Correlation Between Mid Penn and Univest Pennsylvania
Can any of the company-specific risk be diversified away by investing in both Mid Penn and Univest Pennsylvania 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 Mid Penn and Univest Pennsylvania into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mid Penn Bancorp and Univest Pennsylvania, you can compare the effects of market volatilities on Mid Penn and Univest Pennsylvania 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 Mid Penn with a short position of Univest Pennsylvania. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mid Penn and Univest Pennsylvania.
Diversification Opportunities for Mid Penn and Univest Pennsylvania
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Mid and Univest is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Mid Penn Bancorp and Univest Pennsylvania in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Univest Pennsylvania and Mid Penn 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 Mid Penn Bancorp are associated (or correlated) with Univest Pennsylvania. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Univest Pennsylvania has no effect on the direction of Mid Penn i.e., Mid Penn and Univest Pennsylvania go up and down completely randomly.
Pair Corralation between Mid Penn and Univest Pennsylvania
Considering the 90-day investment horizon Mid Penn is expected to generate 1.39 times less return on investment than Univest Pennsylvania. But when comparing it to its historical volatility, Mid Penn Bancorp is 1.38 times less risky than Univest Pennsylvania. It trades about 0.09 of its potential returns per unit of risk. Univest Pennsylvania is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 2,808 in Univest Pennsylvania on September 3, 2024 and sell it today you would earn a total of 368.00 from holding Univest Pennsylvania or generate 13.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Mid Penn Bancorp vs. Univest Pennsylvania
Performance |
Timeline |
Mid Penn Bancorp |
Univest Pennsylvania |
Mid Penn and Univest Pennsylvania Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mid Penn and Univest Pennsylvania
The main advantage of trading using opposite Mid Penn and Univest Pennsylvania positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mid Penn position performs unexpectedly, Univest Pennsylvania 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 Univest Pennsylvania will offset losses from the drop in Univest Pennsylvania's long position.Mid Penn vs. Affinity Bancshares | Mid Penn vs. Home Federal Bancorp | Mid Penn vs. Franklin Financial Services | Mid Penn vs. ACNB Corporation |
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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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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