Correlation Between Penns Woods and 1st Source
Can any of the company-specific risk be diversified away by investing in both Penns Woods and 1st Source 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 Penns Woods and 1st Source into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Penns Woods Bancorp and 1st Source, you can compare the effects of market volatilities on Penns Woods and 1st Source 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 Penns Woods with a short position of 1st Source. Check out your portfolio center. Please also check ongoing floating volatility patterns of Penns Woods and 1st Source.
Diversification Opportunities for Penns Woods and 1st Source
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Penns and 1st is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Penns Woods Bancorp and 1st Source in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on 1st Source and Penns Woods 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 Penns Woods Bancorp are associated (or correlated) with 1st Source. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of 1st Source has no effect on the direction of Penns Woods i.e., Penns Woods and 1st Source go up and down completely randomly.
Pair Corralation between Penns Woods and 1st Source
Given the investment horizon of 90 days Penns Woods Bancorp is expected to generate 0.81 times more return on investment than 1st Source. However, Penns Woods Bancorp is 1.23 times less risky than 1st Source. It trades about 0.37 of its potential returns per unit of risk. 1st Source is currently generating about 0.14 per unit of risk. If you would invest 2,594 in Penns Woods Bancorp on August 29, 2024 and sell it today you would earn a total of 557.00 from holding Penns Woods Bancorp or generate 21.47% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Penns Woods Bancorp vs. 1st Source
Performance |
| Timeline |
| Penns Woods Bancorp |
| 1st Source |
Penns Woods and 1st Source Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Penns Woods and 1st Source
The main advantage of trading using opposite Penns Woods and 1st Source positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Penns Woods position performs unexpectedly, 1st Source 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 1st Source will offset losses from the drop in 1st Source's long position.| Penns Woods vs. 1st Source | Penns Woods vs. Great Southern Bancorp | Penns Woods vs. Waterstone Financial | Penns Woods vs. First Community |
| 1st Source vs. Penns Woods Bancorp | 1st Source vs. Great Southern Bancorp | 1st Source vs. Waterstone Financial | 1st Source vs. Chemung Financial Corp |
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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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