Correlation Between KCC Engineering and Samsung Biologics
Can any of the company-specific risk be diversified away by investing in both KCC Engineering and Samsung Biologics 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 KCC Engineering and Samsung Biologics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KCC Engineering Construction and Samsung Biologics Co, you can compare the effects of market volatilities on KCC Engineering and Samsung Biologics 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 KCC Engineering with a short position of Samsung Biologics. Check out your portfolio center. Please also check ongoing floating volatility patterns of KCC Engineering and Samsung Biologics.
Diversification Opportunities for KCC Engineering and Samsung Biologics
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between KCC and Samsung is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding KCC Engineering Construction and Samsung Biologics Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung Biologics and KCC 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 KCC Engineering Construction are associated (or correlated) with Samsung Biologics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samsung Biologics has no effect on the direction of KCC Engineering i.e., KCC Engineering and Samsung Biologics go up and down completely randomly.
Pair Corralation between KCC Engineering and Samsung Biologics
Assuming the 90 days trading horizon KCC Engineering Construction is expected to generate 0.87 times more return on investment than Samsung Biologics. However, KCC Engineering Construction is 1.15 times less risky than Samsung Biologics. It trades about 0.17 of its potential returns per unit of risk. Samsung Biologics Co is currently generating about -0.08 per unit of risk. If you would invest 390,436 in KCC Engineering Construction on October 7, 2024 and sell it today you would earn a total of 15,064 from holding KCC Engineering Construction or generate 3.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
KCC Engineering Construction vs. Samsung Biologics Co
Performance |
Timeline |
KCC Engineering Cons |
Samsung Biologics |
KCC Engineering and Samsung Biologics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KCC Engineering and Samsung Biologics
The main advantage of trading using opposite KCC Engineering and Samsung Biologics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KCC Engineering position performs unexpectedly, Samsung Biologics 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 Biologics will offset losses from the drop in Samsung Biologics' long position.KCC Engineering vs. Woori Financial Group | KCC Engineering vs. Jb Financial | KCC Engineering vs. Nh Investment And | KCC Engineering vs. Hyundai Heavy Industries |
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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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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