Correlation Between Supermarket Income and XLMedia PLC
Can any of the company-specific risk be diversified away by investing in both Supermarket Income and XLMedia PLC 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 XLMedia PLC 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 XLMedia PLC, you can compare the effects of market volatilities on Supermarket Income and XLMedia PLC 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 XLMedia PLC. Check out your portfolio center. Please also check ongoing floating volatility patterns of Supermarket Income and XLMedia PLC.
Diversification Opportunities for Supermarket Income and XLMedia PLC
-0.53 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Supermarket and XLMedia is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding Supermarket Income REIT and XLMedia PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on XLMedia PLC 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 XLMedia PLC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of XLMedia PLC has no effect on the direction of Supermarket Income i.e., Supermarket Income and XLMedia PLC go up and down completely randomly.
Pair Corralation between Supermarket Income and XLMedia PLC
Assuming the 90 days trading horizon Supermarket Income REIT is expected to under-perform the XLMedia PLC. But the stock apears to be less risky and, when comparing its historical volatility, Supermarket Income REIT is 6.15 times less risky than XLMedia PLC. The stock trades about -0.07 of its potential returns per unit of risk. The XLMedia PLC is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 725.00 in XLMedia PLC on September 24, 2024 and sell it today you would earn a total of 195.00 from holding XLMedia PLC or generate 26.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Supermarket Income REIT vs. XLMedia PLC
Performance |
Timeline |
Supermarket Income REIT |
XLMedia PLC |
Supermarket Income and XLMedia PLC Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Supermarket Income and XLMedia PLC
The main advantage of trading using opposite Supermarket Income and XLMedia PLC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Supermarket Income position performs unexpectedly, XLMedia PLC 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 XLMedia PLC will offset losses from the drop in XLMedia PLC's long position.Supermarket Income vs. Finnair Oyj | Supermarket Income vs. Bisichi Mining PLC | Supermarket Income vs. Wheaton Precious Metals | Supermarket Income vs. Mindflair 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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