Correlation Between GRIFFIN MINING and UNIVMUSIC GRPADR050
Can any of the company-specific risk be diversified away by investing in both GRIFFIN MINING and UNIVMUSIC GRPADR050 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 UNIVMUSIC GRPADR050 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 UNIVMUSIC GRPADR050, you can compare the effects of market volatilities on GRIFFIN MINING and UNIVMUSIC GRPADR050 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 UNIVMUSIC GRPADR050. Check out your portfolio center. Please also check ongoing floating volatility patterns of GRIFFIN MINING and UNIVMUSIC GRPADR050.
Diversification Opportunities for GRIFFIN MINING and UNIVMUSIC GRPADR050
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between GRIFFIN and UNIVMUSIC is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding GRIFFIN MINING LTD and UNIVMUSIC GRPADR050 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UNIVMUSIC GRPADR050 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 UNIVMUSIC GRPADR050. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of UNIVMUSIC GRPADR050 has no effect on the direction of GRIFFIN MINING i.e., GRIFFIN MINING and UNIVMUSIC GRPADR050 go up and down completely randomly.
Pair Corralation between GRIFFIN MINING and UNIVMUSIC GRPADR050
Assuming the 90 days horizon GRIFFIN MINING LTD is expected to generate 1.41 times more return on investment than UNIVMUSIC GRPADR050. However, GRIFFIN MINING is 1.41 times more volatile than UNIVMUSIC GRPADR050. It trades about 0.16 of its potential returns per unit of risk. UNIVMUSIC GRPADR050 is currently generating about 0.04 per unit of risk. If you would invest 171.00 in GRIFFIN MINING LTD on December 24, 2024 and sell it today you would earn a total of 49.00 from holding GRIFFIN MINING LTD or generate 28.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
GRIFFIN MINING LTD vs. UNIVMUSIC GRPADR050
Performance |
Timeline |
GRIFFIN MINING LTD |
UNIVMUSIC GRPADR050 |
GRIFFIN MINING and UNIVMUSIC GRPADR050 Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GRIFFIN MINING and UNIVMUSIC GRPADR050
The main advantage of trading using opposite GRIFFIN MINING and UNIVMUSIC GRPADR050 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GRIFFIN MINING position performs unexpectedly, UNIVMUSIC GRPADR050 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 UNIVMUSIC GRPADR050 will offset losses from the drop in UNIVMUSIC GRPADR050's long position.GRIFFIN MINING vs. Merit Medical Systems | GRIFFIN MINING vs. IMAGIN MEDICAL INC | GRIFFIN MINING vs. SINGAPORE AIRLINES | GRIFFIN MINING vs. Compugroup Medical SE |
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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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