Correlation Between Semyung Electric and Eagon Industrial
Can any of the company-specific risk be diversified away by investing in both Semyung Electric and Eagon Industrial 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 Eagon Industrial 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 Eagon Industrial Co, you can compare the effects of market volatilities on Semyung Electric and Eagon Industrial 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 Eagon Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Semyung Electric and Eagon Industrial.
Diversification Opportunities for Semyung Electric and Eagon Industrial
-0.23 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Semyung and Eagon is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding Semyung Electric Machinery and Eagon Industrial Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eagon Industrial 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 Eagon Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eagon Industrial has no effect on the direction of Semyung Electric i.e., Semyung Electric and Eagon Industrial go up and down completely randomly.
Pair Corralation between Semyung Electric and Eagon Industrial
Assuming the 90 days trading horizon Semyung Electric Machinery is expected to under-perform the Eagon Industrial. In addition to that, Semyung Electric is 2.68 times more volatile than Eagon Industrial Co. It trades about -0.05 of its total potential returns per unit of risk. Eagon Industrial Co is currently generating about 0.08 per unit of volatility. If you would invest 495,288 in Eagon Industrial Co on October 10, 2024 and sell it today you would earn a total of 29,712 from holding Eagon Industrial Co or generate 6.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.39% |
Values | Daily Returns |
Semyung Electric Machinery vs. Eagon Industrial Co
Performance |
Timeline |
Semyung Electric Mac |
Eagon Industrial |
Semyung Electric and Eagon Industrial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Semyung Electric and Eagon Industrial
The main advantage of trading using opposite Semyung Electric and Eagon Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Semyung Electric position performs unexpectedly, Eagon Industrial 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 Eagon Industrial will offset losses from the drop in Eagon Industrial's long position.Semyung Electric vs. Digital Power Communications | Semyung Electric vs. Automobile Pc | Semyung Electric vs. Nable Communications | Semyung Electric vs. Lotte Rental Co |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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