Correlation Between Medical Properties and Wheaton Precious
Can any of the company-specific risk be diversified away by investing in both Medical Properties and Wheaton Precious 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 Wheaton Precious 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 Wheaton Precious Metals, you can compare the effects of market volatilities on Medical Properties and Wheaton Precious 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 Wheaton Precious. Check out your portfolio center. Please also check ongoing floating volatility patterns of Medical Properties and Wheaton Precious.
Diversification Opportunities for Medical Properties and Wheaton Precious
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Medical and Wheaton is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding Medical Properties Trust and Wheaton Precious Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wheaton Precious Metals 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 Wheaton Precious. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wheaton Precious Metals has no effect on the direction of Medical Properties i.e., Medical Properties and Wheaton Precious go up and down completely randomly.
Pair Corralation between Medical Properties and Wheaton Precious
Assuming the 90 days trading horizon Medical Properties Trust is expected to under-perform the Wheaton Precious. In addition to that, Medical Properties is 1.29 times more volatile than Wheaton Precious Metals. It trades about -0.15 of its total potential returns per unit of risk. Wheaton Precious Metals is currently generating about 0.06 per unit of volatility. If you would invest 465,011 in Wheaton Precious Metals on September 12, 2024 and sell it today you would earn a total of 34,989 from holding Wheaton Precious Metals or generate 7.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Medical Properties Trust vs. Wheaton Precious Metals
Performance |
Timeline |
Medical Properties Trust |
Wheaton Precious Metals |
Medical Properties and Wheaton Precious Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Medical Properties and Wheaton Precious
The main advantage of trading using opposite Medical Properties and Wheaton Precious positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Medical Properties position performs unexpectedly, Wheaton Precious 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 Wheaton Precious will offset losses from the drop in Wheaton Precious' long position.Medical Properties vs. Hong Kong Land | Medical Properties vs. Neometals | Medical Properties vs. Coor Service Management | Medical Properties vs. Fidelity Sustainable USD |
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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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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