Correlation Between Rana Gruber and Green Minerals
Can any of the company-specific risk be diversified away by investing in both Rana Gruber and Green Minerals 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 Rana Gruber and Green Minerals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Rana Gruber AS and Green Minerals AS, you can compare the effects of market volatilities on Rana Gruber and Green Minerals 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 Rana Gruber with a short position of Green Minerals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Rana Gruber and Green Minerals.
Diversification Opportunities for Rana Gruber and Green Minerals
-0.26 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Rana and Green is -0.26. Overlapping area represents the amount of risk that can be diversified away by holding Rana Gruber AS and Green Minerals AS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Green Minerals AS and Rana Gruber 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 Rana Gruber AS are associated (or correlated) with Green Minerals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Green Minerals AS has no effect on the direction of Rana Gruber i.e., Rana Gruber and Green Minerals go up and down completely randomly.
Pair Corralation between Rana Gruber and Green Minerals
Assuming the 90 days trading horizon Rana Gruber AS is expected to generate 0.5 times more return on investment than Green Minerals. However, Rana Gruber AS is 2.0 times less risky than Green Minerals. It trades about 0.01 of its potential returns per unit of risk. Green Minerals AS is currently generating about -0.07 per unit of risk. If you would invest 7,654 in Rana Gruber AS on September 1, 2024 and sell it today you would earn a total of 6.00 from holding Rana Gruber AS or generate 0.08% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Rana Gruber AS vs. Green Minerals AS
Performance |
| Timeline |
| Rana Gruber AS |
| Green Minerals AS |
Rana Gruber and Green Minerals Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Rana Gruber and Green Minerals
The main advantage of trading using opposite Rana Gruber and Green Minerals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Rana Gruber position performs unexpectedly, Green Minerals 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 Green Minerals will offset losses from the drop in Green Minerals' long position.| Rana Gruber vs. Cloudberry Clean Energy | Rana Gruber vs. Skue Sparebank | Rana Gruber vs. SpareBank 1 stlandet | Rana Gruber vs. Morrow Bank ASA |
| Green Minerals vs. Nordic Technology Group | Green Minerals vs. Morrow Bank ASA | Green Minerals vs. Odfjell Technology | Green Minerals vs. Sparebank 1 SMN |
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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