Correlation Between Gruppo Mutuionline and Aedas Homes
Can any of the company-specific risk be diversified away by investing in both Gruppo Mutuionline and Aedas Homes 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 Gruppo Mutuionline and Aedas Homes into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gruppo Mutuionline SpA and Aedas Homes SA, you can compare the effects of market volatilities on Gruppo Mutuionline and Aedas Homes 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 Gruppo Mutuionline with a short position of Aedas Homes. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gruppo Mutuionline and Aedas Homes.
Diversification Opportunities for Gruppo Mutuionline and Aedas Homes
-0.54 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Gruppo and Aedas is -0.54. Overlapping area represents the amount of risk that can be diversified away by holding Gruppo Mutuionline SpA and Aedas Homes SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aedas Homes SA and Gruppo Mutuionline 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 Gruppo Mutuionline SpA are associated (or correlated) with Aedas Homes. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aedas Homes SA has no effect on the direction of Gruppo Mutuionline i.e., Gruppo Mutuionline and Aedas Homes go up and down completely randomly.
Pair Corralation between Gruppo Mutuionline and Aedas Homes
Assuming the 90 days trading horizon Gruppo Mutuionline SpA is expected to under-perform the Aedas Homes. But the stock apears to be less risky and, when comparing its historical volatility, Gruppo Mutuionline SpA is 1.09 times less risky than Aedas Homes. The stock trades about -0.07 of its potential returns per unit of risk. The Aedas Homes SA is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 2,397 in Aedas Homes SA on October 25, 2024 and sell it today you would earn a total of 133.00 from holding Aedas Homes SA or generate 5.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Gruppo Mutuionline SpA vs. Aedas Homes SA
Performance |
Timeline |
Gruppo Mutuionline SpA |
Aedas Homes SA |
Gruppo Mutuionline and Aedas Homes Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gruppo Mutuionline and Aedas Homes
The main advantage of trading using opposite Gruppo Mutuionline and Aedas Homes positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gruppo Mutuionline position performs unexpectedly, Aedas Homes 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 Aedas Homes will offset losses from the drop in Aedas Homes' long position.Gruppo Mutuionline vs. CENTURIA OFFICE REIT | Gruppo Mutuionline vs. IMAGIN MEDICAL INC | Gruppo Mutuionline vs. CompuGroup Medical SE | Gruppo Mutuionline vs. Genertec Universal Medical |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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