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

Sanghyun Park

Korea / Special Sits, Pairs, Index Rebalancing

Event-Driven

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



Founder/CEO of ROK Advisory, ROK Advisory LLC

Ken S. Kim

Founder/CEO of ROK Advisory

ROK Advisory LLC

ROK is an independent research advisory firm. We guide you to minimize the information gap between foreign and local investors in Northeast Asia with a focus in Korea, Taiwan and Japan.

Independent Research Advisory Firm

Thematic (Sector/Industry)

<p>There has been talks that Sammy capital expenditure ("capex) will be lower vs. their original guide due to an equipment manufacturers conservative guidance due to uncertainty in 2H21.   Is <a href="https://www.smartkarma.com/entities/samsung-electronics-co-ltd" target="_blank" data-smartkarma-citation="entities:191:1" rel="noopener">Samsung Electronics (005930 KS)</a> cutting up to 20% of their original capital expenditure guidance or is there something else to this? The latter in my view. </p>

There has been talks that Sammy capital expenditure ("capex) will be lower vs. their original guide due to an equipment manufacturers conservative guidance due to uncertainty in 2H21.   Is Samsung Electronics (005930 KS) cutting up to 20% of their original capital expenditure guidance or is there something else to this? The latter in my view. 

Is Samsung Electronics Cutting 2021 Capex with Its New Leadership Change?

Managing Director

Elan Gore

TMI Data Science

TMI Data Science utilizes Natural Language Processing to build custom leading indicators using unstructured data sourced from the global financial, trade & traditional media.  Our proprietary software, TMI Machine, is a text-mining platform designed with the buy-side & capital markets professional in mind, text-mining the global media to discern and quantify nuanced qualitative shifts in press coverage as they apply to macroeconomics, equity indexes/ETFs, commodities, currencies, fixed income & individual equities.  TMI provides custom leading indicators and systematic trading strategies, operating at the nexus of linguistics & statistics drawing on vast experience in investment banking and hedge fund settings in senior quantitative and fundamental roles.  

TMI Data Science was founded by Elan Gore, an award-winning Senior Global Basic Materials Equity Analyst & China Economist with 15 years of experience in North American hedge funds & institutional managers; and Alessandro Porrino, Ph.D., an Algorithmic Trading Analyst and Programmer with 10 years of front-office experience ranging from complex FX option pricing to auto-hedging strategies at Bank of America Merrill Lynch and Standard Chartered.  Mr. Gore holds an MBA in Finance from New York University Stern School of Business, and Mr. Porrino holds a Ph.D. in Systems Engineering from Brunel University London.

Cross Asset Strategy

<ul>
<li>While short-term data has been out of favour as the market envisions a post-vaccine supercycle, our text-mining detects greater relative concern on Korean in the financial media over KRW strength and COVID case counts in recent weeks</li>
<li>Japan, for example, saw similar concerns emerge on surging case counts, but news sentiment has been supported by the recent 40tr JPY stimulus package vs. limited Korean measures</li>
<li>KRW/USD's +10% move is equivalent +2x STDEVs, similar to the magnitude of CNY appreciation in the same period, vs. low single-digit moves in JPY and TWD</li>
<li>Consensus suggests foreign inflows associated with a strong KRW are likely to push the KOSPI higher even if exporter earnings (and exports) are hampered by the currency</li>
<li>While we acknowledge the macro impact of COVID resurgence is merely transitory, a key driver in our recent news attribution is the sharp decline in Korean credit card spending as reported by Shinhan for the second half of November</li>
<li>Less transitory is the KRW, and 801 Korean exporters recent polled by the Korea International Trade Association (KITA) suggested the currency is already beyond their pain threshold</li>
</ul><div class="content-highlight"><p>TMI Data Science utilizes Natural Language Processing to build custom leading indicators using unstructured data sourced from the global financial, trade &amp; traditional media. Our proprietary software text-mines the global media to discern and quantify nuanced qualitative shifts in press coverage as they apply to macroeconomics, equity indexes/ETFs, commodities, currencies, fixed income &amp; individual equities. </p></div>


While short-term data has been out of favour as the market envisions a post-vaccine supercycle, our text-mining detects greater relative concern on Korean in the financial media over KRW strength and COVID case counts in recent weeks
Japan, for example, saw similar concerns emerge on surging case counts, but news sentiment has been supported by the recent 40tr JPY stimulus package vs. limited Korean measures
KRW/USD's +10% move is equivalent +2x STDEVs, similar to the magnitude of CNY appreciation in the same period, vs. low single-digit moves in JPY and TWD
Consensus suggests foreign inflows associated with a strong KRW are likely to push the KOSPI higher even if exporter earnings (and exports) are hampered by the currency
While we acknowledge the macro impact of COVID resurgence is merely transitory, a key driver in our recent news attribution is the sharp decline in Korean credit card spending as reported by Shinhan for the second half of November
Less transitory is the KRW, and 801 Korean exporters recent polled by the Korea International Trade Association (KITA) suggested the currency is already beyond their pain threshold
TMI Data Science utilizes Natural Language Processing to build custom leading indicators using unstructured data sourced from the global financial, trade &amp; traditional media. Our proprietary software text-mines the global media to discern and quantify nuanced qualitative shifts in press coverage as they apply to macroeconomics, equity indexes/ETFs, commodities, currencies, fixed income &amp; individual equities. 

TMI Snapshot:  Text-Mining Detects Potential Pullback in Korea Sentiment on KRW Rally & COVID Surge

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

Brian Freitas

Pan-Asia Index Rebalances/ Events/ Delta One

Quantitative Analysis

<div><p>The Asia Short Interest weekly looks at moves in market wide short interest and highlights movements in stock specific short interest across Hong Kong, Japan, Korea and Taiwan using the last available data published by the relevant authorities.</p></div><div><p>Hong Kong saw shorts rise on <a href="https://www.smartkarma.com/entities/ping-an-insurance-grp-co-of-china-ltd" target="_blank" data-smartkarma-citation="entities:12880:1" rel="noopener">Ping An Insurance (H) (2318 HK)</a>, <a href="https://www.smartkarma.com/entities/meituan-dianping" target="_blank" data-smartkarma-citation="entities:26970:1" rel="noopener">Meituan (3690 HK)</a>, <a href="https://www.smartkarma.com/entities/xiaomi-corp" target="_blank" data-smartkarma-citation="entities:24409:1" rel="noopener">Xiaomi Corp (1810 HK)</a> and <a href="https://www.smartkarma.com/entities/anta-sports-products-ltd" target="_blank" data-smartkarma-citation="entities:10261:1" rel="noopener">Anta Sports Products (2020 HK)</a> while there was short covering on <a href="https://www.smartkarma.com/entities/tencent-holdings-ltd" target="_blank" data-smartkarma-citation="entities:26:1" rel="noopener">Tencent Holdings (700 HK)</a>, <a href="https://www.smartkarma.com/entities/china-construction-bank-h" target="_blank" data-smartkarma-citation="entities:45:1" rel="noopener">China Construction Bank H (939 HK)</a>, <a href="https://www.smartkarma.com/entities/sunac-china-holdings-ltd" target="_blank" data-smartkarma-citation="entities:240:1" rel="noopener">Sunac China Holdings (1918 HK)</a> and <a href="https://www.smartkarma.com/entities/hsbc-holdings-plc" target="_blank" data-smartkarma-citation="entities:516:1" rel="noopener">HSBC Holdings (5 HK)</a>. Shorts decreased in most sectors led by Communication Services, Financials, Industrials, Real Estate, Energy and Utilities.</p></div><div><p>In Japan, stocks that saw the most shorts were <a href="https://www.smartkarma.com/entities/ana-holdings-inc" target="_blank" data-smartkarma-citation="entities:5308:1" rel="noopener">Ana Holdings (9202 JP)</a>, <a href="https://www.smartkarma.com/entities/suzuki-motor-corp" target="_blank" data-smartkarma-citation="entities:732:1" rel="noopener">Suzuki Motor (7269 JP)</a>, <a href="https://www.smartkarma.com/entities/shionogi-co-ltd" target="_blank" data-smartkarma-citation="entities:19535:1" rel="noopener">Shionogi &amp; Co (4507 JP)</a> and <a href="https://www.smartkarma.com/entities/mitsubishi-ufj-financial-group" target="_blank" data-smartkarma-citation="entities:218:1" rel="noopener">Mitsubishi UFJ Financial (MUFG) (8306 JP)</a> while shorts decreased on <a href="https://www.smartkarma.com/entities/fast-retailing-co-ltd" target="_blank" data-smartkarma-citation="entities:751:1" rel="noopener">Fast Retailing (9983 JP)</a>, <a href="https://www.smartkarma.com/entities/tokyo-electron-ltd" target="_blank" data-smartkarma-citation="entities:280:1" rel="noopener">Tokyo Electron (8035 JP)</a>, <a href="https://www.smartkarma.com/entities/canon-inc" target="_blank" data-smartkarma-citation="entities:1:1" rel="noopener">Canon Inc (7751 JP)</a> and <a href="https://www.smartkarma.com/entities/tdk-corp" target="_blank" data-smartkarma-citation="entities:18847:1" rel="noopener">TDK Corp (6762 JP)</a>. Sectorally, shorts increased on Industrials, Health Care, Financials and Consumer Discretionary names.</p></div><div><p>In Korea, there was large short covering on <a href="https://www.smartkarma.com/entities/celltrion-inc" target="_blank" data-smartkarma-citation="entities:991:1" rel="noopener">Celltrion Inc (068270 KS)</a>, <a href="https://www.smartkarma.com/entities/samsung-biologics-co-ltd" target="_blank" data-smartkarma-citation="entities:22932:1" rel="noopener">Samsung Biologics Co., (207940 KS)</a>, <a href="https://www.smartkarma.com/entities/samsung-electronics-co-ltd" target="_blank" data-smartkarma-citation="entities:191:1" rel="noopener">Samsung Electronics (005930 KS)</a> and <a href="https://www.smartkarma.com/entities/sk-hynix-inc" target="_blank" data-smartkarma-citation="entities:16955:1" rel="noopener">SK Hynix (000660 KS)</a>. </p></div><div><p>Stocks in Taiwan that saw the highest increase in shorts were <a href="https://www.smartkarma.com/entities/evergreen-marine-corp-ltd" target="_blank" data-smartkarma-citation="entities:15428:1" rel="noopener">Evergreen Marine Corp (2603 TT)</a>, <a href="https://www.smartkarma.com/entities/largan-precision-co-ltd" target="_blank" data-smartkarma-citation="entities:9126:1" rel="noopener">Largan Precision (3008 TT)</a>, <a href="https://www.smartkarma.com/entities/united-microelectronics-corp" target="_blank" data-smartkarma-citation="entities:6450:1" rel="noopener">United Microelectronics Corp (2303 TT)</a> and <a href="https://www.smartkarma.com/entities/compeq-manufacturing-co-ltd" target="_blank" data-smartkarma-citation="entities:9306:1" rel="noopener">Compeq Manufacturing (2313 TT)</a> while shorts were covered on <a href="https://www.smartkarma.com/entities/taiwan-semiconductor-manufacturing-company" target="_blank" data-smartkarma-citation="entities:11230:1" rel="noopener">TSMC (2330 TT)</a>, <a href="https://www.smartkarma.com/entities/winbond-electronics-corp" target="_blank" data-smartkarma-citation="entities:9177:1" rel="noopener">Winbond Electronics (2344 TT)</a>, <a href="https://www.smartkarma.com/entities/unimicron-technology-corp" target="_blank" data-smartkarma-citation="entities:18778:1" rel="noopener">Unimicron Technology (3037 TT)</a> and <a href="https://www.smartkarma.com/entities/nanya-technology-corp" target="_blank" data-smartkarma-citation="entities:3269:1" rel="noopener">Nanya Technology (2408 TT)</a>. </p></div>

The Asia Short Interest weekly looks at moves in market wide short interest and highlights movements in stock specific short interest across Hong Kong, Japan, Korea and Taiwan using the last available data published by the relevant authorities.Hong Kong saw shorts rise on Ping An Insurance (H) (2318 HK), Meituan (3690 HK), Xiaomi Corp (1810 HK) and Anta Sports Products (2020 HK) while there was short covering on Tencent Holdings (700 HK), China Construction Bank H (939 HK), Sunac China Holdings (1918 HK) and HSBC Holdings (5 HK). Shorts decreased in most sectors led by Communication Services, Financials, Industrials, Real Estate, Energy and Utilities.In Japan, stocks that saw the most shorts were Ana Holdings (9202 JP), Suzuki Motor (7269 JP), Shionogi &amp; Co (4507 JP) and Mitsubishi UFJ Financial (MUFG) (8306 JP) while shorts decreased on Fast Retailing (9983 JP), Tokyo Electron (8035 JP), Canon Inc (7751 JP) and TDK Corp (6762 JP). Sectorally, shorts increased on Industrials, Health Care, Financials and Consumer Discretionary names.In Korea, there was large short covering on Celltrion Inc (068270 KS), Samsung Biologics Co., (207940 KS), Samsung Electronics (005930 KS) and SK Hynix (000660 KS). Stocks in Taiwan that saw the highest increase in shorts were Evergreen Marine Corp (2603 TT), Largan Precision (3008 TT), United Microelectronics Corp (2303 TT) and Compeq Manufacturing (2313 TT) while shorts were covered on TSMC (2330 TT), Winbond Electronics (2344 TT), Unimicron Technology (3037 TT) and Nanya Technology (2408 TT). 

Asia Short Interest: BIG Covering in HK & Korea

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.

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