Correlation Between Bank of America and Cref Money
Can any of the company-specific risk be diversified away by investing in both Bank of America and Cref Money 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 Cref Money 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 Cref Money Market, you can compare the effects of market volatilities on Bank of America and Cref Money 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 Cref Money. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Cref Money.
Diversification Opportunities for Bank of America and Cref Money
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Bank and Cref is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Cref Money Market in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cref Money Market 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 Cref Money. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cref Money Market has no effect on the direction of Bank of America i.e., Bank of America and Cref Money go up and down completely randomly.
Pair Corralation between Bank of America and Cref Money
Considering the 90-day investment horizon Bank of America is expected to generate 69.44 times more return on investment than Cref Money. However, Bank of America is 69.44 times more volatile than Cref Money Market. It trades about 0.12 of its potential returns per unit of risk. Cref Money Market is currently generating about 0.94 per unit of risk. If you would invest 3,335 in Bank of America on August 28, 2024 and sell it today you would earn a total of 1,415 from holding Bank of America or generate 42.43% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bank of America vs. Cref Money Market
Performance |
| Timeline |
| Bank of America |
| Cref Money Market |
Bank of America and Cref Money Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and Cref Money
The main advantage of trading using opposite Bank of America and Cref Money positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Cref Money 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 Cref Money will offset losses from the drop in Cref Money'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 |
| Cref Money vs. Vanguard Global Credit | Cref Money vs. Ms Global Fixed | Cref Money vs. T Rowe Price | Cref Money vs. Chartwell Short Duration |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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