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

Sanghyun Park

Korea / Special Sits, Pairs, Index Rebalancing

Clepsydra Capital

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

Event-Driven

Hyundai Oilbank has officially started the IPO process. It has reportedly sent out an RFP to local and overseas brokerages. The company is expected to pursue a listing on the KOSPI in early 2022.<div class="content-highlight">
After stopping preparations for an IPO in 2019, it again seeks to enter the stock market after more than two years. This is the third challenge since 2012, when the first listing attempt was made.
<ul>
<li>In 2012, the company gave up halfway due to the sharp drop in international oil prices. </li>
<li>In 2017, Hyundai Oilbank was designated as a company subject to accounting supervision. So the IPO was again abandoned midway.</li>
</ul>
</div>In January 2019, Hyundai Oilbank raised an equity investment worth ₩1.37T from Saudi Aramco for a 17% stake, and as a result, officially announced the suspension of the IPO. So, the estimated IPO valuation at this point is about ₩8.1T. The Aramco investment of ₩1.37T for a 17% stake translates into an ₩8.1T valuation.Hyundai Oilbank recorded an operating profit of ₩412.8B in the first quarter of this year, successfully turning to black compared to the previous quarter.

Hyundai Oilbank has officially started the IPO process. It has reportedly sent out an RFP to local and overseas brokerages. The company is expected to pursue a listing on the KOSPI in early 2022.
After stopping preparations for an IPO in 2019, it again seeks to enter the stock market after more than two years. This is the third challenge since 2012, when the first listing attempt was made.

In 2012, the company gave up halfway due to the sharp drop in international oil prices. 
In 2017, Hyundai Oilbank was designated as a company subject to accounting supervision. So the IPO was again abandoned midway.

In January 2019, Hyundai Oilbank raised an equity investment worth ₩1.37T from Saudi Aramco for a 17% stake, and as a result, officially announced the suspension of the IPO. So, the estimated IPO valuation at this point is about ₩8.1T. The Aramco investment of ₩1.37T for a 17% stake translates into an ₩8.1T valuation.Hyundai Oilbank recorded an operating profit of ₩412.8B in the first quarter of this year, successfully turning to black compared to the previous quarter.

KOSE (Long) Vs. HHI Holdings (Short) Pair Trade on Hyundai Oilbank IPO

I grouped Korea's closely correlated sector pairs within the same GICS sub-category. I applied the additional filtering: 1. a market cap of ₩1T or more and 2. stocks eligible to short-selling (KOSPI 200 and KOSDAQ 150). This grouping returns 141 sector pairs worthy of close monitoring for a long/short trade.<div class="content-highlight">You can find all the 141 sector pairs with the 180-day correlation coefficients and the sigma on a 20-day moving average in the attached file.</div><hr>Below are the top 10 most correlated sector pairs above a 180-day correlation coefficient of 0.95 or higher. They are mostly cyclical stocks, which are in line with our conventional thinking that cyclical stocks have a stronger tendency to move together than growth stocks.<table class="table table-striped">
<colgroup>
<col width="200">
<col width="200">
<col width="100">
<col width="100">
</colgroup>
<tbody>
<tr>
<td data-sheets-value='{"1":2,"2":"Comp 1"}'>Comp 1</td>
<td data-sheets-value='{"1":2,"2":"Comp 2"}'>Comp 2</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"180-day correlation coefficient"}'>180-day correlation coefficient</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Business type"}'>Business type</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Hyundai Mipo Dockyard Co., Ltd."}'>Hyundai Mipo Dockyard Co., Ltd.</td>
<td data-sheets-value='{"1":2,"2":"Korea Shipbuilding &amp;Offshore Engn Co Ltd"}'>Korea Shipbuilding &amp;Offshore Engn Co Ltd</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.97405}'>0.97405</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Shipbuilding"}'>Shipbuilding</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Hyundai Department Store Co Ltd"}'>Hyundai Department Store Co Ltd</td>
<td data-sheets-value='{"1":2,"2":"Lotte Shopping Co Ltd"}'>Lotte Shopping Co Ltd</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.97033}'>0.97033</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Retail"}'>Retail</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"GS Engineering &amp; Construction Corp"}'>GS Engineering &amp; Construction Corp</td>
<td data-sheets-value='{"1":2,"2":"Hyundai Engineering &amp; Construction Co."}'>Hyundai Engineering &amp; Construction Co.</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.96379}'>0.96379</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Construction"}'>Construction</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"HYUNDAI MOBIS CO., LTD."}'>HYUNDAI MOBIS CO., LTD.</td>
<td data-sheets-value='{"1":2,"2":"Hyundai Motor Co"}'>Hyundai Motor Co</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.96145}'>0.96145</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Automotive"}'>Automotive</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Shinhan Financial Group Co., Ltd."}'>Shinhan Financial Group Co., Ltd.</td>
<td data-sheets-value='{"1":2,"2":"KB Financial Group Inc"}'>KB Financial Group Inc</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.95989}'>0.95989</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Commercial bank"}'>Commercial bank</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"LG Innotek Co., Ltd."}'>LG Innotek Co., Ltd.</td>
<td data-sheets-value='{"1":2,"2":"LG Electronics Inc."}'>LG Electronics Inc.</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.95986}'>0.95986</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"IT"}'>IT</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Hansol Chemical Co Ltd"}'>Hansol Chemical Co Ltd</td>
<td data-sheets-value='{"1":2,"2":"Posco Chemical Co Ltd"}'>Posco Chemical Co Ltd</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.95374}'>0.95374</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Chemical"}'>Chemical</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Hanwha Aerospace Co Ltd"}'>Hanwha Aerospace Co Ltd</td>
<td data-sheets-value='{"1":2,"2":"Korea Aerospace Industries Ltd"}'>Korea Aerospace Industries Ltd</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.95243}'>0.95243</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Aerospace"}'>Aerospace</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"KG DongbuSteel Co Ltd"}'>KG DongbuSteel Co Ltd</td>
<td data-sheets-value='{"1":2,"2":"POSCO"}'>POSCO</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.95174}'>0.95174</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Steel"}'>Steel</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"KG DongbuSteel Co Ltd"}'>KG DongbuSteel Co Ltd</td>
<td data-sheets-value='{"1":2,"2":"Hyundai Steel Co"}'>Hyundai Steel Co</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.94972}'>0.94972</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Steel"}'>Steel</td>
</tr>
<tr><td colspan="4" rowspan="1" data-sheets-value='{"1":2,"2":"Source: KRX"}'>Source: KRX</td></tr>
</tbody>
</table>Below are the top 10 stocks suffering the harshest diversion on a 20-day moving average among those having a 180-day correlation coefficient of 0.80 or higher. E-Mart and Lotte Shopping top the list with a -3.27σ and a correlation coefficient of 0.85. Silicon Works/LG Electronics and BGF Retail/E-Mart follow as they are also in a heavy diversion at +2.79σ and +2.58σ, respectively. Woori Financial/KB Financial and Pan Ocean/HMM aren't far away either.<table class="table table-striped">
<colgroup>
<col width="200">
<col width="200">
<col width="100">
<col width="100">
</colgroup>
<tbody>
<tr>
<td data-sheets-value='{"1":2,"2":"Comp 1"}'>Comp 1</td>
<td data-sheets-value='{"1":2,"2":"Comp 2"}'>Comp 2</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"180-day correlation coefficient"}'>180-day correlation coefficient</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Sigma on a 20-day moving average"}'>Sigma on a 20-day moving average</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"E-Mart Inc"}'>E-Mart Inc</td>
<td data-sheets-value='{"1":2,"2":"Lotte Shopping Co Ltd"}'>Lotte Shopping Co Ltd</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.8512795053699035}' data-sheets-numberformat='[null,2,"#,##0.00000",1]'>0.85128</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-3.2691212591928522}' data-sheets-numberformat='{"1":2,"2":"#,##0.00","3":1}'>-3.27</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Silicon Works Co Ltd"}'>Silicon Works Co Ltd</td>
<td data-sheets-value='{"1":2,"2":"LG Electronics Inc."}'>LG Electronics Inc.</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.8241051481549174}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}'>0.82411</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":2.794228170493331}' data-sheets-numberformat='{"1":2,"2":"#,##0.00","3":1}'>2.79</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"BGF Retail Co Ltd"}'>BGF Retail Co Ltd</td>
<td data-sheets-value='{"1":2,"2":"E-Mart Inc"}'>E-Mart Inc</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.847331528848073}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}'>0.84733</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":2.5786176868102397}' data-sheets-numberformat='{"1":2,"2":"#,##0.00","3":1}'>2.58</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Woori Financial Group Inc"}'>Woori Financial Group Inc</td>
<td data-sheets-value='{"1":2,"2":"KB Financial Group Inc"}'>KB Financial Group Inc</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.8451741524292201}' data-sheets-numberformat='[null,2,"#,##0.00000",1]'>0.84517</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-2.465145723060455}' data-sheets-numberformat='{"1":2,"2":"#,##0.00","3":1}'>-2.47</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Pan Ocean Co Ltd"}'>Pan Ocean Co Ltd</td>
<td data-sheets-value='{"1":2,"2":"HMM Co Ltd"}'>HMM Co Ltd</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.935905540581882}' data-sheets-numberformat='[null,2,"#,##0.00000",1]'>0.93591</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":-2.33130934144712}' data-sheets-numberformat='{"1":2,"2":"#,##0.00","3":1}'>-2.33</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Hyundai Mipo Dockyard Co., Ltd."}'>Hyundai Mipo Dockyard Co., Ltd.</td>
<td data-sheets-value='{"1":2,"2":"Korea Shipbuilding &amp;Offshore Engn Co Ltd"}'>Korea Shipbuilding &amp;Offshore Engn Co Ltd</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.9740462682980674}' data-sheets-numberformat='[null,2,"#,##0.00000",1]'>0.97405</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":2.2401490556241117}' data-sheets-numberformat='{"1":2,"2":"#,##0.00","3":1}'>2.24</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"SK Innovation Co Ltd"}'>SK Innovation Co Ltd</td>
<td data-sheets-value='{"1":2,"2":"Samsung SDI Co Ltd"}'>Samsung SDI Co Ltd</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.9458691690353619}' data-sheets-numberformat='{"1":2,"2":"#,##0.00000","3":1}'>0.94587</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":2.1867120471913637}' data-sheets-numberformat='{"1":2,"2":"#,##0.00","3":1}'>2.19</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Hanwha Aerospace Co Ltd"}'>Hanwha Aerospace Co Ltd</td>
<td data-sheets-value='{"1":2,"2":"Korea Aerospace Industries Ltd"}'>Korea Aerospace Industries Ltd</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.9524282780324967}' data-sheets-numberformat='[null,2,"#,##0.00000",1]'>0.95243</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":2.086128932784612}' data-sheets-numberformat='{"1":2,"2":"#,##0.00","3":1}'>2.09</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Hyundai Mipo Dockyard Co., Ltd."}'>Hyundai Mipo Dockyard Co., Ltd.</td>
<td data-sheets-value='{"1":2,"2":"Daewoo Engineering &amp; Construction Co Ltd"}'>Daewoo Engineering &amp; Construction Co Ltd</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.8206840084895756}' data-sheets-numberformat='[null,2,"#,##0.00000",1]'>0.82068</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1.9737577992711182}' data-sheets-numberformat='{"1":2,"2":"#,##0.00","3":1}'>1.97</td>
</tr>
<tr>
<td>Woori Financial Group Inc</td>
<td>Shinhan Financial Group Co., Ltd.</td>
<td style="text-align: right;">0.87902</td>
<td style="text-align: right;">-1.93</td>
</tr>
<tr><td colspan="4" data-sheets-value='{"1":2,"2":"Source: KRX"}'>Source: KRX</td></tr>
</tbody>
</table>

I grouped Korea's closely correlated sector pairs within the same GICS sub-category. I applied the additional filtering: 1. a market cap of ₩1T or more and 2. stocks eligible to short-selling (KOSPI 200 and KOSDAQ 150). This grouping returns 141 sector pairs worthy of close monitoring for a long/short trade.You can find all the 141 sector pairs with the 180-day correlation coefficients and the sigma on a 20-day moving average in the attached file.Below are the top 10 most correlated sector pairs above a 180-day correlation coefficient of 0.95 or higher. They are mostly cyclical stocks, which are in line with our conventional thinking that cyclical stocks have a stronger tendency to move together than growth stocks.








Comp 1
Comp 2
180-day correlation coefficient
Business type


Hyundai Mipo Dockyard Co., Ltd.
Korea Shipbuilding &amp;Offshore Engn Co Ltd
0.97405
Shipbuilding


Hyundai Department Store Co Ltd
Lotte Shopping Co Ltd
0.97033
Retail


GS Engineering &amp; Construction Corp
Hyundai Engineering &amp; Construction Co.
0.96379
Construction


HYUNDAI MOBIS CO., LTD.
Hyundai Motor Co
0.96145
Automotive


Shinhan Financial Group Co., Ltd.
KB Financial Group Inc
0.95989
Commercial bank


LG Innotek Co., Ltd.
LG Electronics Inc.
0.95986
IT


Hansol Chemical Co Ltd
Posco Chemical Co Ltd
0.95374
Chemical


Hanwha Aerospace Co Ltd
Korea Aerospace Industries Ltd
0.95243
Aerospace


KG DongbuSteel Co Ltd
POSCO
0.95174
Steel


KG DongbuSteel Co Ltd
Hyundai Steel Co
0.94972
Steel

Source: KRX

Below are the top 10 stocks suffering the harshest diversion on a 20-day moving average among those having a 180-day correlation coefficient of 0.80 or higher. E-Mart and Lotte Shopping top the list with a -3.27σ and a correlation coefficient of 0.85. Silicon Works/LG Electronics and BGF Retail/E-Mart follow as they are also in a heavy diversion at +2.79σ and +2.58σ, respectively. Woori Financial/KB Financial and Pan Ocean/HMM aren't far away either.








Comp 1
Comp 2
180-day correlation coefficient
Sigma on a 20-day moving average


E-Mart Inc
Lotte Shopping Co Ltd
0.85128
-3.27


Silicon Works Co Ltd
LG Electronics Inc.
0.82411
2.79


BGF Retail Co Ltd
E-Mart Inc
0.84733
2.58


Woori Financial Group Inc
KB Financial Group Inc
0.84517
-2.47


Pan Ocean Co Ltd
HMM Co Ltd
0.93591
-2.33


Hyundai Mipo Dockyard Co., Ltd.
Korea Shipbuilding &amp;Offshore Engn Co Ltd
0.97405
2.24


SK Innovation Co Ltd
Samsung SDI Co Ltd
0.94587
2.19


Hanwha Aerospace Co Ltd
Korea Aerospace Industries Ltd
0.95243
2.09


Hyundai Mipo Dockyard Co., Ltd.
Daewoo Engineering &amp; Construction Co Ltd
0.82068
1.97


Woori Financial Group Inc
Shinhan Financial Group Co., Ltd.
0.87902
-1.93

Source: KRX



Korea Sector Long/Short Pairs Trade Ideas

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

Brian Freitas

Pan-Asia Index Rebalances/ Events/ Delta One

Quantitative Analysis

Short selling has finally resumed in Korea and it has been a busy couple of days on that front with foreign investors piling into stocks that have run up more than their peers over the last year and are potentially overvalued.Long/short pairs could be implemented in Korea during the short sell ban if you had long inventory or if there were listed single stock futures on the short leg.With short selling permitted on constituents of the <a href="https://www.smartkarma.com/entities/korea-stock-exchange-kospi-200-index" target="_blank" data-smartkarma-citation="entities:26021:1" rel="noopener">Korea Stock Exchange Kospi 200 Index (KOSPI2 INDEX)</a>, we take a look at long/short pairs where both stocks are members of the index. These pairs belong to the same GICS sub-industry, are correlated and exhibit mean-reversion. We also use short sale data from the last couple of trading sessions to see which stocks are being targeted by short sellers.

Short selling has finally resumed in Korea and it has been a busy couple of days on that front with foreign investors piling into stocks that have run up more than their peers over the last year and are potentially overvalued.Long/short pairs could be implemented in Korea during the short sell ban if you had long inventory or if there were listed single stock futures on the short leg.With short selling permitted on constituents of the Korea Stock Exchange Kospi 200 Index (KOSPI2 INDEX), we take a look at long/short pairs where both stocks are members of the index. These pairs belong to the same GICS sub-industry, are correlated and exhibit mean-reversion. We also use short sale data from the last couple of trading sessions to see which stocks are being targeted by short sellers.

Korea Pair Trades: High Risk/Reward Names with Short Sell Screen

Global Special Situations & Strategy, SR Services Ltd

David Lepper

Global Special Situations & Strategy

SR Services Ltd

SR Services provides Strategic Knowledge and Solutions services for Family Offices and Corporate Business. 

We deliver this via advisory services, strategic planning, opportunity analysis/sourcing, as well as solution implementation. 

Whilst, we create intellectual discipline and operational leverage for your projects or daily activities, our ultimate objective is to empower whilst enhancing your decision making. 

Strategic Knowledge and Solutions

Thematic (Sector/Industry)

The risk remains apparent - but list reduced in number over Q2<ul>
<li>
Q1-2019 Small-Mid Cap High-Risk list of stocks ( <a href="https://www.smartkarma.com/insights/screening-the-silkroad-small-mid-cap-possible-high-risk-names-q1-2019" target="_blank" data-smartkarma-citation="insights:27812">Screening the Silkroad: Small-Mid Cap - Possible High-Risk Names: Q1 2019</a> ) delivered a market cap average price increase of 6%. In comparison, the MSCI Asia Pacific Index appreciated 5% over the same period.</li>
<li>Our screen looks for high valuation multiples presented by candidates with significant earnings growth forecasts, as well as financial indicators that suggest balance sheet distress.</li>
<li>
The Risk to this screen: The Financial and Utility sectors are not covered in this screen. Moreover, “risk is not a number, it is a concept or notion”, as cited by James Mortiner during his time at Société Genéralé. Hence, some stocks may appear on this screen due to their business model being realigned to a more profitable approach. They may also be a member of more positive value or quality screens, as a result of this realignment.</li>
<li>
17-stocks appear in our Q2 2019 screen, down from 26 in Q1 2019. Of which 8 are new to the list. India has increased its presence in the list, whilst Korea and Taiwan have reduced theirs. Singapore remains absent from the screen for the fourth quarter running, whilst New Zealand has no presence this quarter.</li>
<li>
Our screen continues to highlight that risk remains within the small-mid cap universe, as measured by the Altman Z score. Moreover, our average stock in the list has a ranking of 65.7, compared to 42.3 in Q1 2019, which is still highlighting mid-field ranking. These stocks traditionally perform in-line with the market at best.</li>
</ul>

The risk remains apparent - but list reduced in number over Q2

Q1-2019 Small-Mid Cap High-Risk list of stocks ( Screening the Silkroad: Small-Mid Cap - Possible High-Risk Names: Q1 2019 ) delivered a market cap average price increase of 6%. In comparison, the MSCI Asia Pacific Index appreciated 5% over the same period.
Our screen looks for high valuation multiples presented by candidates with significant earnings growth forecasts, as well as financial indicators that suggest balance sheet distress.

The Risk to this screen: The Financial and Utility sectors are not covered in this screen. Moreover, “risk is not a number, it is a concept or notion”, as cited by James Mortiner during his time at Société Genéralé. Hence, some stocks may appear on this screen due to their business model being realigned to a more profitable approach. They may also be a member of more positive value or quality screens, as a result of this realignment.

17-stocks appear in our Q2 2019 screen, down from 26 in Q1 2019. Of which 8 are new to the list. India has increased its presence in the list, whilst Korea and Taiwan have reduced theirs. Singapore remains absent from the screen for the fourth quarter running, whilst New Zealand has no presence this quarter.

Our screen continues to highlight that risk remains within the small-mid cap universe, as measured by the Altman Z score. Moreover, our average stock in the list has a ranking of 65.7, compared to 42.3 in Q1 2019, which is still highlighting mid-field ranking. These stocks traditionally perform in-line with the market at best.


Screening the Silkroad: Small-Mid Cap High-Risk Names to Avoid: Q2 2019

Increasing risk apparent
<ul>
<li>
Q4-2018 Small-Mid Cap High-Risk screen ( <a href="https://www.smartkarma.com/insights/screening-the-silkroad-small-mid-cap-high-risk-names-to-avoid-q4-2018" target="_blank" data-smartkarma-citation="insights:25423">Screening the Silkroad: Small-Mid Cap - High-Risk Names To Avoid Q4 2018</a> ) delivered a market cap average share price decline of 4.5%. This compares with the MSCI Asia Pacific Index appreciating 4.2% over the same period. 
</li>
<li>
Our screen looks for high valuation multiples presented by candidates, with significant earnings growth forecasts, as well as financial indicators that suggest balance sheet distress. 
</li>
<li>
The Risk to this screen: The Financial and Utility sectors are not covered in this screen. Moreover, “risk is not a number, it is a concept or notion”, as James Mortiner cited during his time at Société Genéralé. Hence, some stocks due to their business model being realigned to a more profitable approach may appear on this screen, whilst also be a member of more positive value or quality screens.</li>
<li>
26-stocks appear in our Q1 2019 screen. Eight (8) of which are new, namely from Korea, Japan and Taiwan. Singapore remains absent from the screen for the third quarter running, whilst New Zealand has only presented one candidate in Q4 2018.</li>
<li>
Our screen suggests that risk is increasing amongst the small-mid cap universe, as the Alman Z average score slips to 1.14 in Q1 2019 from 1.16 in Q4 2018 and 1.38 in Q3 2018. Moreover, our average stock in the list has a ranking of 42.3, compared to 54.9 in Q4 2019. 
</li>
</ul>
<h2>Our screening styles</h2>
For those that follow us, you will know our Stock Ranking system from our <a href="https://www.smartkarma.com/insights/notes-from-the-silk-road-setting-out-our-small-mid-cap-lemonade-stand" target="_blank" data-smartkarma-citation="insights:16803">Notes from the Silk Road: Setting Out Our Small-Mid Cap Lemonade Stand</a>  For newcomers to our notes, it is merely a tool for identifying favourable and unfavourable stocks. In addition, to add more depth to our selection process we also monitor a series of “style categories” namely:
■ Growth,  ■ Value,  ■ Quality, ■ Momentum,  ■ Deep Value,  ■ Income, ■ Underperformance.
Within these style categories, we drill down further through a series of alpha momentum screens allowing us to differentiate and identify stock picks.

Increasing risk apparent


Q4-2018 Small-Mid Cap High-Risk screen ( Screening the Silkroad: Small-Mid Cap - High-Risk Names To Avoid Q4 2018 ) delivered a market cap average share price decline of 4.5%. This compares with the MSCI Asia Pacific Index appreciating 4.2% over the same period. 


Our screen looks for high valuation multiples presented by candidates, with significant earnings growth forecasts, as well as financial indicators that suggest balance sheet distress. 


The Risk to this screen: The Financial and Utility sectors are not covered in this screen. Moreover, “risk is not a number, it is a concept or notion”, as James Mortiner cited during his time at Société Genéralé. Hence, some stocks due to their business model being realigned to a more profitable approach may appear on this screen, whilst also be a member of more positive value or quality screens.

26-stocks appear in our Q1 2019 screen. Eight (8) of which are new, namely from Korea, Japan and Taiwan. Singapore remains absent from the screen for the third quarter running, whilst New Zealand has only presented one candidate in Q4 2018.

Our screen suggests that risk is increasing amongst the small-mid cap universe, as the Alman Z average score slips to 1.14 in Q1 2019 from 1.16 in Q4 2018 and 1.38 in Q3 2018. Moreover, our average stock in the list has a ranking of 42.3, compared to 54.9 in Q4 2019. 


Our screening styles
For those that follow us, you will know our Stock Ranking system from our Notes from the Silk Road: Setting Out Our Small-Mid Cap Lemonade Stand  For newcomers to our notes, it is merely a tool for identifying favourable and unfavourable stocks. In addition, to add more depth to our selection process we also monitor a series of “style categories” namely:
■ Growth,  ■ Value,  ■ Quality, ■ Momentum,  ■ Deep Value,  ■ Income, ■ Underperformance.
Within these style categories, we drill down further through a series of alpha momentum screens allowing us to differentiate and identify stock picks. 

Screening the Silkroad: Small-Mid Cap - Possible High-Risk Names: Q1 2019

South Korea

HD HYUNDAI MIPO. operates shipbuilding businesses. The Company produces gas carriers, car carriers, bulk carriers, special ships, and other products. HD HYUNDAI MIPO conducts businesses in South Korea.

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HD Hyundai Mipo (010620 KS)

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