Correlation Between Bank of America and Koninklijke KPN
Can any of the company-specific risk be diversified away by investing in both Bank of America and Koninklijke KPN 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 Koninklijke KPN 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 Koninklijke KPN NV, you can compare the effects of market volatilities on Bank of America and Koninklijke KPN 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 Koninklijke KPN. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Koninklijke KPN.
Diversification Opportunities for Bank of America and Koninklijke KPN
-0.84 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Bank and Koninklijke is -0.84. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Koninklijke KPN NV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Koninklijke KPN NV 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 Koninklijke KPN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Koninklijke KPN NV has no effect on the direction of Bank of America i.e., Bank of America and Koninklijke KPN go up and down completely randomly.
Pair Corralation between Bank of America and Koninklijke KPN
Considering the 90-day investment horizon Bank of America is expected to generate 2.08 times more return on investment than Koninklijke KPN. However, Bank of America is 2.08 times more volatile than Koninklijke KPN NV. It trades about 0.05 of its potential returns per unit of risk. Koninklijke KPN NV is currently generating about 0.07 per unit of risk. If you would invest 2,747 in Bank of America on January 19, 2025 and sell it today you would earn a total of 994.00 from holding Bank of America or generate 36.18% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Significant |
| Accuracy | 98.02% |
| Values | Daily Returns |
Bank of America vs. Koninklijke KPN NV
Performance |
| Timeline |
| Bank of America |
| Koninklijke KPN NV |
Bank of America and Koninklijke KPN Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and Koninklijke KPN
The main advantage of trading using opposite Bank of America and Koninklijke KPN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Koninklijke KPN 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 Koninklijke KPN will offset losses from the drop in Koninklijke KPN'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 |
| Koninklijke KPN vs. Aegon NV | Koninklijke KPN vs. Koninklijke Philips NV | Koninklijke KPN vs. Randstad NV | Koninklijke KPN vs. Akzo Nobel NV |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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