Correlation Between Bank of America and Nippon Telegraph
Can any of the company-specific risk be diversified away by investing in both Bank of America and Nippon Telegraph 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 Nippon Telegraph into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Verizon Communications and Nippon Telegraph and, you can compare the effects of market volatilities on Bank of America and Nippon Telegraph 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 Nippon Telegraph. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Nippon Telegraph.
Diversification Opportunities for Bank of America and Nippon Telegraph
-0.64 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Bank and Nippon is -0.64. Overlapping area represents the amount of risk that can be diversified away by holding Verizon Communications and Nippon Telegraph and in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nippon Telegraph 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 Verizon Communications are associated (or correlated) with Nippon Telegraph. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nippon Telegraph has no effect on the direction of Bank of America i.e., Bank of America and Nippon Telegraph go up and down completely randomly.
Pair Corralation between Bank of America and Nippon Telegraph
Assuming the 90 days horizon Verizon Communications is expected to generate 0.89 times more return on investment than Nippon Telegraph. However, Verizon Communications is 1.13 times less risky than Nippon Telegraph. It trades about 0.09 of its potential returns per unit of risk. Nippon Telegraph and is currently generating about -0.01 per unit of risk. If you would invest 3,753 in Verizon Communications on December 29, 2024 and sell it today you would earn a total of 397.00 from holding Verizon Communications or generate 10.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
Verizon Communications vs. Nippon Telegraph and
Performance |
Timeline |
Verizon Communications |
Nippon Telegraph |
Bank of America and Nippon Telegraph Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Nippon Telegraph
The main advantage of trading using opposite Bank of America and Nippon Telegraph positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Nippon Telegraph 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 Nippon Telegraph will offset losses from the drop in Nippon Telegraph's long position.Bank of America vs. Shenandoah Telecommunications | Bank of America vs. Keck Seng Investments | Bank of America vs. Charter Communications | Bank of America vs. INTERSHOP Communications Aktiengesellschaft |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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