Correlation Between GRIFFIN MINING and DATAGROUP
Can any of the company-specific risk be diversified away by investing in both GRIFFIN MINING and DATAGROUP 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 GRIFFIN MINING and DATAGROUP into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GRIFFIN MINING LTD and DATAGROUP SE, you can compare the effects of market volatilities on GRIFFIN MINING and DATAGROUP 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 GRIFFIN MINING with a short position of DATAGROUP. Check out your portfolio center. Please also check ongoing floating volatility patterns of GRIFFIN MINING and DATAGROUP.
Diversification Opportunities for GRIFFIN MINING and DATAGROUP
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between GRIFFIN and DATAGROUP is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding GRIFFIN MINING LTD and DATAGROUP SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DATAGROUP SE and GRIFFIN MINING 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 GRIFFIN MINING LTD are associated (or correlated) with DATAGROUP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DATAGROUP SE has no effect on the direction of GRIFFIN MINING i.e., GRIFFIN MINING and DATAGROUP go up and down completely randomly.
Pair Corralation between GRIFFIN MINING and DATAGROUP
Assuming the 90 days horizon GRIFFIN MINING LTD is expected to generate 1.1 times more return on investment than DATAGROUP. However, GRIFFIN MINING is 1.1 times more volatile than DATAGROUP SE. It trades about 0.08 of its potential returns per unit of risk. DATAGROUP SE is currently generating about -0.02 per unit of risk. If you would invest 85.00 in GRIFFIN MINING LTD on September 12, 2024 and sell it today you would earn a total of 91.00 from holding GRIFFIN MINING LTD or generate 107.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
GRIFFIN MINING LTD vs. DATAGROUP SE
Performance |
Timeline |
GRIFFIN MINING LTD |
DATAGROUP SE |
GRIFFIN MINING and DATAGROUP Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GRIFFIN MINING and DATAGROUP
The main advantage of trading using opposite GRIFFIN MINING and DATAGROUP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GRIFFIN MINING position performs unexpectedly, DATAGROUP 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 DATAGROUP will offset losses from the drop in DATAGROUP's long position.GRIFFIN MINING vs. Apple Inc | GRIFFIN MINING vs. Apple Inc | GRIFFIN MINING vs. Apple Inc | GRIFFIN MINING vs. Apple Inc |
DATAGROUP vs. Cognizant Technology Solutions | DATAGROUP vs. Superior Plus Corp | DATAGROUP vs. SIVERS SEMICONDUCTORS AB | DATAGROUP vs. Norsk Hydro ASA |
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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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