Correlation Between Bank of America and Fuse Science
Can any of the company-specific risk be diversified away by investing in both Bank of America and Fuse Science 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 Fuse Science 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 Fuse Science, you can compare the effects of market volatilities on Bank of America and Fuse Science 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 Fuse Science. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Fuse Science.
Diversification Opportunities for Bank of America and Fuse Science
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Bank and Fuse is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Fuse Science in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fuse Science 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 Fuse Science. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fuse Science has no effect on the direction of Bank of America i.e., Bank of America and Fuse Science go up and down completely randomly.
Pair Corralation between Bank of America and Fuse Science
Considering the 90-day investment horizon Bank of America is expected to generate 10.33 times less return on investment than Fuse Science. But when comparing it to its historical volatility, Bank of America is 9.56 times less risky than Fuse Science. It trades about 0.05 of its potential returns per unit of risk. Fuse Science is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 1.23 in Fuse Science on August 27, 2024 and sell it today you would lose (0.73) from holding Fuse Science or give up 59.35% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bank of America vs. Fuse Science
Performance |
| Timeline |
| Bank of America |
| Fuse Science |
Bank of America and Fuse Science Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and Fuse Science
The main advantage of trading using opposite Bank of America and Fuse Science positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Fuse Science 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 Fuse Science will offset losses from the drop in Fuse Science's long position.| Bank of America vs. Nu Holdings | Bank of America vs. HSBC Holdings PLC | Bank of America vs. Bank of Montreal | Bank of America vs. Bank of Nova |
| Fuse Science vs. CAVU Resources | Fuse Science vs. Epazz Inc | Fuse Science vs. Pervasip Corp | Fuse Science vs. Grillit |
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 Money Managers module to screen money managers from public funds and ETFs managed around the world.
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