Correlation Between CM Hospitalar and Healthcare Realty
Can any of the company-specific risk be diversified away by investing in both CM Hospitalar and Healthcare Realty 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 CM Hospitalar and Healthcare Realty into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CM Hospitalar SA and Healthcare Realty Trust, you can compare the effects of market volatilities on CM Hospitalar and Healthcare Realty 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 CM Hospitalar with a short position of Healthcare Realty. Check out your portfolio center. Please also check ongoing floating volatility patterns of CM Hospitalar and Healthcare Realty.
Diversification Opportunities for CM Hospitalar and Healthcare Realty
-0.4 | Correlation Coefficient |
Very good diversification
The 3 months correlation between VVEO3 and Healthcare is -0.4. Overlapping area represents the amount of risk that can be diversified away by holding CM Hospitalar SA and Healthcare Realty Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Healthcare Realty Trust and CM Hospitalar 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 CM Hospitalar SA are associated (or correlated) with Healthcare Realty. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Healthcare Realty Trust has no effect on the direction of CM Hospitalar i.e., CM Hospitalar and Healthcare Realty go up and down completely randomly.
Pair Corralation between CM Hospitalar and Healthcare Realty
Assuming the 90 days trading horizon CM Hospitalar SA is expected to generate 2.46 times more return on investment than Healthcare Realty. However, CM Hospitalar is 2.46 times more volatile than Healthcare Realty Trust. It trades about 0.03 of its potential returns per unit of risk. Healthcare Realty Trust is currently generating about 0.04 per unit of risk. If you would invest 184.00 in CM Hospitalar SA on October 23, 2024 and sell it today you would earn a total of 3.00 from holding CM Hospitalar SA or generate 1.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 91.38% |
Values | Daily Returns |
CM Hospitalar SA vs. Healthcare Realty Trust
Performance |
Timeline |
CM Hospitalar SA |
Healthcare Realty Trust |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Weak
CM Hospitalar and Healthcare Realty Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CM Hospitalar and Healthcare Realty
The main advantage of trading using opposite CM Hospitalar and Healthcare Realty positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CM Hospitalar position performs unexpectedly, Healthcare Realty 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 Healthcare Realty will offset losses from the drop in Healthcare Realty's long position.CM Hospitalar vs. Profarma Distribuidora de | CM Hospitalar vs. DXC Technology | CM Hospitalar vs. Global X Funds | CM Hospitalar vs. Burlington Stores, |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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