Correlation Between Truist Financial and Kearny Financial
Can any of the company-specific risk be diversified away by investing in both Truist Financial and Kearny Financial 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 Truist Financial and Kearny Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Truist Financial and Kearny Financial Corp, you can compare the effects of market volatilities on Truist Financial and Kearny Financial 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 Truist Financial with a short position of Kearny Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Truist Financial and Kearny Financial.
Diversification Opportunities for Truist Financial and Kearny Financial
0.02 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Truist and Kearny is 0.02. Overlapping area represents the amount of risk that can be diversified away by holding Truist Financial and Kearny Financial Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kearny Financial Corp and Truist 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 Truist Financial are associated (or correlated) with Kearny Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kearny Financial Corp has no effect on the direction of Truist Financial i.e., Truist Financial and Kearny Financial go up and down completely randomly.
Pair Corralation between Truist Financial and Kearny Financial
Assuming the 90 days trading horizon Truist Financial is expected to generate 0.5 times more return on investment than Kearny Financial. However, Truist Financial is 2.0 times less risky than Kearny Financial. It trades about 0.07 of its potential returns per unit of risk. Kearny Financial Corp is currently generating about -0.05 per unit of risk. If you would invest 1,884 in Truist Financial on December 29, 2024 and sell it today you would earn a total of 73.00 from holding Truist Financial or generate 3.87% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Truist Financial vs. Kearny Financial Corp
Performance |
Timeline |
Truist Financial |
Kearny Financial Corp |
Truist Financial and Kearny Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Truist Financial and Kearny Financial
The main advantage of trading using opposite Truist Financial and Kearny Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Truist Financial position performs unexpectedly, Kearny Financial 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 Kearny Financial will offset losses from the drop in Kearny Financial's long position.Truist Financial vs. Truist Financial | Truist Financial vs. Truist Financial | Truist Financial vs. US Bancorp | Truist Financial vs. MetLife Preferred Stock |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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