Correlation Between Bank of America and Medical Properties
Can any of the company-specific risk be diversified away by investing in both Bank of America and Medical Properties 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 Bank of America and Medical Properties into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Verizon Communications and Medical Properties Trust, you can compare the effects of market volatilities on Bank of America and Medical Properties 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 Bank of America with a short position of Medical Properties. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Medical Properties.
Diversification Opportunities for Bank of America and Medical Properties
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Bank and Medical is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Verizon Communications and Medical Properties Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Medical Properties Trust and Bank of America 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 Verizon Communications are associated (or correlated) with Medical Properties. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Medical Properties Trust has no effect on the direction of Bank of America i.e., Bank of America and Medical Properties go up and down completely randomly.
Pair Corralation between Bank of America and Medical Properties
Assuming the 90 days trading horizon Bank of America is expected to generate 1.27 times less return on investment than Medical Properties. But when comparing it to its historical volatility, Verizon Communications is 3.75 times less risky than Medical Properties. It trades about 0.05 of its potential returns per unit of risk. Medical Properties Trust is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 397.00 in Medical Properties Trust on October 3, 2024 and sell it today you would lose (42.00) from holding Medical Properties Trust or give up 10.58% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Verizon Communications vs. Medical Properties Trust
Performance |
Timeline |
Verizon Communications |
Medical Properties Trust |
Bank of America and Medical Properties Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Medical Properties
The main advantage of trading using opposite Bank of America and Medical Properties positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Medical Properties 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 Medical Properties will offset losses from the drop in Medical Properties' long position.Bank of America vs. Apple Inc | Bank of America vs. Apple Inc | Bank of America vs. Apple Inc | Bank of America vs. Apple Inc |
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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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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