Correlation Between Bank of America and Zijin Mining
Can any of the company-specific risk be diversified away by investing in both Bank of America and Zijin Mining 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 Zijin Mining into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Verizon Communications and Zijin Mining Group, you can compare the effects of market volatilities on Bank of America and Zijin Mining 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 Zijin Mining. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Zijin Mining.
Diversification Opportunities for Bank of America and Zijin Mining
-0.21 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Bank and Zijin is -0.21. Overlapping area represents the amount of risk that can be diversified away by holding Verizon Communications and Zijin Mining Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Zijin Mining Group 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 Zijin Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Zijin Mining Group has no effect on the direction of Bank of America i.e., Bank of America and Zijin Mining go up and down completely randomly.
Pair Corralation between Bank of America and Zijin Mining
Assuming the 90 days trading horizon Verizon Communications is expected to under-perform the Zijin Mining. But the stock apears to be less risky and, when comparing its historical volatility, Verizon Communications is 3.1 times less risky than Zijin Mining. The stock trades about -0.39 of its potential returns per unit of risk. The Zijin Mining Group is currently generating about -0.09 of returns per unit of risk over similar time horizon. If you would invest 179.00 in Zijin Mining Group on September 26, 2024 and sell it today you would lose (12.00) from holding Zijin Mining Group or give up 6.7% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Verizon Communications vs. Zijin Mining Group
Performance |
Timeline |
Verizon Communications |
Zijin Mining Group |
Bank of America and Zijin Mining Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Zijin Mining
The main advantage of trading using opposite Bank of America and Zijin Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Zijin Mining 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 Zijin Mining will offset losses from the drop in Zijin Mining's long position.Bank of America vs. Apple Inc | Bank of America vs. Apple Inc | Bank of America vs. Microsoft | Bank of America vs. Microsoft |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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