Correlation Between ConnectOne Bancorp and Vecima Networks
Can any of the company-specific risk be diversified away by investing in both ConnectOne Bancorp and Vecima Networks 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 ConnectOne Bancorp and Vecima Networks into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ConnectOne Bancorp and Vecima Networks, you can compare the effects of market volatilities on ConnectOne Bancorp and Vecima Networks 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 ConnectOne Bancorp with a short position of Vecima Networks. Check out your portfolio center. Please also check ongoing floating volatility patterns of ConnectOne Bancorp and Vecima Networks.
Diversification Opportunities for ConnectOne Bancorp and Vecima Networks
-0.86 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between ConnectOne and Vecima is -0.86. Overlapping area represents the amount of risk that can be diversified away by holding ConnectOne Bancorp and Vecima Networks in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vecima Networks and ConnectOne 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 ConnectOne Bancorp are associated (or correlated) with Vecima Networks. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vecima Networks has no effect on the direction of ConnectOne Bancorp i.e., ConnectOne Bancorp and Vecima Networks go up and down completely randomly.
Pair Corralation between ConnectOne Bancorp and Vecima Networks
Assuming the 90 days horizon ConnectOne Bancorp is expected to generate 0.24 times more return on investment than Vecima Networks. However, ConnectOne Bancorp is 4.11 times less risky than Vecima Networks. It trades about 0.19 of its potential returns per unit of risk. Vecima Networks is currently generating about -0.45 per unit of risk. If you would invest 2,179 in ConnectOne Bancorp on September 22, 2024 and sell it today you would earn a total of 47.00 from holding ConnectOne Bancorp or generate 2.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
ConnectOne Bancorp vs. Vecima Networks
Performance |
Timeline |
ConnectOne Bancorp |
Vecima Networks |
ConnectOne Bancorp and Vecima Networks Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ConnectOne Bancorp and Vecima Networks
The main advantage of trading using opposite ConnectOne Bancorp and Vecima Networks positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ConnectOne Bancorp position performs unexpectedly, Vecima Networks 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 Vecima Networks will offset losses from the drop in Vecima Networks' long position.ConnectOne Bancorp vs. Dime Community Bancshares | ConnectOne Bancorp vs. Washington Federal | ConnectOne Bancorp vs. CNB Financial | ConnectOne Bancorp vs. First Guaranty Bancshares |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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