Correlation Between Bank of America and KebNi AB
Specify exactly 2 symbols:
By analyzing existing cross correlation between Bank of America and KebNi AB, you can compare the effects of market volatilities on Bank of America and KebNi AB 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 KebNi AB. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and KebNi AB.
Diversification Opportunities for Bank of America and KebNi AB
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Bank and KebNi is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and KebNi AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KebNi AB 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 KebNi AB. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KebNi AB has no effect on the direction of Bank of America i.e., Bank of America and KebNi AB go up and down completely randomly.
Pair Corralation between Bank of America and KebNi AB
Considering the 90-day investment horizon Bank of America is expected to under-perform the KebNi AB. But the stock apears to be less risky and, when comparing its historical volatility, Bank of America is 5.11 times less risky than KebNi AB. The stock trades about -0.34 of its potential returns per unit of risk. The KebNi AB is currently generating about 0.22 of returns per unit of risk over similar time horizon. If you would invest 106.00 in KebNi AB on November 28, 2024 and sell it today you would earn a total of 24.00 from holding KebNi AB or generate 22.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 95.65% |
Values | Daily Returns |
Bank of America vs. KebNi AB
Performance |
Timeline |
Bank of America |
KebNi AB |
Bank of America and KebNi AB Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and KebNi AB
The main advantage of trading using opposite Bank of America and KebNi AB positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, KebNi AB 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 KebNi AB will offset losses from the drop in KebNi AB's long position.Bank of America vs. Citigroup | Bank of America vs. Wells Fargo | Bank of America vs. Toronto Dominion Bank | Bank of America vs. Royal Bank of |
KebNi AB vs. Clinical Laserthermia Systems | KebNi AB vs. Net Insight AB | KebNi AB vs. Karolinska Development AB | KebNi AB vs. Mekonomen AB |
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.
Other Complementary Tools
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals |