Correlation Between Samsung Electronics and Grupo KUO
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Grupo KUO 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 Grupo KUO 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 Grupo KUO SAB, you can compare the effects of market volatilities on Samsung Electronics and Grupo KUO 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 Grupo KUO. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Grupo KUO.
Diversification Opportunities for Samsung Electronics and Grupo KUO
-0.41 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Samsung and Grupo is -0.41. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Grupo KUO SAB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Grupo KUO SAB 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 Grupo KUO. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Grupo KUO SAB has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Grupo KUO go up and down completely randomly.
Pair Corralation between Samsung Electronics and Grupo KUO
Assuming the 90 days trading horizon Samsung Electronics Co is expected to under-perform the Grupo KUO. But the stock apears to be less risky and, when comparing its historical volatility, Samsung Electronics Co is 1.45 times less risky than Grupo KUO. The stock trades about -0.09 of its potential returns per unit of risk. The Grupo KUO SAB is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 4,090 in Grupo KUO SAB on October 23, 2024 and sell it today you would earn a total of 510.00 from holding Grupo KUO SAB or generate 12.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Electronics Co vs. Grupo KUO SAB
Performance |
Timeline |
Samsung Electronics |
Grupo KUO SAB |
Samsung Electronics and Grupo KUO Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and Grupo KUO
The main advantage of trading using opposite Samsung Electronics and Grupo KUO positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Grupo KUO 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 Grupo KUO will offset losses from the drop in Grupo KUO's long position.Samsung Electronics vs. Grupo Industrial Saltillo | Samsung Electronics vs. DXC Technology | Samsung Electronics vs. McEwen Mining | Samsung Electronics vs. Cognizant Technology Solutions |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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