Correlation Between Columbia Financial and Byline Bancorp
Can any of the company-specific risk be diversified away by investing in both Columbia Financial and Byline Bancorp 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 Columbia Financial and Byline Bancorp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Columbia Financial and Byline Bancorp, you can compare the effects of market volatilities on Columbia Financial and Byline Bancorp 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 Columbia Financial with a short position of Byline Bancorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Columbia Financial and Byline Bancorp.
Diversification Opportunities for Columbia Financial and Byline Bancorp
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Columbia and Byline is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Columbia Financial and Byline Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Byline Bancorp and Columbia Financial 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 Columbia Financial are associated (or correlated) with Byline Bancorp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Byline Bancorp has no effect on the direction of Columbia Financial i.e., Columbia Financial and Byline Bancorp go up and down completely randomly.
Pair Corralation between Columbia Financial and Byline Bancorp
Given the investment horizon of 90 days Columbia Financial is expected to under-perform the Byline Bancorp. In addition to that, Columbia Financial is 1.06 times more volatile than Byline Bancorp. It trades about -0.01 of its total potential returns per unit of risk. Byline Bancorp is currently generating about 0.08 per unit of volatility. If you would invest 2,303 in Byline Bancorp on September 13, 2024 and sell it today you would earn a total of 873.00 from holding Byline Bancorp or generate 37.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Columbia Financial vs. Byline Bancorp
Performance |
Timeline |
Columbia Financial |
Byline Bancorp |
Columbia Financial and Byline Bancorp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Columbia Financial and Byline Bancorp
The main advantage of trading using opposite Columbia Financial and Byline Bancorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Columbia Financial position performs unexpectedly, Byline Bancorp 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 Byline Bancorp will offset losses from the drop in Byline Bancorp's long position.Columbia Financial vs. Community West Bancshares | Columbia Financial vs. First Financial Northwest | Columbia Financial vs. First Northwest Bancorp | Columbia Financial vs. First Capital |
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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 Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..
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