Correlation Between Kearny Financial and Ameris Bancorp
Can any of the company-specific risk be diversified away by investing in both Kearny Financial and Ameris 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 Kearny Financial and Ameris Bancorp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kearny Financial Corp and Ameris Bancorp, you can compare the effects of market volatilities on Kearny Financial and Ameris 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 Kearny Financial with a short position of Ameris Bancorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kearny Financial and Ameris Bancorp.
Diversification Opportunities for Kearny Financial and Ameris Bancorp
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Kearny and Ameris is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding Kearny Financial Corp and Ameris Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ameris Bancorp and Kearny 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 Kearny Financial Corp are associated (or correlated) with Ameris Bancorp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ameris Bancorp has no effect on the direction of Kearny Financial i.e., Kearny Financial and Ameris Bancorp go up and down completely randomly.
Pair Corralation between Kearny Financial and Ameris Bancorp
Given the investment horizon of 90 days Kearny Financial Corp is expected to under-perform the Ameris Bancorp. In addition to that, Kearny Financial is 1.14 times more volatile than Ameris Bancorp. It trades about -0.01 of its total potential returns per unit of risk. Ameris Bancorp is currently generating about 0.04 per unit of volatility. If you would invest 4,622 in Ameris Bancorp on September 30, 2024 and sell it today you would earn a total of 1,683 from holding Ameris Bancorp or generate 36.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Kearny Financial Corp vs. Ameris Bancorp
Performance |
Timeline |
Kearny Financial Corp |
Ameris Bancorp |
Kearny Financial and Ameris Bancorp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kearny Financial and Ameris Bancorp
The main advantage of trading using opposite Kearny Financial and Ameris Bancorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kearny Financial position performs unexpectedly, Ameris 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 Ameris Bancorp will offset losses from the drop in Ameris Bancorp's long position.Kearny Financial vs. National Bank Holdings | Kearny Financial vs. Community West Bancshares | Kearny Financial vs. Financial Institutions | Kearny Financial vs. Heritage Financial |
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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