Correlation Between DICKER DATA and Southern Copper
Can any of the company-specific risk be diversified away by investing in both DICKER DATA 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 DICKER DATA and Southern Copper into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DICKER DATA LTD and Southern Copper, you can compare the effects of market volatilities on DICKER DATA 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 DICKER DATA with a short position of Southern Copper. Check out your portfolio center. Please also check ongoing floating volatility patterns of DICKER DATA and Southern Copper.
Diversification Opportunities for DICKER DATA and Southern Copper
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between DICKER and Southern is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding DICKER DATA LTD and Southern Copper in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Southern Copper and DICKER DATA 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 DICKER DATA LTD 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 DICKER DATA i.e., DICKER DATA and Southern Copper go up and down completely randomly.
Pair Corralation between DICKER DATA and Southern Copper
Assuming the 90 days horizon DICKER DATA LTD is expected to under-perform the Southern Copper. But the stock apears to be less risky and, when comparing its historical volatility, DICKER DATA LTD is 1.07 times less risky than Southern Copper. The stock trades about -0.04 of its potential returns per unit of risk. The Southern Copper is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 9,557 in Southern Copper on September 14, 2024 and sell it today you would earn a total of 311.00 from holding Southern Copper or generate 3.25% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
DICKER DATA LTD vs. Southern Copper
Performance |
| Timeline |
| DICKER DATA LTD |
| Southern Copper |
DICKER DATA and Southern Copper Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with DICKER DATA and Southern Copper
The main advantage of trading using opposite DICKER DATA and Southern Copper positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DICKER DATA 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.| DICKER DATA vs. Arrow Electronics | DICKER DATA vs. KAGA EL LTD | DICKER DATA vs. Wayside Technology Group |
| Southern Copper vs. DICKER DATA LTD | Southern Copper vs. National Storage Affiliates | Southern Copper vs. MICRONIC MYDATA | Southern Copper vs. IMPERIAL TOBACCO |
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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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