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

Sanghyun Park

I investigate special situations, pairs, and index rebalancing trades in Korea.

Korea / Special Sits, Pairs, Index Rebalancing

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Clepsydra Capital

Investigate special situations, pairs, and index rebalancing trades in Korea.

Event-Driven

<p>SK Telecom delivered an 8.09% gain at a 3.63x DTV in the previous session.</p><p>The price peaked at ₩278,000, setting a new 52W high.</p><p>The announced quarterly dividend and SKT split were what drove up the price last Friday.</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":"Today"}'>Previous session (March 26, Friday)</td></tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Name"}' data-sheets-numberformat='[null,5,"m\"/\"d\"/\"yy"]'>Name</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"SK Telecom Co Ltd"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]' data-sheets-formula='=googlefinance(R[1]C[0], "name")'>SK Telecom Co Ltd</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Ticker"}' data-sheets-numberformat='[null,5,"m\"/\"d\"/\"yy"]'>Ticker</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"017670"}' data-sheets-numberformat='[null,4,"[$₩]#,##0"]' data-sheets-formula='="017670"'>017670</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"MC (₩B)"}'>MC (₩B)</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":22124.324814}' data-sheets-numberformat='[null,2,"#,##0.0"]' data-sheets-formula='=googlefinance(R[-1]C[0], "price")*googlefinance(R[-1]C[0], "shares")/1000000000'>22,124.3</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"DTV (₩B)"}'>DTV (₩B)</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":76.70187402631579}' data-sheets-numberformat='[null,2,"#,##0.0"]' data-sheets-formula='=googlefinance(R[-2]C[0], "volumeavg")*average(index(googlefinance(R[-2]C[0], "price", today()-30, today()), 0,2))/1000000000'>76.7</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Close"}'>Close</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":274000}' data-sheets-numberformat='[null,4,"[$₩-412]#,##0"]' data-sheets-formula='=googlefinance(R[-3]C[0], "price")'>₩274,000</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Δ Daily"}'>Δ Daily</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.08086785009861933}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=(R6C2-R[0]C[1])/R[0]C[1]">8.09%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Open"}'>Open</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.06407766990291262}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=(R6C2-R[0]C[1])/R[0]C[1]">6.41%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"High"}'>High</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-0.014388489208633094}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=(R6C2-R[0]C[1])/R[0]C[1]">-1.44%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Low"}'>Low</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.0682261208576998}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=(R6C2-R[0]C[1])/R[0]C[1]">6.82%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"x DTV"}'><strong>x DTV</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":3.6343745568121477}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula='=googlefinance(R[-8]C[0], "volume")/googlefinance(R[-8]C[0], "volumeavg")'><strong>3.63</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"TV (₩B)"}'>TV (₩B)</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":301.933204}' data-sheets-numberformat='[null,2,"#,##0.0"]' data-sheets-formula='=googlefinance(R3C[0], "volume")*R[-6]C[0]/1000000000'>301.9</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"TV/SO"}'>TV/SO</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.013647114953263586}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula='=googlefinance(R[-10]C[0], "volume")/googlefinance(R[-10]C[0], "shares")'>1.36%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"x Open"}'>x Open</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"8.34%p"}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula='=if((R[-5]C[1]-R[-4]C[1])/R[-6]C[1]&gt;0.1, left((R[-5]C[1]-R[-4]C[1])/R[-6]C[1]*100, 5)&amp;"%p", left((R[-5]C[1]-R[-4]C[1])/R[-6]C[1]*100, 4)&amp;"%p")'>8.34%p</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Upper wick"}'>Upper wick</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-0.18604651162790697}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=if((R[-9]C[0]-R[-7]C[1])&gt;0, (R[-9]C[0]-R[-6]C[1])/(R9C[1]-R10C[1]), (R[-7]C[1]-R[-6]C[1])/(R9C[1]-R10C[1]))">-18.60%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Body"}'>Body</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.7674418604651163}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=(R[-10]C[0]-R[-8]C[1])/(R9C[1]-R10C[1])">76.74%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Lower wick"}'>Lower wick</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.046511627906976744}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=if((R[-11]C[0]-R[-9]C[1])&gt;0, (R[-9]C[1]-R[-7]C[1])/(R9C[1]-R10C[1]), (R[-11]C[0]-R[-7]C[1])/(R9C[1]-R10C[1]))">4.65%</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="70">
<col width="70">
</colgroup>
<tbody>
<tr><td colspan="2" rowspan="1" style="width: 722.986px;" data-sheets-value='{"1":2,"2":"52W"}'>52W</td></tr>
<tr>
<td style="width: 351.134px;" data-sheets-value='{"1":2,"2":"52WH"}'><strong>52WH</strong></td>
<td style="text-align: right; width: 351.134px;" data-sheets-value='{"1":3,"3":-0.014388489208633094}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=(R[-15]C[0]-R[0]C[1])/R[0]C[1]"><strong>-1.44%</strong></td>
</tr>
<tr>
<td style="width: 351.134px;" data-sheets-value='{"1":2,"2":" - Date"}'><strong>- Date</strong></td>
<td style="text-align: right; width: 351.134px;" data-sheets-value='{"1":3,"3":44281.64583333333}' data-sheets-numberformat='[null,5,"m\"/\"d\"/\"yy"]' data-sheets-formula='=index(googlefinance(R[-19]C[0], "all", today()-365, today()+2), (match(max(index(googlefinance(R[-19]C[0], "all", today()-365, today()+2), 0, 3)), index(googlefinance(R[-19]C[0], "all", today()-365, today()+2), 0, 3), 0)), 1)'><strong>3/26/21</strong></td>
</tr>
<tr>
<td style="width: 351.134px;" data-sheets-value='{"1":2,"2":"52WL"}'>52WL</td>
<td style="text-align: right; width: 351.134px;" data-sheets-value='{"1":3,"3":0.611764705882353}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=(R[-17]C[0]-R[0]C[1])/R[0]C[1]">61.18%</td>
</tr>
<tr>
<td style="width: 351.134px;" data-sheets-value='{"1":2,"2":" - Date"}'>- Date</td>
<td style="text-align: right; width: 351.134px;" data-sheets-value='{"1":3,"3":43920.64583333333}' data-sheets-numberformat='[null,5,"m\"/\"d\"/\"yy"]' data-sheets-formula='=index(googlefinance(R[-21]C[0], "all", today()-365, today()+2), (match(MIN(index(googlefinance(R[-21]C[0], "all", today()-365, today()+2), 0, 4)), index(googlefinance(R[-21]C[0], "all", today()-365, today()+2), 0, 4), 0)), 1)'>3/30/20</td>
</tr>
<tr>
<td style="width: 351.134px;" data-sheets-value='{"1":2,"2":"20D SMA"}'>20D SMA</td>
<td style="text-align: right; width: 351.134px;" data-sheets-value='{"1":3,"3":0.07863399271725224}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=(R[-19]C[0]-R299C[15])/R299C[15]">7.86%</td>
</tr>
<tr>
<td style="width: 351.134px;" data-sheets-value='{"1":2,"2":"20D EMA"}'>20D EMA</td>
<td style="text-align: right; width: 351.134px;" data-sheets-value='{"1":3,"3":0.06978897560576489}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=(R[-20]C[0]-R299C[16])/R299C[16]">6.98%</td>
</tr>
<tr>
<td style="width: 351.134px;" data-sheets-value='{"1":2,"2":"120D SMA"}'>120D SMA</td>
<td style="text-align: right; width: 351.134px;" data-sheets-value='{"1":3,"3":0.12600811629937844}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=(R[-21]C[0]-R299C[17])/R299C[17]">12.60%</td>
</tr>
<tr>
<td style="width: 351.134px;" data-sheets-value='{"1":2,"2":"20D Δ"}'>20D Δ</td>
<td style="text-align: right; width: 351.134px;" data-sheets-value='{"1":3,"3":0.10707070707070707}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=(R6C2-R[252]C[14])/R[252]C[14]">10.71%</td>
</tr>
<tr>
<td style="width: 351.134px;" data-sheets-value='{"1":2,"2":"20D SD"}'>20D SD</td>
<td style="text-align: right; width: 351.134px;" data-sheets-value='{"1":3,"3":0.0317752982836343}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=stdev.s(R[252]C[14]:R299C[14])/average(R[252]C[14]:R299C[14])">3.18%</td>
</tr>
<tr>
<td style="width: 351.134px;" data-sheets-value='{"1":2,"2":"120D Δ"}'>120D Δ</td>
<td style="text-align: right; width: 351.134px;" data-sheets-value='{"1":3,"3":0.15126050420168066}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=(R6C2-R[150]C[14])/R[150]C[14]">15.13%</td>
</tr>
<tr>
<td style="width: 351.134px;" data-sheets-value='{"1":2,"2":"120D SD"}'>120D SD</td>
<td style="text-align: right; width: 351.134px;" data-sheets-value='{"1":3,"3":0.04652453407071372}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=stdev.s(R[149]C[14]:R299C[14])/average(R[149]C[14]:R299C[14])">4.65%</td>
</tr>
<tr>
<td style="width: 351.134px;" data-sheets-value='{"1":2,"2":"180D Δ"}'>180D Δ</td>
<td style="text-align: right; width: 351.134px;" data-sheets-value='{"1":3,"3":0.21777777777777776}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=(R6C2-R[88]C[14])/R[88]C[14]">21.78%</td>
</tr>
<tr>
<td style="width: 351.134px;" data-sheets-value='{"1":2,"2":"180D SD"}'>180D SD</td>
<td style="text-align: right; width: 351.134px;" data-sheets-value='{"1":3,"3":0.05449534356371748}' data-sheets-numberformat='[null,3,"0.00%",1]' data-sheets-formula="=stdev.s(R[87]C[14]:R299C[14])/average(R[87]C[14]:R299C[14])">5.45%</td>
</tr>
<tr><td colspan="2" rowspan="1" style="width: 722.986px;" data-sheets-value='{"1":2,"2":"Source: KRX"}'>Source: KRX</td></tr>
</tbody>
</table><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":"RSI, %K, &amp; %D"}'>RSI, %K, &amp; %D</td></tr>
<tr>
<td data-sheets-value='{"1":2,"2":"RSI (14)"}'>RSI (14)</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":69.67481814704726}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=R[468]C[7]">69.67</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"%K"}'>%K</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":87.09677419354838}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=R[467]C[10]">87.10</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"%D"}'>%D</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":79.95818399044205}' data-sheets-numberformat='[null,2,"#,##0.00",1]' data-sheets-formula="=R[466]C[11]">79.96</td>
</tr>
<tr><td colspan="2" 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/000/197/743/original/chart.png?1616949737" class="editor-image img-responsive" data-smartkarma-image-id="197743"></figure></section><section class="figure"><figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/197/744/original/chart+%281%29.png?1616949748" class="editor-image img-responsive" data-smartkarma-image-id="197744"></figure></section><section class="figure"><figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/197/745/original/chart+%282%29.png?1616949759" class="editor-image img-responsive" data-smartkarma-image-id="197745"></figure></section>

SK Telecom delivered an 8.09% gain at a 3.63x DTV in the previous session.The price peaked at ₩278,000, setting a new 52W high.The announced quarterly dividend and SKT split were what drove up the price last Friday.





Previous session (March 26, Friday)

Name
SK Telecom Co Ltd


Ticker
017670


MC (₩B)
22,124.3


DTV (₩B)
76.7


Close
₩274,000


Δ Daily
8.09%


Open
6.41%


High
-1.44%


Low
6.82%


x DTV
3.63


TV (₩B)
301.9


TV/SO
1.36%


x Open
8.34%p


Upper wick
-18.60%


Body
76.74%


Lower wick
4.65%

Source: KRX







52W

52WH
-1.44%


- Date
3/26/21


52WL
61.18%


- Date
3/30/20


20D SMA
7.86%


20D EMA
6.98%


120D SMA
12.60%


20D Δ
10.71%


20D SD
3.18%


120D Δ
15.13%


120D SD
4.65%


180D Δ
21.78%


180D SD
5.45%

Source: KRX







RSI, %K, &amp; %D

RSI (14)
69.67


%K
87.10


%D
79.96

Source: KRX



Short SK Telecom on Last Friday's Distorted Gain