Correlation Between Byline Bancorp and First Community
Can any of the company-specific risk be diversified away by investing in both Byline Bancorp and First Community 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 First Community into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Byline Bancorp and First Community, you can compare the effects of market volatilities on Byline Bancorp and First Community 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 First Community. Check out your portfolio center. Please also check ongoing floating volatility patterns of Byline Bancorp and First Community.
Diversification Opportunities for Byline Bancorp and First Community
0.24 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Byline and First is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding Byline Bancorp and First Community in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Community 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 First Community. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Community has no effect on the direction of Byline Bancorp i.e., Byline Bancorp and First Community go up and down completely randomly.
Pair Corralation between Byline Bancorp and First Community
Allowing for the 90-day total investment horizon Byline Bancorp is expected to generate 1.44 times more return on investment than First Community. However, Byline Bancorp is 1.44 times more volatile than First Community. It trades about 0.03 of its potential returns per unit of risk. First Community is currently generating about 0.03 per unit of risk. If you would invest 2,234 in Byline Bancorp on October 7, 2024 and sell it today you would earn a total of 613.00 from holding Byline Bancorp or generate 27.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 82.66% |
Values | Daily Returns |
Byline Bancorp vs. First Community
Performance |
Timeline |
Byline Bancorp |
First Community |
Byline Bancorp and First Community Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Byline Bancorp and First Community
The main advantage of trading using opposite Byline Bancorp and First Community positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Byline Bancorp position performs unexpectedly, First Community 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 First Community will offset losses from the drop in First Community's long position.Byline Bancorp vs. Affinity Bancshares | Byline Bancorp vs. Home Federal Bancorp | Byline Bancorp vs. LINKBANCORP | Byline Bancorp vs. Bankwell Financial Group |
First Community vs. KeyCorp | First Community vs. Maplebear Common Stock | First Community vs. Webster Financial | First Community vs. Aquagold International |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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