Correlation Between Semyung Electric and KCC Engineering
Can any of the company-specific risk be diversified away by investing in both Semyung Electric and KCC Engineering 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 Semyung Electric and KCC Engineering into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Semyung Electric Machinery and KCC Engineering Construction, you can compare the effects of market volatilities on Semyung Electric and KCC Engineering 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 Semyung Electric with a short position of KCC Engineering. Check out your portfolio center. Please also check ongoing floating volatility patterns of Semyung Electric and KCC Engineering.
Diversification Opportunities for Semyung Electric and KCC Engineering
-0.22 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Semyung and KCC is -0.22. Overlapping area represents the amount of risk that can be diversified away by holding Semyung Electric Machinery and KCC Engineering Construction in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KCC Engineering Cons and Semyung Electric 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 Semyung Electric Machinery are associated (or correlated) with KCC Engineering. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KCC Engineering Cons has no effect on the direction of Semyung Electric i.e., Semyung Electric and KCC Engineering go up and down completely randomly.
Pair Corralation between Semyung Electric and KCC Engineering
Assuming the 90 days trading horizon Semyung Electric Machinery is expected to generate 4.39 times more return on investment than KCC Engineering. However, Semyung Electric is 4.39 times more volatile than KCC Engineering Construction. It trades about 0.07 of its potential returns per unit of risk. KCC Engineering Construction is currently generating about -0.03 per unit of risk. If you would invest 473,220 in Semyung Electric Machinery on December 22, 2024 and sell it today you would earn a total of 67,780 from holding Semyung Electric Machinery or generate 14.32% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Semyung Electric Machinery vs. KCC Engineering Construction
Performance |
Timeline |
Semyung Electric Mac |
KCC Engineering Cons |
Semyung Electric and KCC Engineering Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Semyung Electric and KCC Engineering
The main advantage of trading using opposite Semyung Electric and KCC Engineering positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Semyung Electric position performs unexpectedly, KCC Engineering 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 KCC Engineering will offset losses from the drop in KCC Engineering's long position.Semyung Electric vs. Ssangyong Information Communication | Semyung Electric vs. DataSolution | Semyung Electric vs. Nable Communications | Semyung Electric vs. Daishin Information Communications |
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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