Correlation Between Disney and Southern Copper
Can any of the company-specific risk be diversified away by investing in both Disney and Southern Copper 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 Disney and Southern Copper into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between The Walt Disney and Southern Copper, you can compare the effects of market volatilities on Disney and Southern Copper 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 Disney with a short position of Southern Copper. Check out your portfolio center. Please also check ongoing floating volatility patterns of Disney and Southern Copper.
Diversification Opportunities for Disney and Southern Copper
-0.25 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Disney and Southern is -0.25. Overlapping area represents the amount of risk that can be diversified away by holding The Walt Disney and Southern Copper in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Southern Copper and Disney 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 The Walt Disney are associated (or correlated) with Southern Copper. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Southern Copper has no effect on the direction of Disney i.e., Disney and Southern Copper go up and down completely randomly.
Pair Corralation between Disney and Southern Copper
Assuming the 90 days trading horizon Disney is expected to generate 1.6 times less return on investment than Southern Copper. But when comparing it to its historical volatility, The Walt Disney is 1.14 times less risky than Southern Copper. It trades about 0.04 of its potential returns per unit of risk. Southern Copper is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 127,963 in Southern Copper on November 28, 2024 and sell it today you would earn a total of 69,847 from holding Southern Copper or generate 54.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
The Walt Disney vs. Southern Copper
Performance |
Timeline |
Walt Disney |
Southern Copper |
Disney and Southern Copper Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Disney and Southern Copper
The main advantage of trading using opposite Disney and Southern Copper positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Disney position performs unexpectedly, Southern Copper 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 Southern Copper will offset losses from the drop in Southern Copper's long position.Disney vs. Air Transport Services | Disney vs. Cognizant Technology Solutions | Disney vs. Hoteles City Express | Disney vs. Burlington Stores |
Southern Copper vs. Grupo Industrial Saltillo | Southern Copper vs. Grupo Sports World | Southern Copper vs. Cognizant Technology Solutions | Southern Copper vs. Burlington Stores |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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