Correlation Between Univest Pennsylvania and Arrow Financial
Can any of the company-specific risk be diversified away by investing in both Univest Pennsylvania and Arrow 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 Univest Pennsylvania and Arrow Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Univest Pennsylvania and Arrow Financial, you can compare the effects of market volatilities on Univest Pennsylvania and Arrow 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 Univest Pennsylvania with a short position of Arrow Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Univest Pennsylvania and Arrow Financial.
Diversification Opportunities for Univest Pennsylvania and Arrow Financial
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Univest and Arrow is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding Univest Pennsylvania and Arrow Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Arrow Financial and Univest Pennsylvania 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 Univest Pennsylvania are associated (or correlated) with Arrow Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Arrow Financial has no effect on the direction of Univest Pennsylvania i.e., Univest Pennsylvania and Arrow Financial go up and down completely randomly.
Pair Corralation between Univest Pennsylvania and Arrow Financial
Given the investment horizon of 90 days Univest Pennsylvania is expected to generate 0.95 times more return on investment than Arrow Financial. However, Univest Pennsylvania is 1.06 times less risky than Arrow Financial. It trades about -0.02 of its potential returns per unit of risk. Arrow Financial is currently generating about -0.05 per unit of risk. If you would invest 2,942 in Univest Pennsylvania on December 28, 2024 and sell it today you would lose (77.00) from holding Univest Pennsylvania or give up 2.62% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Univest Pennsylvania vs. Arrow Financial
Performance |
Timeline |
Univest Pennsylvania |
Arrow Financial |
Univest Pennsylvania and Arrow Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Univest Pennsylvania and Arrow Financial
The main advantage of trading using opposite Univest Pennsylvania and Arrow Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Univest Pennsylvania position performs unexpectedly, Arrow 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 Arrow Financial will offset losses from the drop in Arrow Financial's long position.Univest Pennsylvania vs. Waterstone Financial | Univest Pennsylvania vs. Mid Penn Bancorp | Univest Pennsylvania vs. ST Bancorp | Univest Pennsylvania vs. Republic 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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