Correlation Between Veritex Holdings and ConnectOne Bancorp
Can any of the company-specific risk be diversified away by investing in both Veritex Holdings and ConnectOne 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 Veritex Holdings and ConnectOne Bancorp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Veritex Holdings and ConnectOne Bancorp, you can compare the effects of market volatilities on Veritex Holdings and ConnectOne 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 Veritex Holdings with a short position of ConnectOne Bancorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Veritex Holdings and ConnectOne Bancorp.
Diversification Opportunities for Veritex Holdings and ConnectOne Bancorp
0.07 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Veritex and ConnectOne is 0.07. Overlapping area represents the amount of risk that can be diversified away by holding Veritex Holdings and ConnectOne Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ConnectOne Bancorp and Veritex Holdings 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 Veritex Holdings are associated (or correlated) with ConnectOne Bancorp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ConnectOne Bancorp has no effect on the direction of Veritex Holdings i.e., Veritex Holdings and ConnectOne Bancorp go up and down completely randomly.
Pair Corralation between Veritex Holdings and ConnectOne Bancorp
Given the investment horizon of 90 days Veritex Holdings is expected to generate 1.63 times less return on investment than ConnectOne Bancorp. In addition to that, Veritex Holdings is 1.31 times more volatile than ConnectOne Bancorp. It trades about 0.01 of its total potential returns per unit of risk. ConnectOne Bancorp is currently generating about 0.03 per unit of volatility. If you would invest 1,878 in ConnectOne Bancorp on October 22, 2024 and sell it today you would earn a total of 419.00 from holding ConnectOne Bancorp or generate 22.31% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 99.8% |
Values | Daily Returns |
Veritex Holdings vs. ConnectOne Bancorp
Performance |
Timeline |
Veritex Holdings |
ConnectOne Bancorp |
Veritex Holdings and ConnectOne Bancorp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Veritex Holdings and ConnectOne Bancorp
The main advantage of trading using opposite Veritex Holdings and ConnectOne Bancorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Veritex Holdings position performs unexpectedly, ConnectOne 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 ConnectOne Bancorp will offset losses from the drop in ConnectOne Bancorp's long position.Veritex Holdings vs. Finward Bancorp | Veritex Holdings vs. Franklin Financial Services | Veritex Holdings vs. Home Bancorp | Veritex Holdings vs. LINKBANCORP |
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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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