Correlation Between Bank of America and Public Storage
Can any of the company-specific risk be diversified away by investing in both Bank of America and Public Storage 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 Public Storage into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Verizon Communications and Public Storage, you can compare the effects of market volatilities on Bank of America and Public Storage 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 Public Storage. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Public Storage.
Diversification Opportunities for Bank of America and Public Storage
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bank and Public is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Verizon Communications and Public Storage in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Public Storage 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 Public Storage. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Public Storage has no effect on the direction of Bank of America i.e., Bank of America and Public Storage go up and down completely randomly.
Pair Corralation between Bank of America and Public Storage
Assuming the 90 days trading horizon Verizon Communications is expected to under-perform the Public Storage. But the stock apears to be less risky and, when comparing its historical volatility, Verizon Communications is 1.09 times less risky than Public Storage. The stock trades about -0.01 of its potential returns per unit of risk. The Public Storage is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 28,550 in Public Storage on October 22, 2024 and sell it today you would earn a total of 500.00 from holding Public Storage or generate 1.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Verizon Communications vs. Public Storage
Performance |
Timeline |
Verizon Communications |
Public Storage |
Bank of America and Public Storage Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Public Storage
The main advantage of trading using opposite Bank of America and Public Storage positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Public Storage 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 Public Storage will offset losses from the drop in Public Storage's long position.Bank of America vs. AEON METALS LTD | Bank of America vs. DAIDO METAL TD | Bank of America vs. Fortescue Metals Group | Bank of America vs. THAI BEVERAGE |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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