Correlation Between Samsung Electronics and Aluminumof China
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Aluminumof China 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 Electronics and Aluminumof China into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Samsung Electronics Co and Aluminum of, you can compare the effects of market volatilities on Samsung Electronics and Aluminumof China 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 Electronics with a short position of Aluminumof China. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Aluminumof China.
Diversification Opportunities for Samsung Electronics and Aluminumof China
0.42 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Samsung and Aluminumof is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Aluminum of in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aluminumof China and Samsung Electronics 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 Electronics Co are associated (or correlated) with Aluminumof China. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aluminumof China has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Aluminumof China go up and down completely randomly.
Pair Corralation between Samsung Electronics and Aluminumof China
Assuming the 90 days trading horizon Samsung Electronics Co is expected to under-perform the Aluminumof China. But the stock apears to be less risky and, when comparing its historical volatility, Samsung Electronics Co is 1.05 times less risky than Aluminumof China. The stock trades about -0.23 of its potential returns per unit of risk. The Aluminum of is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest 56.00 in Aluminum of on September 29, 2024 and sell it today you would lose (1.00) from holding Aluminum of or give up 1.79% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Electronics Co vs. Aluminum of
Performance |
Timeline |
Samsung Electronics |
Aluminumof China |
Samsung Electronics and Aluminumof China Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and Aluminumof China
The main advantage of trading using opposite Samsung Electronics and Aluminumof China positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Aluminumof China 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 Aluminumof China will offset losses from the drop in Aluminumof China's long position.Samsung Electronics vs. Samsung Electronics Co | Samsung Electronics vs. Sony Group | Samsung Electronics vs. Xiaomi |
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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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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