Correlation Between Bank of America and Currency Exchange
Can any of the company-specific risk be diversified away by investing in both Bank of America and Currency Exchange 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 Currency Exchange 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 Currency Exchange International, you can compare the effects of market volatilities on Bank of America and Currency Exchange 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 Currency Exchange. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Currency Exchange.
Diversification Opportunities for Bank of America and Currency Exchange
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Bank and Currency is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Currency Exchange Internationa in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Currency Exchange 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 Currency Exchange. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Currency Exchange has no effect on the direction of Bank of America i.e., Bank of America and Currency Exchange go up and down completely randomly.
Pair Corralation between Bank of America and Currency Exchange
Assuming the 90 days trading horizon Bank of America is expected to generate 1.65 times more return on investment than Currency Exchange. However, Bank of America is 1.65 times more volatile than Currency Exchange International. It trades about -0.05 of its potential returns per unit of risk. Currency Exchange International is currently generating about -0.19 per unit of risk. If you would invest 2,271 in Bank of America on December 30, 2024 and sell it today you would lose (143.00) from holding Bank of America or give up 6.3% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of America vs. Currency Exchange Internationa
Performance |
Timeline |
Bank of America |
Currency Exchange |
Bank of America and Currency Exchange Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Currency Exchange
The main advantage of trading using opposite Bank of America and Currency Exchange positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Currency Exchange 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 Currency Exchange will offset losses from the drop in Currency Exchange's long position.Bank of America vs. Brookfield Investments | Bank of America vs. Orbit Garant Drilling | Bank of America vs. Toronto Dominion Bank | Bank of America vs. Farstarcap Investment Corp |
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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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
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