Correlation Between Byline Bancorp and FB Financial
Can any of the company-specific risk be diversified away by investing in both Byline Bancorp and FB Financial 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 FB Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Byline Bancorp and FB Financial Corp, you can compare the effects of market volatilities on Byline Bancorp and FB Financial 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 FB Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Byline Bancorp and FB Financial.
Diversification Opportunities for Byline Bancorp and FB Financial
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Byline and FBK is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding Byline Bancorp and FB Financial Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FB Financial Corp 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 FB Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FB Financial Corp has no effect on the direction of Byline Bancorp i.e., Byline Bancorp and FB Financial go up and down completely randomly.
Pair Corralation between Byline Bancorp and FB Financial
Allowing for the 90-day total investment horizon Byline Bancorp is expected to generate 1.07 times more return on investment than FB Financial. However, Byline Bancorp is 1.07 times more volatile than FB Financial Corp. It trades about 0.18 of its potential returns per unit of risk. FB Financial Corp is currently generating about 0.16 per unit of risk. If you would invest 2,733 in Byline Bancorp on August 30, 2024 and sell it today you would earn a total of 419.00 from holding Byline Bancorp or generate 15.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 95.65% |
Values | Daily Returns |
Byline Bancorp vs. FB Financial Corp
Performance |
Timeline |
Byline Bancorp |
FB Financial Corp |
Byline Bancorp and FB Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Byline Bancorp and FB Financial
The main advantage of trading using opposite Byline Bancorp and FB Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Byline Bancorp position performs unexpectedly, FB Financial 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 FB Financial will offset losses from the drop in FB Financial's long position.Byline Bancorp vs. Affinity Bancshares | Byline Bancorp vs. Home Federal Bancorp | Byline Bancorp vs. LINKBANCORP | Byline Bancorp vs. Bankwell Financial Group |
FB Financial vs. Home Bancorp | FB Financial vs. First Business Financial | FB Financial vs. LINKBANCORP | FB Financial vs. Great Southern Bancorp |
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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