Correlation Between Medical Properties and FDO INV
Can any of the company-specific risk be diversified away by investing in both Medical Properties and FDO INV 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 Medical Properties and FDO INV into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Medical Properties Trust, and FDO INV IMOB, you can compare the effects of market volatilities on Medical Properties and FDO INV 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 Medical Properties with a short position of FDO INV. Check out your portfolio center. Please also check ongoing floating volatility patterns of Medical Properties and FDO INV.
Diversification Opportunities for Medical Properties and FDO INV
-0.66 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Medical and FDO is -0.66. Overlapping area represents the amount of risk that can be diversified away by holding Medical Properties Trust, and FDO INV IMOB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FDO INV IMOB and Medical Properties 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 Medical Properties Trust, are associated (or correlated) with FDO INV. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FDO INV IMOB has no effect on the direction of Medical Properties i.e., Medical Properties and FDO INV go up and down completely randomly.
Pair Corralation between Medical Properties and FDO INV
Assuming the 90 days trading horizon Medical Properties Trust, is expected to under-perform the FDO INV. In addition to that, Medical Properties is 74.67 times more volatile than FDO INV IMOB. It trades about -0.04 of its total potential returns per unit of risk. FDO INV IMOB is currently generating about -0.24 per unit of volatility. If you would invest 144,490 in FDO INV IMOB on October 9, 2024 and sell it today you would lose (240.00) from holding FDO INV IMOB or give up 0.17% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 94.44% |
Values | Daily Returns |
Medical Properties Trust, vs. FDO INV IMOB
Performance |
Timeline |
Medical Properties Trust, |
FDO INV IMOB |
Medical Properties and FDO INV Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Medical Properties and FDO INV
The main advantage of trading using opposite Medical Properties and FDO INV positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Medical Properties position performs unexpectedly, FDO INV 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 FDO INV will offset losses from the drop in FDO INV's long position.Medical Properties vs. Healthpeak Properties | Medical Properties vs. Energisa SA | Medical Properties vs. BTG Pactual Logstica | Medical Properties vs. Plano Plano Desenvolvimento |
FDO INV vs. Energisa SA | FDO INV vs. BTG Pactual Logstica | FDO INV vs. Plano Plano Desenvolvimento | FDO INV vs. Ares Management |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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