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

Equity Bottom-Up

<div>While the details are scarce, local press is reporting that SKT and AMZN has been in talks for more than a year and would allow really an export/import biz on both of their channels (ie Korean products to be bought by US consumers and US products to be bought thru 11th St (SK's ecommerce portal) for Koreans. </div><div></div><div>This can't be good for the ecommerce players in Korea.  In the US, if you hear that AMZN is coming in whatever business, the whole sector falls.   Is Naver next? </div>

While the details are scarce, local press is reporting that SKT and AMZN has been in talks for more than a year and would allow really an export/import biz on both of their channels (ie Korean products to be bought by US consumers and US products to be bought thru 11th St (SK's ecommerce portal) for Koreans. This can't be good for the ecommerce players in Korea.  In the US, if you hear that AMZN is coming in whatever business, the whole sector falls.   Is Naver next? 

AMZN into Korea - "We Are Not Here to Take Part, We're Here to Take Over!"

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

Sanghyun Park

Korea / Special Sits, Pairs, Index Rebalancing

Event-Driven

<p>The Amore duo made a 1.5σ move downwardly.</p><p>They are now at -2.5σ on a 20D MA, the lowest sigma since mid-March.</p><table class="table table-striped">
<colgroup>
<col width="300">
<col width="300">
</colgroup>
<tbody>
<tr><td colspan="2" rowspan="1" data-sheets-numberformat='{"1":2,"2":"#,##0"}' 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-formula="=Data!R[0]C[6]" data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-value='{"1":3,"3":-2.429581591306318}'>-242.96%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"T-1"}'>T-1</td>
<td style="text-align: right;" data-sheets-formula="=Data!R[0]C[6]" data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-value='{"1":3,"3":-0.9108015534530095}'>-91.08%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"T-2"}'>T-2</td>
<td style="text-align: right;" data-sheets-formula="=Data!R[0]C[6]" data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-value='{"1":3,"3":-0.7066876752829078}'>-70.67%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"T-3"}'>T-3</td>
<td style="text-align: right;" data-sheets-formula="=Data!R[0]C[6]" data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-value='{"1":3,"3":-1.7200972716651508}'>-172.01%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"T-4"}'>T-4</td>
<td style="text-align: right;" data-sheets-formula="=Data!R[0]C[6]" data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-value='{"1":3,"3":-1.541532078833072}'>-154.15%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"T-5"}'>T-5</td>
<td style="text-align: right;" data-sheets-formula="=Data!R[0]C[6]" data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-value='{"1":3,"3":-2.0935650379435686}'>-209.36%</td>
</tr>
<tr><td colspan="2" rowspan="1" data-sheets-value='{"1":2,"2":"Source: KRX"}'><em>Source: KRX</em></td></tr>
</tbody>
</table><figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/163/517/original/chart.png?1601940494" class="editor-image img-responsive" data-smartkarma-image-id="163517"></figure><p></p><p>The price ratio is 0.29172, again the 120D low, and pretty much at the bottom on the 1-yr and 2-yr horizons.</p><table class="table table-striped">
<colgroup>
<col width="300">
<col width="150">
<col width="150">
</colgroup>
<tbody>
<tr><td colspan="3" rowspan="1" data-sheets-numberformat='{"1":2,"2":"#,##0"}' data-sheets-value='{"1":2,"2":"Price ratio"}'>Price ratio</td></tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Today"}'>Today</td>
<td style="text-align: right;" data-sheets-formula="=Data!R[-9]C[1]" data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-value='{"1":3,"3":0.2917159763313609}'>0.29172</td>
<td style="text-align: right;" data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-value='{"1":2,"2":"-"}'>-</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"20D MA"}'>20D MA</td>
<td style="text-align: right;" data-sheets-formula="=Data!R[-10]C[2]" data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-value='{"1":3,"3":0.30027125224527756}'>0.30027</td>
<td style="text-align: right;" data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-value='{"1":2,"2":"-"}'>-</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"σ"}'>σ</td>
<td style="text-align: right;" data-sheets-formula="=Data!R[-11]C[5]" data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-value='{"1":3,"3":0.0035212959896179924}'>0.00352</td>
<td style="text-align: right;" data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-value='{"1":2,"2":"-"}'>-</td>
</tr>
<tr>
<td data-sheets-formula='="+1 σ"' data-sheets-value='{"1":2,"2":"+1 σ"}'>+1 σ</td>
<td style="text-align: right;" data-sheets-formula="=Data!R[-12]C[3]" data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-value='{"1":3,"3":0.30379254823489554}'>0.30379</td>
<td style="text-align: right;" data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-value='{"1":2,"2":"-"}'>-</td>
</tr>
<tr>
<td data-sheets-formula='="-1 σ"' data-sheets-value='{"1":2,"2":"-1 σ"}'>-1 σ</td>
<td style="text-align: right;" data-sheets-formula="=Data!R[-13]C[4]" data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-value='{"1":3,"3":0.2967499562556596}'>0.29675</td>
<td style="text-align: right;" data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-value='{"1":2,"2":"-"}'>-</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"120D mean"}'>120D mean</td>
<td style="text-align: right;" data-sheets-formula="=average(Data!R2C3:R100C3)" data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-value='{"1":3,"3":0.31677247244474827}'>0.31677</td>
<td style="text-align: right;" data-sheets-formula="=(R11C[-1]-R[0]C[-1])/R[0]C[-1]" data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-value='{"1":3,"3":-0.07909934824831635}'>-7.91%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"120D median"}'>120D median</td>
<td style="text-align: right;" data-sheets-formula="=MEDIAN(Data!R2C3:R100C3)" data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-value='{"1":3,"3":0.31954674220963175}'>0.31955</td>
<td style="text-align: right;" data-sheets-formula="=(R11C[-1]-R[0]C[-1])/R[0]C[-1]" data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-value='{"1":3,"3":-0.08709450669352482}'>-8.71%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"120D high"}'>120D high</td>
<td style="text-align: right;" data-sheets-formula="=MAX(Data!R2C3:R100C3)" data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-value='{"1":3,"3":0.35460122699386504}'>0.35460</td>
<td style="text-align: right;" data-sheets-formula="=(R11C[-1]-R[0]C[-1])/R[0]C[-1]" data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-value='{"1":3,"3":-0.17734075878872266}'>-17.73%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"120D low"}'>120D low</td>
<td style="text-align: right;" data-sheets-formula="=MIN(Data!R2C3:R100C3)" data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-value='{"1":3,"3":0.2917159763313609}'>0.29172</td>
<td style="text-align: right;" data-sheets-formula="=(R11C[-1]-R[0]C[-1])/R[0]C[-1]" data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-value='{"1":3,"3":0}'>0.00%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"1Y mean"}'>1Y mean</td>
<td style="text-align: right;" data-sheets-formula="=average(Data!R2C3:R248C3)" data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-value='{"1":3,"3":0.3586212800433788}'>0.35862</td>
<td style="text-align: right;" data-sheets-formula="=(R11C[-1]-R[0]C[-1])/R[0]C[-1]" data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-value='{"1":3,"3":-0.18656255898680915}'>-18.66%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"1Y median"}'>1Y median</td>
<td style="text-align: right;" data-sheets-formula="=MEDIAN(Data!R2C3:R248C3)" data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-value='{"1":3,"3":0.3383233532934132}'>0.33832</td>
<td style="text-align: right;" data-sheets-formula="=(R11C[-1]-R[0]C[-1])/R[0]C[-1]" data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-value='{"1":3,"3":-0.13775985756925177}'>-13.78%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"1Y high"}'>1Y high</td>
<td style="text-align: right;" data-sheets-formula="=MAX(Data!R2C3:R248C3)" data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-value='{"1":3,"3":0.49379310344827587}'>0.49379</td>
<td style="text-align: right;" data-sheets-formula="=(R11C[-1]-R[0]C[-1])/R[0]C[-1]" data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-value='{"1":3,"3":-0.40923440547419926}'>-40.92%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"1Y low"}'>1Y low</td>
<td style="text-align: right;" data-sheets-formula="=MIN(Data!R2C3:R248C3)" data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-value='{"1":3,"3":0.27456140350877195}'>0.27456</td>
<td style="text-align: right;" data-sheets-formula="=(R11C[-1]-R[0]C[-1])/R[0]C[-1]" data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-value='{"1":3,"3":0.06247991379473301}'>6.25%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"2Y mean"}'>2Y mean</td>
<td style="text-align: right;" data-sheets-formula="=average(Data!R2C3:R476C3)" data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-value='{"1":3,"3":0.3702846260858406}'>0.37028</td>
<td style="text-align: right;" data-sheets-formula="=(R11C[-1]-R[0]C[-1])/R[0]C[-1]" data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-value='{"1":3,"3":-0.2121844770737677}'>-21.22%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"2Y median"}'>2Y median</td>
<td style="text-align: right;" data-sheets-formula="=MEDIAN(Data!R2C3:R476C3)" data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-value='{"1":3,"3":0.36861702127659574}'>0.36862</td>
<td style="text-align: right;" data-sheets-formula="=(R11C[-1]-R[0]C[-1])/R[0]C[-1]" data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-value='{"1":3,"3":-0.2086204393896702}'>-20.86%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"2Y high"}'>2Y high</td>
<td style="text-align: right;" data-sheets-formula="=MAX(Data!R2C3:R476C3)" data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-value='{"1":3,"3":0.49379310344827587}'>0.49379</td>
<td style="text-align: right;" data-sheets-formula="=(R11C[-1]-R[0]C[-1])/R[0]C[-1]" data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-value='{"1":3,"3":-0.40923440547419926}'>-40.92%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"2Y low"}'>2Y low</td>
<td style="text-align: right;" data-sheets-formula="=MIN(Data!R2C3:R476C3)" data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-value='{"1":3,"3":0.27456140350877195}'>0.27456</td>
<td style="text-align: right;" data-sheets-formula="=(R11C[-1]-R[0]C[-1])/R[0]C[-1]" data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-value='{"1":3,"3":0.06247991379473301}'>6.25%</td>
</tr>
<tr><td colspan="3" rowspan="1" data-sheets-value='{"1":2,"2":"Source: KRX"}'><em>Source: KRX</em></td></tr>
</tbody>
</table><figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/163/514/original/chart%20%281%29.png?1601939903" class="editor-image img-responsive" data-smartkarma-image-id="163514"></figure>

The Amore duo made a 1.5σ move downwardly.They are now at -2.5σ on a 20D MA, the lowest sigma since mid-March.





% of sigma

Today
-242.96%


T-1
-91.08%


T-2
-70.67%


T-3
-172.01%


T-4
-154.15%


T-5
-209.36%

Source: KRX

The price ratio is 0.29172, again the 120D low, and pretty much at the bottom on the 1-yr and 2-yr horizons.






Price ratio

Today
0.29172
-


20D MA
0.30027
-


σ
0.00352
-


+1 σ
0.30379
-


-1 σ
0.29675
-


120D mean
0.31677
-7.91%


120D median
0.31955
-8.71%


120D high
0.35460
-17.73%


120D low
0.29172
0.00%


1Y mean
0.35862
-18.66%


1Y median
0.33832
-13.78%


1Y high
0.49379
-40.92%


1Y low
0.27456
6.25%


2Y mean
0.37028
-21.22%


2Y median
0.36862
-20.86%


2Y high
0.49379
-40.92%


2Y low
0.27456
6.25%

Source: KRX



Amore Stub At -2.5σ & Wang Yi's Cancelled Visit: Entry Point for Range Trading

<p>Amore holding company is now at -2.1σ on a 20D MA relative to Amorepacific.</p><table class="table table-striped">
<colgroup>
<col width="300">
<col width="300">
<col width="300">
</colgroup>
<tbody>
<tr><td colspan="3" rowspan="1" data-sheets-value='{"1":2,"2":"% of sigma"}' data-sheets-numberformat='{"1":2,"2":"#,##0"}'>% of sigma</td></tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Today"}'>Today</td>
<td colspan="2" rowspan="1" style="text-align: right;" data-sheets-value='{"1":3,"3":-2.0935650379435686}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=Data!R[0]C[6]">-209.36%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"T-1"}'>T-1</td>
<td colspan="2" rowspan="1" style="text-align: right;" data-sheets-value='{"1":3,"3":-1.189723840254671}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=Data!R[0]C[6]">-118.97%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"T-2"}'>T-2</td>
<td colspan="2" rowspan="1" style="text-align: right;" data-sheets-value='{"1":3,"3":-0.432176134420178}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=Data!R[0]C[6]">-43.22%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"T-3"}'>T-3</td>
<td colspan="2" rowspan="1" style="text-align: right;" data-sheets-value='{"1":3,"3":-1.219149193133675}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=Data!R[0]C[6]">-121.91%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"T-4"}'>T-4</td>
<td colspan="2" rowspan="1" style="text-align: right;" data-sheets-value='{"1":3,"3":0.261794857719485}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=Data!R[0]C[6]">26.18%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"T-5"}'>T-5</td>
<td colspan="2" rowspan="1" style="text-align: right;" data-sheets-value='{"1":3,"3":-1.2072576106460915}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=Data!R[0]C[6]">-120.73%</td>
</tr>
<tr><td colspan="3" rowspan="1" data-sheets-value='{"1":2,"2":"Source: KRX"}'><em>Source: KRX</em></td></tr>
</tbody>
</table><p>The price ratio currently sits at 0.296, a new 120D low, and pretty close to the 2Y low.</p><p>It is 6.8% down from the 120D mean and 16.4% down from the 120D high.</p><table class="table table-striped">
<colgroup>
<col width="300">
<col width="300">
<col width="300">
</colgroup>
<tbody>
<tr><td colspan="3" rowspan="1" data-sheets-value='{"1":2,"2":"Price ratio"}' data-sheets-numberformat='{"1":2,"2":"#,##0"}'>Price ratio</td></tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Today"}'>Today</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.2963076923076923}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=Data!R[-9]C[1]">0.29631</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":"20D MA"}'>20D MA</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.30229664561059055}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=Data!R[-10]C[2]">0.30230</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":"σ"}'>σ</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.0028606483172746106}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=Data!R[-11]C[5]">0.00286</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":"+1 σ"}' data-sheets-formula='="+1 σ"'>+1 σ</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.30515729392786517}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=Data!R[-12]C[3]">0.30516</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":"-1 σ"}' data-sheets-formula='="-1 σ"'>-1 σ</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.29943599729331594}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=Data!R[-13]C[4]">0.29944</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":0.3178130338953685}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=average(Data!R2C3:R100C3)">0.31781</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-0.06766664451765769}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R11C[-1]-R[0]C[-1])/R[0]C[-1]">-6.77%</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":0.31954674220963175}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=MEDIAN(Data!R2C3:R100C3)">0.31955</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-0.07272504091653029}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R11C[-1]-R[0]C[-1])/R[0]C[-1]">-7.27%</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":0.35460122699386504}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=MAX(Data!R2C3:R100C3)">0.35460</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-0.1643918019696566}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R11C[-1]-R[0]C[-1])/R[0]C[-1]">-16.44%</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":0.2963076923076923}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=MIN(Data!R2C3:R100C3)">0.29631</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="=(R11C[-1]-R[0]C[-1])/R[0]C[-1]">0.00%</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":0.36200240542223466}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=average(Data!R2C3:R248C3)">0.36200</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-0.1814759021778237}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R11C[-1]-R[0]C[-1])/R[0]C[-1]">-18.15%</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":0.3412790697674419}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=MEDIAN(Data!R2C3:R248C3)">0.34128</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-0.1317730310575285}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R11C[-1]-R[0]C[-1])/R[0]C[-1]">-13.18%</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":0.49379310344827587}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=MAX(Data!R2C3:R248C3)">0.49379</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-0.39993553932101417}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R11C[-1]-R[0]C[-1])/R[0]C[-1]">-39.99%</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":0.27456140350877195}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=MIN(Data!R2C3:R248C3)">0.27456</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.07920373556156303}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R11C[-1]-R[0]C[-1])/R[0]C[-1]">7.92%</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":0.3713260609712572}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=average(Data!R2C3:R476C3)">0.37133</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-0.2020282887426308}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R11C[-1]-R[0]C[-1])/R[0]C[-1]">-20.20%</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":0.3689655172413793}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=MEDIAN(Data!R2C3:R476C3)">0.36897</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-0.1969230769230769}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R11C[-1]-R[0]C[-1])/R[0]C[-1]">-19.69%</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":0.49379310344827587}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=MAX(Data!R2C3:R476C3)">0.49379</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-0.39993553932101417}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R11C[-1]-R[0]C[-1])/R[0]C[-1]">-39.99%</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":0.27456140350877195}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}' data-sheets-formula="=MIN(Data!R2C3:R476C3)">0.27456</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.07920373556156303}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=(R11C[-1]-R[0]C[-1])/R[0]C[-1]">7.92%</td>
</tr>
<tr><td colspan="3" rowspan="1" data-sheets-value='{"1":2,"2":"Source: KRX"}'><em>Source: KRX</em></td></tr>
</tbody>
</table><p>The downward trend for the holding company, which began about a year ago, still seems alive.</p><figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/161/057/original/chart%20%282%29.png?1600897928" class="editor-image img-responsive" data-smartkarma-image-id="161057"></figure>

Amore holding company is now at -2.1σ on a 20D MA relative to Amorepacific.






% of sigma

Today
-209.36%


T-1
-118.97%


T-2
-43.22%


T-3
-121.91%


T-4
26.18%


T-5
-120.73%

Source: KRX

The price ratio currently sits at 0.296, a new 120D low, and pretty close to the 2Y low.It is 6.8% down from the 120D mean and 16.4% down from the 120D high.






Price ratio

Today
0.29631
-


20D MA
0.30230
-


σ
0.00286
-


+1 σ
0.30516
-


-1 σ
0.29944
-


120D mean
0.31781
-6.77%


120D median
0.31955
-7.27%


120D high
0.35460
-16.44%


120D low
0.29631
0.00%


1Y mean
0.36200
-18.15%


1Y median
0.34128
-13.18%


1Y high
0.49379
-39.99%


1Y low
0.27456
7.92%


2Y mean
0.37133
-20.20%


2Y median
0.36897
-19.69%


2Y high
0.49379
-39.99%


2Y low
0.27456
7.92%

Source: KRX

The downward trend for the holding company, which began about a year ago, still seems alive.

Amore Stub At -2.1σ: Expect Reversion for Three Reasons

Korea/Asia, Events, IPOs, Douglas Research Advisory

Douglas Kim

Korea/Asia, Events, IPOs

Cross Asset Strategy

<div class="content-highlight"><p><strong>It has been reported in the past few days that <a href="http://www.koreaninvestors.com/?p=12175" target="_blank" rel="noopener">NPS</a> is likely to put a greater emphasis on ESG (environmental, social, &amp; governance) based investing for Korean stocks and bonds starting 2021. </strong>NPS has currently given a mandate to a company to help NPS to apply ESG based investment system. The ESG evaluations are expected to aid NPS to actively exercise shareholder rights and also to carry out negative screening of stocks.</p></div><h3>Implications of NPS Incorporating More ESG Criteria on Domestic Investments (Bonds &amp; Stocks)</h3><ul>
<li>Negative Impact on VICE industries </li>
<li>Positive Impact on Renewable Energy Industries</li>
<li>Negative Impact on Coal &amp; Oil Industries</li>
<li>Greater Representation of Women in Senior Management Team/BOD</li>
</ul>

It has been reported in the past few days that NPS is likely to put a greater emphasis on ESG (environmental, social, &amp; governance) based investing for Korean stocks and bonds starting 2021. NPS has currently given a mandate to a company to help NPS to apply ESG based investment system. The ESG evaluations are expected to aid NPS to actively exercise shareholder rights and also to carry out negative screening of stocks.Implications of NPS Incorporating More ESG Criteria on Domestic Investments (Bonds &amp; Stocks)
Negative Impact on VICE industries 
Positive Impact on Renewable Energy Industries
Negative Impact on Coal &amp; Oil Industries
Greater Representation of Women in Senior Management Team/BOD


NPS - Greater Emphasis of ESG Based Investing for Korean Stocks & Bonds Starting 2021

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/alibaba-health-information-technology-ltd" target="_blank" data-smartkarma-citation="entities:453:1" rel="noopener">Alibaba Health Information Technology (241 HK)</a>, <a href="https://www.smartkarma.com/entities/meituan-dianping" target="_blank" data-smartkarma-citation="entities:26970:1" rel="noopener">Meituan Dianping (3690 HK)</a>, <a href="https://www.smartkarma.com/entities/hang-seng-bank-ltd" target="_blank" data-smartkarma-citation="entities:24:1" rel="noopener">Hang Seng Bank (11 HK)</a> and <a href="https://www.smartkarma.com/entities/sunny-optical-tech" target="_blank" data-smartkarma-citation="entities:13363:1" rel="noopener">Sunny Optical (2382 HK)</a> while there was short covering 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/wuxi-apptec-co-ltd-bf4a1265-beef-48b6-b82d-29308426030f" target="_blank" data-smartkarma-citation="entities:27795:1" rel="noopener">WuXi AppTec Co. Ltd. (2359 HK)</a>, <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> and <a href="https://www.smartkarma.com/entities/alibaba-group" target="_blank" data-smartkarma-citation="entities:28434:1" rel="noopener">Alibaba Group (9988 HK)</a>. Shorts increased in Information Technology, Consumer Discretionary, and Consumer Staples and were covered in Financials and Energy.</p></div><div><p>Japan saw an increase in shorts on <a href="https://www.smartkarma.com/entities/canon-inc" target="_blank" data-smartkarma-citation="entities:1:1" rel="noopener">Canon Inc (7751 JP)</a>, <a href="https://www.smartkarma.com/entities/east-japan-railway-co" target="_blank" data-smartkarma-citation="entities:14271:1" rel="noopener">East Japan Railway Co (9020 JP)</a>, <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> and <a href="https://www.smartkarma.com/entities/lasertec-corp" target="_blank" data-smartkarma-citation="entities:4126:1" rel="noopener">Lasertec Corp (6920 JP)</a> and a reduction in shorts on <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/oriental-land-co-ltd" target="_blank" data-smartkarma-citation="entities:13517:1" rel="noopener">Oriental Land (4661 JP)</a>, <a href="https://www.smartkarma.com/entities/astellas-pharma-inc" target="_blank" data-smartkarma-citation="entities:6091:1" rel="noopener">Astellas Pharma (4503 JP)</a> and <a href="https://www.smartkarma.com/entities/yaskawa-electric-corp" target="_blank" data-smartkarma-citation="entities:2458:1" rel="noopener">Yaskawa Electric (6506 JP)</a>. Sectorally, shorts increased on Information Technology and Financials, and reduced on Health Care.</p></div><div><p>Short Interest in Korea decreased in almost all industry groups led by Pharmaceuticals, Capital Goods, Materials and Household Products. Stocks that saw the most short covering were <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/seegene-inc" target="_blank" data-smartkarma-citation="entities:11483:1" rel="noopener">Seegene Inc (096530 KS)</a>, <a href="https://www.smartkarma.com/entities/lotte-chemical-corp" target="_blank" data-smartkarma-citation="entities:8757:1" rel="noopener">Lotte Chemical (011170 KS)</a>, <a href="https://www.smartkarma.com/entities/amorepacific-corp" target="_blank" data-smartkarma-citation="entities:20854:1" rel="noopener">Amorepacific Corp (090430 KS)</a> and <a href="https://www.smartkarma.com/entities/kb-financial-group-inc" target="_blank" data-smartkarma-citation="entities:718:1" rel="noopener">Kb Financial Group (105560 KS)</a>.</p></div><div><p>Short Interest in Taiwan increased in Technology Hardware, Capital Goods and Materials, while shorts decreased in Consumer Durables, Insurance and Semiconductors. Stocks that saw the highest increase in shorts were <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/yageo-corporation" target="_blank" data-smartkarma-citation="entities:13212:1" rel="noopener">Yageo Corporation (2327 TT)</a>, <a href="https://www.smartkarma.com/entities/taiwan-cement" target="_blank" data-smartkarma-citation="entities:19736:1" rel="noopener">Taiwan Cement (1101 TT)</a> and <a href="https://www.smartkarma.com/entities/nan-ya-printed-circuit-board-corporation" target="_blank" data-smartkarma-citation="entities:2699:1" rel="noopener">Nan Ya Printed Circuit Board (8046 TT)</a> while shorts were covered in <a href="https://www.smartkarma.com/entities/genius-electronic-optical-co-ltd" target="_blank" data-smartkarma-citation="entities:9632:1" rel="noopener">Genius Electronic Optical (3406 TT)</a>, <a href="https://www.smartkarma.com/entities/first-financial-holding-co" target="_blank" data-smartkarma-citation="entities:716:1" rel="noopener">First Financial Holding Co (2892 TT)</a>, <a href="https://www.smartkarma.com/entities/alchip-technologies-ltd" target="_blank" data-smartkarma-citation="entities:20219:1" rel="noopener">Alchip Technologies (3661 TT)</a> and <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>.</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 Alibaba Health Information Technology (241 HK), Meituan Dianping (3690 HK), Hang Seng Bank (11 HK) and Sunny Optical (2382 HK) while there was short covering on Ping An Insurance (H) (2318 HK), WuXi AppTec Co. Ltd. (2359 HK), Tencent Holdings (700 HK) and Alibaba Group (9988 HK). Shorts increased in Information Technology, Consumer Discretionary, and Consumer Staples and were covered in Financials and Energy.Japan saw an increase in shorts on Canon Inc (7751 JP), East Japan Railway Co (9020 JP), Fast Retailing (9983 JP) and Lasertec Corp (6920 JP) and a reduction in shorts on Tokyo Electron (8035 JP), Oriental Land (4661 JP), Astellas Pharma (4503 JP) and Yaskawa Electric (6506 JP). Sectorally, shorts increased on Information Technology and Financials, and reduced on Health Care.Short Interest in Korea decreased in almost all industry groups led by Pharmaceuticals, Capital Goods, Materials and Household Products. Stocks that saw the most short covering were Samsung Biologics Co., (207940 KS), Seegene Inc (096530 KS), Lotte Chemical (011170 KS), Amorepacific Corp (090430 KS) and Kb Financial Group (105560 KS).Short Interest in Taiwan increased in Technology Hardware, Capital Goods and Materials, while shorts decreased in Consumer Durables, Insurance and Semiconductors. Stocks that saw the highest increase in shorts were TSMC (2330 TT), Yageo Corporation (2327 TT), Taiwan Cement (1101 TT) and Nan Ya Printed Circuit Board (8046 TT) while shorts were covered in Genius Electronic Optical (3406 TT), First Financial Holding Co (2892 TT), Alchip Technologies (3661 TT) and United Microelectronics Corp (2303 TT).

Asia Short Interest Weekly: AliHealth, Meituan, SunnyOptical, WuXi Apptec, Canon, Lasertec, Seegene

South Korea

Amorepacific Corporation develops, manufactures, and exports skin care, make-up, and fragrance products. The Company also produces and markets personal care and health-related products, such as shampoos, soaps, toothpastes, and health teas.

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

Amorepacific Corp (090430 KS)

AMZN into Korea - "We Are Not Here to Take Part, We're Here to Take Over!"

I guess the Koreans aren't scared of Amazon's entry into the ecommerce space! I'm a seller of Naver here on the news that Amazon will come into...

Ken S. Kim

Amore Stub At -2.5σ & Wang Yi's Cancelled Visit: Entry Point for Range Trading

???

Sanghyun Park

Amore Stub At -2.1σ: Expect Reversion for Three Reasons

???

Sanghyun Park

NPS - Greater Emphasis of ESG Based Investing for Korean Stocks & Bonds Starting 2021

It has been reported in the past few days that NPS is likely to put a greater emphasis on ESG (environmental, social, & governance) based...

Douglas Kim

Asia Short Interest Weekly: AliHealth, Meituan, SunnyOptical, WuXi Apptec, Canon, Lasertec, Seegene

The Asia Short Interest weekly looks at moves in market wide short interest and highlights movements in stock specific short interest across Hong...

Brian Freitas

Price Gauge

52-week Range

Market Cap (USDm)

P/E

Dividend (Yield)