Correlation Between Penns Woods and USA Recycling
Can any of the company-specific risk be diversified away by investing in both Penns Woods and USA Recycling 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 USA Recycling 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 USA Recycling Industries, you can compare the effects of market volatilities on Penns Woods and USA Recycling 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 USA Recycling. Check out your portfolio center. Please also check ongoing floating volatility patterns of Penns Woods and USA Recycling.
Diversification Opportunities for Penns Woods and USA Recycling
-0.66 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Penns and USA is -0.66. Overlapping area represents the amount of risk that can be diversified away by holding Penns Woods Bancorp and USA Recycling Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on USA Recycling Industries 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 USA Recycling. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of USA Recycling Industries has no effect on the direction of Penns Woods i.e., Penns Woods and USA Recycling go up and down completely randomly.
Pair Corralation between Penns Woods and USA Recycling
Given the investment horizon of 90 days Penns Woods Bancorp is expected to generate 0.19 times more return on investment than USA Recycling. However, Penns Woods Bancorp is 5.3 times less risky than USA Recycling. It trades about 0.2 of its potential returns per unit of risk. USA Recycling Industries is currently generating about -0.12 per unit of risk. If you would invest 2,356 in Penns Woods Bancorp on September 29, 2024 and sell it today you would earn a total of 683.00 from holding Penns Woods Bancorp or generate 28.99% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 96.92% |
Values | Daily Returns |
Penns Woods Bancorp vs. USA Recycling Industries
Performance |
Timeline |
Penns Woods Bancorp |
USA Recycling Industries |
Penns Woods and USA Recycling Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Penns Woods and USA Recycling
The main advantage of trading using opposite Penns Woods and USA Recycling positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Penns Woods position performs unexpectedly, USA Recycling 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 USA Recycling will offset losses from the drop in USA Recycling's long position.Penns Woods vs. 1st Source | Penns Woods vs. Great Southern Bancorp | Penns Woods vs. Waterstone Financial | Penns Woods vs. First Community |
USA Recycling vs. HE Equipment Services | USA Recycling vs. Apogee Enterprises | USA Recycling vs. United Rentals | USA Recycling vs. Chemours Co |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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