Correlation Between Samsung Biologics and Samlip General
Can any of the company-specific risk be diversified away by investing in both Samsung Biologics and Samlip General 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 Samsung Biologics and Samlip General into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Samsung Biologics Co and Samlip General Foods, you can compare the effects of market volatilities on Samsung Biologics and Samlip General 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 Samsung Biologics with a short position of Samlip General. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Biologics and Samlip General.
Diversification Opportunities for Samsung Biologics and Samlip General
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Samsung and Samlip is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Biologics Co and Samlip General Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samlip General Foods and Samsung Biologics 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 Samsung Biologics Co are associated (or correlated) with Samlip General. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samlip General Foods has no effect on the direction of Samsung Biologics i.e., Samsung Biologics and Samlip General go up and down completely randomly.
Pair Corralation between Samsung Biologics and Samlip General
Assuming the 90 days trading horizon Samsung Biologics Co is expected to under-perform the Samlip General. But the stock apears to be less risky and, when comparing its historical volatility, Samsung Biologics Co is 1.04 times less risky than Samlip General. The stock trades about -0.08 of its potential returns per unit of risk. The Samlip General Foods is currently generating about -0.08 of returns per unit of risk over similar time horizon. If you would invest 4,825,000 in Samlip General Foods on September 12, 2024 and sell it today you would lose (195,000) from holding Samlip General Foods or give up 4.04% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Biologics Co vs. Samlip General Foods
Performance |
Timeline |
Samsung Biologics |
Samlip General Foods |
Samsung Biologics and Samlip General Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Biologics and Samlip General
The main advantage of trading using opposite Samsung Biologics and Samlip General positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Biologics position performs unexpectedly, Samlip General 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 Samlip General will offset losses from the drop in Samlip General's long position.Samsung Biologics vs. SK Bioscience Co | Samsung Biologics vs. Sk Biopharmaceuticals Co | Samsung Biologics vs. ABL Bio | Samsung Biologics vs. Green Cross Lab |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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