Correlation Between First Capital and Byline Bancorp
Can any of the company-specific risk be diversified away by investing in both First Capital 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 First Capital and Byline Bancorp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Capital and Byline Bancorp, you can compare the effects of market volatilities on First Capital 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 First Capital with a short position of Byline Bancorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Capital and Byline Bancorp.
Diversification Opportunities for First Capital and Byline Bancorp
-0.7 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between First and Byline is -0.7. Overlapping area represents the amount of risk that can be diversified away by holding First Capital and Byline Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Byline Bancorp and First Capital 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 First Capital 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 First Capital i.e., First Capital and Byline Bancorp go up and down completely randomly.
Pair Corralation between First Capital and Byline Bancorp
Given the investment horizon of 90 days First Capital is expected to generate 1.6 times more return on investment than Byline Bancorp. However, First Capital is 1.6 times more volatile than Byline Bancorp. It trades about -0.16 of its potential returns per unit of risk. Byline Bancorp is currently generating about -0.29 per unit of risk. If you would invest 3,247 in First Capital on September 23, 2024 and sell it today you would lose (250.00) from holding First Capital or give up 7.7% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
First Capital vs. Byline Bancorp
Performance |
Timeline |
First Capital |
Byline Bancorp |
First Capital and Byline Bancorp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Capital and Byline Bancorp
The main advantage of trading using opposite First Capital and Byline Bancorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Capital 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.First Capital vs. Home Federal Bancorp | First Capital vs. First Northwest Bancorp | First Capital vs. Community West Bancshares | First Capital vs. HomeTrust Bancshares |
Byline Bancorp vs. Home Federal Bancorp | Byline Bancorp vs. First Northwest Bancorp | Byline Bancorp vs. Community West Bancshares | Byline Bancorp vs. HomeTrust Bancshares |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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