Correlation Between CVB Financial and Auburn National
Can any of the company-specific risk be diversified away by investing in both CVB Financial and Auburn National 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 Auburn National into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CVB Financial and Auburn National Bancorporation, you can compare the effects of market volatilities on CVB Financial and Auburn National 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 Auburn National. Check out your portfolio center. Please also check ongoing floating volatility patterns of CVB Financial and Auburn National.
Diversification Opportunities for CVB Financial and Auburn National
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between CVB and Auburn is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding CVB Financial and Auburn National Bancorp. in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Auburn National Banc 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 Auburn National. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Auburn National Banc has no effect on the direction of CVB Financial i.e., CVB Financial and Auburn National go up and down completely randomly.
Pair Corralation between CVB Financial and Auburn National
Given the investment horizon of 90 days CVB Financial is expected to under-perform the Auburn National. But the stock apears to be less risky and, when comparing its historical volatility, CVB Financial is 1.1 times less risky than Auburn National. The stock trades about -0.14 of its potential returns per unit of risk. The Auburn National Bancorporation is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest 2,274 in Auburn National Bancorporation on November 29, 2024 and sell it today you would lose (115.00) from holding Auburn National Bancorporation or give up 5.06% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
CVB Financial vs. Auburn National Bancorp.
Performance |
Timeline |
CVB Financial |
Auburn National Banc |
CVB Financial and Auburn National Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CVB Financial and Auburn National
The main advantage of trading using opposite CVB Financial and Auburn National positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CVB Financial position performs unexpectedly, Auburn National 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 Auburn National will offset losses from the drop in Auburn National's long position.CVB Financial vs. First Interstate BancSystem | CVB Financial vs. First Financial Bankshares | CVB Financial vs. Eagle Bancorp Montana | CVB Financial vs. Brookline 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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