Correlation Between CVB Financial and First Commonwealth
Can any of the company-specific risk be diversified away by investing in both CVB Financial and First Commonwealth 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 CVB Financial and First Commonwealth into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CVB Financial and First Commonwealth Financial, you can compare the effects of market volatilities on CVB Financial and First Commonwealth 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 CVB Financial with a short position of First Commonwealth. Check out your portfolio center. Please also check ongoing floating volatility patterns of CVB Financial and First Commonwealth.
Diversification Opportunities for CVB Financial and First Commonwealth
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between CVB and First is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding CVB Financial and First Commonwealth Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Commonwealth and CVB Financial 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 CVB Financial are associated (or correlated) with First Commonwealth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Commonwealth has no effect on the direction of CVB Financial i.e., CVB Financial and First Commonwealth go up and down completely randomly.
Pair Corralation between CVB Financial and First Commonwealth
Given the investment horizon of 90 days CVB Financial is expected to generate 26.39 times less return on investment than First Commonwealth. In addition to that, CVB Financial is 1.18 times more volatile than First Commonwealth Financial. It trades about 0.0 of its total potential returns per unit of risk. First Commonwealth Financial is currently generating about 0.06 per unit of volatility. If you would invest 1,595 in First Commonwealth Financial on May 18, 2025 and sell it today you would earn a total of 72.00 from holding First Commonwealth Financial or generate 4.51% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
CVB Financial vs. First Commonwealth Financial
Performance |
Timeline |
CVB Financial |
First Commonwealth |
CVB Financial and First Commonwealth Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CVB Financial and First Commonwealth
The main advantage of trading using opposite CVB Financial and First Commonwealth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CVB Financial position performs unexpectedly, First Commonwealth 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 Commonwealth will offset losses from the drop in First Commonwealth's long position.CVB Financial vs. Glacier Bancorp | CVB Financial vs. Capitol Federal Financial | CVB Financial vs. Byline Bancorp | CVB Financial vs. Cathay General Bancorp |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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