Correlation Between Bank of America and NTG Clarity
Can any of the company-specific risk be diversified away by investing in both Bank of America and NTG Clarity 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 NTG Clarity 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 NTG Clarity Networks, you can compare the effects of market volatilities on Bank of America and NTG Clarity 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 NTG Clarity. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and NTG Clarity.
Diversification Opportunities for Bank of America and NTG Clarity
-0.12 | Correlation Coefficient |
Good diversification
The 3 months correlation between Bank and NTG is -0.12. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and NTG Clarity Networks in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NTG Clarity Networks 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 NTG Clarity. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NTG Clarity Networks has no effect on the direction of Bank of America i.e., Bank of America and NTG Clarity go up and down completely randomly.
Pair Corralation between Bank of America and NTG Clarity
Considering the 90-day investment horizon Bank of America is expected to generate 18.02 times less return on investment than NTG Clarity. But when comparing it to its historical volatility, Bank of America is 4.39 times less risky than NTG Clarity. It trades about 0.04 of its potential returns per unit of risk. NTG Clarity Networks is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 118.00 in NTG Clarity Networks on November 6, 2024 and sell it today you would earn a total of 62.00 from holding NTG Clarity Networks or generate 52.54% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 96.72% |
| Values | Daily Returns |
Bank of America vs. NTG Clarity Networks
Performance |
| Timeline |
| Bank of America |
| NTG Clarity Networks |
Bank of America and NTG Clarity Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and NTG Clarity
The main advantage of trading using opposite Bank of America and NTG Clarity positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, NTG Clarity 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 NTG Clarity will offset losses from the drop in NTG Clarity'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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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