Correlation Between Byline Bancorp and Natwest Group
Can any of the company-specific risk be diversified away by investing in both Byline Bancorp and Natwest Group 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 Byline Bancorp and Natwest Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Byline Bancorp and Natwest Group PLC, you can compare the effects of market volatilities on Byline Bancorp and Natwest Group 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 Byline Bancorp with a short position of Natwest Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Byline Bancorp and Natwest Group.
Diversification Opportunities for Byline Bancorp and Natwest Group
-0.4 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Byline and Natwest is -0.4. Overlapping area represents the amount of risk that can be diversified away by holding Byline Bancorp and Natwest Group PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Natwest Group PLC and Byline Bancorp 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 Byline Bancorp are associated (or correlated) with Natwest Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Natwest Group PLC has no effect on the direction of Byline Bancorp i.e., Byline Bancorp and Natwest Group go up and down completely randomly.
Pair Corralation between Byline Bancorp and Natwest Group
Allowing for the 90-day total investment horizon Byline Bancorp is expected to under-perform the Natwest Group. But the stock apears to be less risky and, when comparing its historical volatility, Byline Bancorp is 1.65 times less risky than Natwest Group. The stock trades about -0.08 of its potential returns per unit of risk. The Natwest Group PLC is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 984.00 in Natwest Group PLC on December 28, 2024 and sell it today you would earn a total of 219.00 from holding Natwest Group PLC or generate 22.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Byline Bancorp vs. Natwest Group PLC
Performance |
Timeline |
Byline Bancorp |
Natwest Group PLC |
Byline Bancorp and Natwest Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Byline Bancorp and Natwest Group
The main advantage of trading using opposite Byline Bancorp and Natwest Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Byline Bancorp position performs unexpectedly, Natwest Group 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 Natwest Group will offset losses from the drop in Natwest Group's long position.Byline Bancorp vs. Affinity Bancshares | Byline Bancorp vs. Home Federal Bancorp | Byline Bancorp vs. LINKBANCORP | Byline Bancorp vs. Bankwell Financial Group |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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