Correlation Between Poongsan and SKONEC Entertainment
Can any of the company-specific risk be diversified away by investing in both Poongsan and SKONEC Entertainment at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Poongsan and SKONEC Entertainment into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Poongsan and SKONEC Entertainment Co, you can compare the effects of market volatilities on Poongsan and SKONEC Entertainment and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Poongsan with a short position of SKONEC Entertainment. Check out your portfolio center. Please also check ongoing floating volatility patterns of Poongsan and SKONEC Entertainment.
Diversification Opportunities for Poongsan and SKONEC Entertainment
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Poongsan and SKONEC is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Poongsan and SKONEC Entertainment Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SKONEC Entertainment and Poongsan is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Poongsan are associated (or correlated) with SKONEC Entertainment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SKONEC Entertainment has no effect on the direction of Poongsan i.e., Poongsan and SKONEC Entertainment go up and down completely randomly.
Pair Corralation between Poongsan and SKONEC Entertainment
Assuming the 90 days trading horizon Poongsan is expected to generate 0.7 times more return on investment than SKONEC Entertainment. However, Poongsan is 1.44 times less risky than SKONEC Entertainment. It trades about 0.06 of its potential returns per unit of risk. SKONEC Entertainment Co is currently generating about -0.07 per unit of risk. If you would invest 3,032,681 in Poongsan on September 3, 2024 and sell it today you would earn a total of 2,107,319 from holding Poongsan or generate 69.49% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Poongsan vs. SKONEC Entertainment Co
Performance |
| Timeline |
| Poongsan |
| SKONEC Entertainment |
Poongsan and SKONEC Entertainment Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Poongsan and SKONEC Entertainment
The main advantage of trading using opposite Poongsan and SKONEC Entertainment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Poongsan position performs unexpectedly, SKONEC Entertainment can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in SKONEC Entertainment will offset losses from the drop in SKONEC Entertainment's long position.| Poongsan vs. LG Chemicals | Poongsan vs. POSCO Holdings | Poongsan vs. Hanwha Solutions | Poongsan vs. Lotte Chemical Corp |
| SKONEC Entertainment vs. Posco ICT | SKONEC Entertainment vs. Devsisters corporation | SKONEC Entertainment vs. Alchera | SKONEC Entertainment vs. Nice Information Telecommunication |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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