Correlation Between Supermarket Income and Beowulf Mining
Can any of the company-specific risk be diversified away by investing in both Supermarket Income and Beowulf Mining 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 Supermarket Income and Beowulf Mining into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Supermarket Income REIT and Beowulf Mining, you can compare the effects of market volatilities on Supermarket Income and Beowulf Mining 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 Supermarket Income with a short position of Beowulf Mining. Check out your portfolio center. Please also check ongoing floating volatility patterns of Supermarket Income and Beowulf Mining.
Diversification Opportunities for Supermarket Income and Beowulf Mining
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Supermarket and Beowulf is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Supermarket Income REIT and Beowulf Mining in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Beowulf Mining and Supermarket Income 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 Supermarket Income REIT are associated (or correlated) with Beowulf Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Beowulf Mining has no effect on the direction of Supermarket Income i.e., Supermarket Income and Beowulf Mining go up and down completely randomly.
Pair Corralation between Supermarket Income and Beowulf Mining
Assuming the 90 days trading horizon Supermarket Income REIT is expected to generate 0.19 times more return on investment than Beowulf Mining. However, Supermarket Income REIT is 5.39 times less risky than Beowulf Mining. It trades about 0.17 of its potential returns per unit of risk. Beowulf Mining is currently generating about -0.2 per unit of risk. If you would invest 6,800 in Supermarket Income REIT on September 15, 2024 and sell it today you would earn a total of 210.00 from holding Supermarket Income REIT or generate 3.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Supermarket Income REIT vs. Beowulf Mining
Performance |
Timeline |
Supermarket Income REIT |
Beowulf Mining |
Supermarket Income and Beowulf Mining Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Supermarket Income and Beowulf Mining
The main advantage of trading using opposite Supermarket Income and Beowulf Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Supermarket Income position performs unexpectedly, Beowulf Mining 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 Beowulf Mining will offset losses from the drop in Beowulf Mining's long position.Supermarket Income vs. Derwent London PLC | Supermarket Income vs. Hammerson PLC | Supermarket Income vs. Workspace Group PLC | Supermarket Income vs. DS Smith PLC |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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