Correlation Between Camus Engineering and Samsung Fire
Can any of the company-specific risk be diversified away by investing in both Camus Engineering and Samsung Fire 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 Camus Engineering and Samsung Fire into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Camus Engineering Construction and Samsung Fire Marine, you can compare the effects of market volatilities on Camus Engineering and Samsung Fire 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 Camus Engineering with a short position of Samsung Fire. Check out your portfolio center. Please also check ongoing floating volatility patterns of Camus Engineering and Samsung Fire.
Diversification Opportunities for Camus Engineering and Samsung Fire
-0.38 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Camus and Samsung is -0.38. Overlapping area represents the amount of risk that can be diversified away by holding Camus Engineering Construction and Samsung Fire Marine in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung Fire Marine and Camus Engineering 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 Camus Engineering Construction are associated (or correlated) with Samsung Fire. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samsung Fire Marine has no effect on the direction of Camus Engineering i.e., Camus Engineering and Samsung Fire go up and down completely randomly.
Pair Corralation between Camus Engineering and Samsung Fire
Assuming the 90 days trading horizon Camus Engineering Construction is expected to under-perform the Samsung Fire. In addition to that, Camus Engineering is 1.57 times more volatile than Samsung Fire Marine. It trades about 0.0 of its total potential returns per unit of risk. Samsung Fire Marine is currently generating about 0.05 per unit of volatility. If you would invest 37,000,000 in Samsung Fire Marine on December 24, 2024 and sell it today you would earn a total of 2,050,000 from holding Samsung Fire Marine or generate 5.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Camus Engineering Construction vs. Samsung Fire Marine
Performance |
Timeline |
Camus Engineering |
Samsung Fire Marine |
Camus Engineering and Samsung Fire Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Camus Engineering and Samsung Fire
The main advantage of trading using opposite Camus Engineering and Samsung Fire positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Camus Engineering position performs unexpectedly, Samsung Fire 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 Samsung Fire will offset losses from the drop in Samsung Fire's long position.Camus Engineering vs. Nh Investment And | Camus Engineering vs. Stic Investments | Camus Engineering vs. Display Tech Co | Camus Engineering vs. Korea Investment Holdings |
Samsung Fire vs. Pan Entertainment Co | Samsung Fire vs. Nasmedia Co | Samsung Fire vs. Taegu Broadcasting | Samsung Fire vs. Daewon Media Co |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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