Correlation Between Bank of America and Iron Mountain
Can any of the company-specific risk be diversified away by investing in both Bank of America and Iron Mountain 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 Iron Mountain into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank of America and Iron Mountain Incorporated, you can compare the effects of market volatilities on Bank of America and Iron Mountain 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 Iron Mountain. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Iron Mountain.
Diversification Opportunities for Bank of America and Iron Mountain
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Bank and Iron is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Iron Mountain Incorporated in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Iron Mountain 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 Bank of America are associated (or correlated) with Iron Mountain. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Iron Mountain has no effect on the direction of Bank of America i.e., Bank of America and Iron Mountain go up and down completely randomly.
Pair Corralation between Bank of America and Iron Mountain
Assuming the 90 days trading horizon Bank of America is expected to generate 0.74 times more return on investment than Iron Mountain. However, Bank of America is 1.35 times less risky than Iron Mountain. It trades about 0.19 of its potential returns per unit of risk. Iron Mountain Incorporated is currently generating about -0.04 per unit of risk. If you would invest 5,832 in Bank of America on October 14, 2024 and sell it today you would earn a total of 1,071 from holding Bank of America or generate 18.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.33% |
Values | Daily Returns |
Bank of America vs. Iron Mountain Incorporated
Performance |
Timeline |
Bank of America |
Iron Mountain |
Bank of America and Iron Mountain Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Iron Mountain
The main advantage of trading using opposite Bank of America and Iron Mountain positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Iron Mountain 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 Iron Mountain will offset losses from the drop in Iron Mountain's long position.Bank of America vs. Check Point Software | Bank of America vs. United Natural Foods, | Bank of America vs. Marfrig Global Foods | Bank of America vs. Pure Storage, |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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