Correlation Between Bank of America and Tetragon Financial
Can any of the company-specific risk be diversified away by investing in both Bank of America and Tetragon Financial 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 Tetragon Financial 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 Tetragon Financial Group, you can compare the effects of market volatilities on Bank of America and Tetragon Financial 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 Tetragon Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Tetragon Financial.
Diversification Opportunities for Bank of America and Tetragon Financial
0.09 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Bank and Tetragon is 0.09. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Tetragon Financial Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tetragon Financial 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 Tetragon Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tetragon Financial has no effect on the direction of Bank of America i.e., Bank of America and Tetragon Financial go up and down completely randomly.
Pair Corralation between Bank of America and Tetragon Financial
Considering the 90-day investment horizon Bank of America is expected to generate 2.83 times less return on investment than Tetragon Financial. But when comparing it to its historical volatility, Bank of America is 1.77 times less risky than Tetragon Financial. It trades about 0.14 of its potential returns per unit of risk. Tetragon Financial Group is currently generating about 0.22 of returns per unit of risk over similar time horizon. If you would invest 1,410 in Tetragon Financial Group on November 4, 2024 and sell it today you would earn a total of 150.00 from holding Tetragon Financial Group or generate 10.64% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 90.91% |
| Values | Daily Returns |
Bank of America vs. Tetragon Financial Group
Performance |
| Timeline |
| Bank of America |
| Tetragon Financial |
Bank of America and Tetragon Financial Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and Tetragon Financial
The main advantage of trading using opposite Bank of America and Tetragon Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Tetragon Financial 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 Tetragon Financial will offset losses from the drop in Tetragon Financial's long position.| Bank of America vs. Nu Holdings | Bank of America vs. HSBC Holdings PLC | Bank of America vs. Royal Bank of | Bank of America vs. Canadian Imperial Bank |
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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