>Price ratio</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Discount"}' data-sheets-numberformat='{"1":2,"2":"#,##0"}'>Discount</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Δ"}' data-sheets-numberformat='{"1":2,"2":"#,##0"}'>Δ</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Today"}'>Today</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.944141689373297}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=Data!R[-35]C[2]">0.94414</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.055858310626702996}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=Data!R[-35]C[0]">5.59%</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"-"}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}'>-</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"120D mean"}'>120D mean</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.8807517345708635}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=average(Data!R2C4:R100C4)">0.88075</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.11924826542913641}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=average(Data!R2C3:R100C3)">11.92%</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.07197255743506373}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R37C[-2]-R[0]C[-2])/R[0]C[-2]">7.20%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"120D median"}'>120D median</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.8724137931034482}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=MEDIAN(Data!R2C4:R100C4)">0.87241</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.12758620689655173}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=MEDIAN(Data!R2C3:R100C3)">12.76%</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.08221774671247488}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R37C[-2]-R[0]C[-2])/R[0]C[-2]">8.22%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"120D high"}'>120D high</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.944141689373297}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=MAX(Data!R2C4:R100C4)">0.94414</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.1552901023890785}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=MAX(Data!R2C3:R100C3)">15.53%</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R37C[-2]-R[0]C[-2])/R[0]C[-2]">0.00%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"120D low"}'>120D low</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.8447098976109215}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=MIN(Data!R2C4:R100C4)">0.84471</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.055858310626702996}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=MIN(Data!R2C3:R100C3)">5.59%</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.11771117166212532}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R37C[-2]-R[0]C[-2])/R[0]C[-2]">11.77%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"1Y mean"}'>1Y mean</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.8631967757116901}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=average(Data!R2C4:R248C4)">0.86320</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.13680322428831074}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=average(Data!R2C3:R248C3)">13.68%</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.09377341984956945}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R37C[-2]-R[0]C[-2])/R[0]C[-2]">9.38%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"1Y median"}'>1Y median</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.8611955420466059}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=MEDIAN(Data!R2C4:R248C4)">0.86120</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.13880445795339413}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=MEDIAN(Data!R2C3:R248C3)">13.88%</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.09631511460169902}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R37C[-2]-R[0]C[-2])/R[0]C[-2]">9.63%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"1Y high"}'>1Y high</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.944141689373297}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=MAX(Data!R2C4:R248C4)">0.94414</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.19375}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=MAX(Data!R2C3:R248C3)">19.38%</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R37C[-2]-R[0]C[-2])/R[0]C[-2]">0.00%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"1Y low"}'>1Y low</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.80625}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=MIN(Data!R2C4:R248C4)">0.80625</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.055858310626702996}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=MIN(Data!R2C3:R248C3)">5.59%</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.17102845193587224}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R37C[-2]-R[0]C[-2])/R[0]C[-2]">17.10%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"2Y mean"}'>2Y mean</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.8403504527382868}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=average(Data!R2C4:R476C4)">0.84035</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.15964954726171324}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=average(Data!R2C3:R476C3)">15.96%</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.1235094671476714}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R37C[-2]-R[0]C[-2])/R[0]C[-2]">12.35%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"2Y median"}'>2Y median</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.8325991189427313}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=MEDIAN(Data!R2C4:R476C4)">0.83260</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.16740088105726872}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=MEDIAN(Data!R2C3:R476C3)">16.74%</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.13396911898274294}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R37C[-2]-R[0]C[-2])/R[0]C[-2]">13.40%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"2Y high"}'>2Y high</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.944141689373297}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=MAX(Data!R2C4:R476C4)">0.94414</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.21040723981900453}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=MAX(Data!R2C3:R476C3)">21.04%</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R37C[-2]-R[0]C[-2])/R[0]C[-2]">0.00%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"2Y low"}'>2Y low</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.7895927601809954}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=MIN(Data!R2C4:R476C4)">0.78959</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.055858310626702996}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=MIN(Data!R2C3:R476C3)">5.59%</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.19573245473638193}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R37C[-2]-R[0]C[-2])/R[0]C[-2]">19.57%</td>
</tr>
<tr><td colspan="4" rowspan="1" data-sheets-value='{"1":2,"2":"Source: KRX"}'>Source: KRX</td></tr>
</tbody>
</table><section class="figure"><figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/178/161/original/chart%20%282%29.png?1607898160" class="editor-image img-responsive" data-smartkarma-image-id="178161"></figure></section><section class="figure"><figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/178/162/original/chart%20%283%29.png?1607898169" class="editor-image img-responsive" data-smartkarma-image-id="178162"></figure></section>

Samsung 1P now sits at a 5.6% discount, which is, of course, an all-time low.The 20D sigma is +2.5, making a 3 sigma move just on two trading days.





% of sigma

Today
251.73%


T-1
192.55%


T-2
-47.61%


T-3
49.11%


T-4
23.96%


T-5
33.90%

Source: KRX










Metric
Price ratio
Discount
Δ


Today
0.94414
5.59%
-


120D mean
0.88075
11.92%
7.20%


120D median
0.87241
12.76%
8.22%


120D high
0.94414
15.53%
0.00%


120D low
0.84471
5.59%
11.77%


1Y mean
0.86320
13.68%
9.38%


1Y median
0.86120
13.88%
9.63%


1Y high
0.94414
19.38%
0.00%


1Y low
0.80625
5.59%
17.10%


2Y mean
0.84035
15.96%
12.35%


2Y median
0.83260
16.74%
13.40%


2Y high
0.94414
21.04%
0.00%


2Y low
0.78959
5.59%
19.57%

Source: KRX



Samsung 1P Discount Sets a New All-Time Low at 5.6%: Main Factor Behind It

24 local brokerages cover Samsung Electronics. FnGuide tracks them, and the consensus now sits at a ₩37.01T full-year OP.










FnGuide consensus (₩B)
2020. 12. 14
T-1M
T-3M
T-6M
T-1Y


Sales
238,193.5
238,680.4
233,927.8
231,198.0
255,507.1


OP
37,013.8
37,207.4
32,862.2
32,261.0
37,529.6


NP to controlling stake
27,564.8
27,710.8
24,778.3
24,912.5
29,005.9


EPS (₩)
4,058
4,080
3,648
3,668
4,270


PER (x)
18.10
15.50
16.20
14.30
12.80


12M PER (x)
14.30
12.50
12.94
11.85
12.81


TP (₩)
81,967
76,400
72,592
65,000
61,477

Source: FnGuide

How Samsung would calculate FCF remains a secret. But the below widely-accepted formula shows that Samsung will likely be 10%p short of hitting the 3-yr 50% target.It will leave a ₩6.5T room to fill up. Assuming full allocation to special dividends, I expect a ₩950 special dividend for ord (₩951 for 1P).* The median FCF of the 24 local brokerages also falls on ₩6.8T.









3-yr shareholder return as a % of FCF (₩T)
2018
2019
2020E
3-yr total


FCF
28.9
14.1
27.6
70.7


1. OCF
91.1
62.3
79.7
233.1


1.1 After-tax OP
42.7
19.8
26.4
-


- OP
58.9
27.8
37.0
-


- Effective tax rate
27.49%
28.57%
28.57%
-


1.2 Expenses not involving cash outflows
48.4
42.4
53.3
-


2. Investment
62.2
48.1
52.1
-


2.1 Invested capital
36.4
36.1
38.2
-


- Non-current assets (ending)
164.7
171.2
179.7
-


- Non-current assets (beginning)
154.8
164.7
171.2
-


- D&amp;A
26.5
29.6
29.6
-


2.2 Δ NOWC
25.8
12.0
14.0
-


- Current assets
174.7
181.4
193.4
-


- Current liabilities
69.1
63.8
61.9
-


- NOWC
105.6
117.6
131.6
-


Dividends
9.6
9.6
9.6
28.9


- Dividends as a % of FCF
33.24%
68.00%
34.87%
40.83%


Buyback
0
0
0
0.0


- Buyback as a % of FCF
0.00%
0.00%
0.00%
0.00%


Dividends+buyback
9.6
9.6
9.6
28.9


- Dividends+buyback as a % of FCF
33.24%
68.00%
34.87%
40.83%

Source: DART, SEIBro, &amp; FnGuide







3-yr shareholder return as a % of FCF (₩T)

FCF
70.7


: 50%
35.3


Dividends+buyback
28.9


: Room to fill up
6.5

Source: DART, SEIBro, &amp; FnGuide







Special dividends (₩T)

Room to fill up
6.5


Common DPS
₩950


: Dividends
5.7


1P DPS
₩951


: Dividends
0.8


Total dividends
6.5

Source: DART, SEIBro, &amp; FnGuide

Full-year div yield will be 3.22% for ord and 3.42% for 1P. Interim div-adjusted yield will sit at 1.78% for ord and 1.88% for 1P.





Special div-adjusted div yield (₩T)

Common DPS (incl. special div)
₩2,366


: Price
₩73,400


: Dividend yield
3.22%


1P DPS
₩2,368


: Price
₩69,300


: Dividend yield
3.42%

Source: DART, SEIBro, &amp; FnGuide







Special &amp; interim div-adjusted div yield

Common DPS (incl. special div)
₩1,304


: Price
₩73,400


: Dividend yield
1.78%


1P DPS (incl. special div)
₩1,306


: Price
₩69,300


: Dividend yield
1.88%

Source: DART, SEIBro, &amp; FnGuide



South Korea

Samsung Electronics Co., Ltd. manufactures a wide range of consumer and industrial electronic equipment and products such as semiconductors, personal computers, peripherals, monitors, televisions, and home appliances including air conditioners and microwave ovens. The Company also produces Internet access network systems and telecommunications equipment including mobile phones.

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

Samsung Electronics (SMSN LI)

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