Correlation Between Medical Properties and Prosiebensat
Can any of the company-specific risk be diversified away by investing in both Medical Properties and Prosiebensat 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 Prosiebensat 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 Prosiebensat 1 Media, you can compare the effects of market volatilities on Medical Properties and Prosiebensat 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 Prosiebensat. Check out your portfolio center. Please also check ongoing floating volatility patterns of Medical Properties and Prosiebensat.
Diversification Opportunities for Medical Properties and Prosiebensat
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Medical and Prosiebensat is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Medical Properties Trust and Prosiebensat 1 Media in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Prosiebensat 1 Media 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 Prosiebensat. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Prosiebensat 1 Media has no effect on the direction of Medical Properties i.e., Medical Properties and Prosiebensat go up and down completely randomly.
Pair Corralation between Medical Properties and Prosiebensat
Assuming the 90 days trading horizon Medical Properties Trust is expected to generate 1.53 times more return on investment than Prosiebensat. However, Medical Properties is 1.53 times more volatile than Prosiebensat 1 Media. It trades about 0.02 of its potential returns per unit of risk. Prosiebensat 1 Media is currently generating about -0.01 per unit of risk. If you would invest 433.00 in Medical Properties Trust on October 5, 2024 and sell it today you would lose (35.00) from holding Medical Properties Trust or give up 8.08% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Medical Properties Trust vs. Prosiebensat 1 Media
Performance |
Timeline |
Medical Properties Trust |
Prosiebensat 1 Media |
Medical Properties and Prosiebensat Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Medical Properties and Prosiebensat
The main advantage of trading using opposite Medical Properties and Prosiebensat positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Medical Properties position performs unexpectedly, Prosiebensat 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 Prosiebensat will offset losses from the drop in Prosiebensat's long position.Medical Properties vs. Supermarket Income REIT | Medical Properties vs. Anglo Asian Mining | Medical Properties vs. Anglesey Mining | Medical Properties vs. Coeur Mining |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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