Correlation Between Freeport McMoRan and Samsung Electronics
Can any of the company-specific risk be diversified away by investing in both Freeport McMoRan and Samsung Electronics 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 Freeport McMoRan and Samsung Electronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Freeport McMoRan and Samsung Electronics Co, you can compare the effects of market volatilities on Freeport McMoRan and Samsung Electronics 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 Freeport McMoRan with a short position of Samsung Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Freeport McMoRan and Samsung Electronics.
Diversification Opportunities for Freeport McMoRan and Samsung Electronics
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Freeport and Samsung is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Freeport McMoRan and Samsung Electronics Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung Electronics and Freeport McMoRan 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 Freeport McMoRan are associated (or correlated) with Samsung Electronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samsung Electronics has no effect on the direction of Freeport McMoRan i.e., Freeport McMoRan and Samsung Electronics go up and down completely randomly.
Pair Corralation between Freeport McMoRan and Samsung Electronics
Assuming the 90 days trading horizon Freeport McMoRan is expected to generate 0.95 times more return on investment than Samsung Electronics. However, Freeport McMoRan is 1.05 times less risky than Samsung Electronics. It trades about -0.09 of its potential returns per unit of risk. Samsung Electronics Co is currently generating about -0.14 per unit of risk. If you would invest 4,558 in Freeport McMoRan on September 22, 2024 and sell it today you would lose (660.00) from holding Freeport McMoRan or give up 14.48% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Freeport McMoRan vs. Samsung Electronics Co
Performance |
Timeline |
Freeport McMoRan |
Samsung Electronics |
Freeport McMoRan and Samsung Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Freeport McMoRan and Samsung Electronics
The main advantage of trading using opposite Freeport McMoRan and Samsung Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Freeport McMoRan position performs unexpectedly, Samsung Electronics 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 Electronics will offset losses from the drop in Samsung Electronics' long position.Freeport McMoRan vs. Samsung Electronics Co | Freeport McMoRan vs. Samsung Electronics Co | Freeport McMoRan vs. Hyundai Motor | Freeport McMoRan vs. Reliance Industries Ltd |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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