Correlation Between Medical Properties and Hecla Mining
Can any of the company-specific risk be diversified away by investing in both Medical Properties and Hecla Mining 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 Hecla Mining 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 Hecla Mining Co, you can compare the effects of market volatilities on Medical Properties and Hecla Mining 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 Hecla Mining. Check out your portfolio center. Please also check ongoing floating volatility patterns of Medical Properties and Hecla Mining.
Diversification Opportunities for Medical Properties and Hecla Mining
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Medical and Hecla is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Medical Properties Trust and Hecla Mining Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hecla Mining 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 Hecla Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hecla Mining has no effect on the direction of Medical Properties i.e., Medical Properties and Hecla Mining go up and down completely randomly.
Pair Corralation between Medical Properties and Hecla Mining
Assuming the 90 days trading horizon Medical Properties Trust is expected to generate 1.19 times more return on investment than Hecla Mining. However, Medical Properties is 1.19 times more volatile than Hecla Mining Co. It trades about -0.01 of its potential returns per unit of risk. Hecla Mining Co is currently generating about -0.26 per unit of risk. If you would invest 411.00 in Medical Properties Trust on October 9, 2024 and sell it today you would lose (5.00) from holding Medical Properties Trust or give up 1.22% 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. Hecla Mining Co
Performance |
Timeline |
Medical Properties Trust |
Hecla Mining |
Medical Properties and Hecla Mining Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Medical Properties and Hecla Mining
The main advantage of trading using opposite Medical Properties and Hecla Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Medical Properties position performs unexpectedly, Hecla Mining 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 Hecla Mining will offset losses from the drop in Hecla Mining's long position.Medical Properties vs. Litigation Capital Management | Medical Properties vs. Rosslyn Data Technologies | Medical Properties vs. Silver Bullet Data | Medical Properties vs. GlobalData PLC |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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