Correlation Between Neinor Homes and Cellnex Telecom
Can any of the company-specific risk be diversified away by investing in both Neinor Homes and Cellnex Telecom 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 Neinor Homes and Cellnex Telecom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Neinor Homes SLU and Cellnex Telecom SA, you can compare the effects of market volatilities on Neinor Homes and Cellnex Telecom 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 Neinor Homes with a short position of Cellnex Telecom. Check out your portfolio center. Please also check ongoing floating volatility patterns of Neinor Homes and Cellnex Telecom.
Diversification Opportunities for Neinor Homes and Cellnex Telecom
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Neinor and Cellnex is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding Neinor Homes SLU and Cellnex Telecom SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cellnex Telecom SA and Neinor Homes 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 Neinor Homes SLU are associated (or correlated) with Cellnex Telecom. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cellnex Telecom SA has no effect on the direction of Neinor Homes i.e., Neinor Homes and Cellnex Telecom go up and down completely randomly.
Pair Corralation between Neinor Homes and Cellnex Telecom
Assuming the 90 days trading horizon Neinor Homes SLU is expected to generate 0.98 times more return on investment than Cellnex Telecom. However, Neinor Homes SLU is 1.02 times less risky than Cellnex Telecom. It trades about 0.06 of its potential returns per unit of risk. Cellnex Telecom SA is currently generating about 0.03 per unit of risk. If you would invest 1,452 in Neinor Homes SLU on December 4, 2024 and sell it today you would earn a total of 80.00 from holding Neinor Homes SLU or generate 5.51% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Neinor Homes SLU vs. Cellnex Telecom SA
Performance |
Timeline |
Neinor Homes SLU |
Cellnex Telecom SA |
Neinor Homes and Cellnex Telecom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Neinor Homes and Cellnex Telecom
The main advantage of trading using opposite Neinor Homes and Cellnex Telecom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Neinor Homes position performs unexpectedly, Cellnex Telecom 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 Cellnex Telecom will offset losses from the drop in Cellnex Telecom's long position.Neinor Homes vs. Aedas Homes SL | Neinor Homes vs. Metrovacesa SA | Neinor Homes vs. Merlin Properties SOCIMI | Neinor Homes vs. Inmobiliaria Colonial SA |
Cellnex Telecom vs. Grifols SA | Cellnex Telecom vs. Aena SA | Cellnex Telecom vs. ACS Actividades de | Cellnex Telecom vs. Ferrovial SA |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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