Correlation Between Woori Financial and Penns Woods
Can any of the company-specific risk be diversified away by investing in both Woori Financial and Penns Woods 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 Woori Financial and Penns Woods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Woori Financial Group and Penns Woods Bancorp, you can compare the effects of market volatilities on Woori Financial and Penns Woods 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 Woori Financial with a short position of Penns Woods. Check out your portfolio center. Please also check ongoing floating volatility patterns of Woori Financial and Penns Woods.
Diversification Opportunities for Woori Financial and Penns Woods
-0.52 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Woori and Penns is -0.52. Overlapping area represents the amount of risk that can be diversified away by holding Woori Financial Group and Penns Woods Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Penns Woods Bancorp and Woori 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 Woori Financial Group are associated (or correlated) with Penns Woods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Penns Woods Bancorp has no effect on the direction of Woori Financial i.e., Woori Financial and Penns Woods go up and down completely randomly.
Pair Corralation between Woori Financial and Penns Woods
Allowing for the 90-day total investment horizon Woori Financial is expected to generate 1.21 times less return on investment than Penns Woods. But when comparing it to its historical volatility, Woori Financial Group is 1.0 times less risky than Penns Woods. It trades about 0.07 of its potential returns per unit of risk. Penns Woods Bancorp is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 2,146 in Penns Woods Bancorp on August 25, 2024 and sell it today you would earn a total of 895.00 from holding Penns Woods Bancorp or generate 41.71% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Woori Financial Group vs. Penns Woods Bancorp
Performance |
| Timeline |
| Woori Financial Group |
| Penns Woods Bancorp |
Woori Financial and Penns Woods Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Woori Financial and Penns Woods
The main advantage of trading using opposite Woori Financial and Penns Woods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Woori Financial position performs unexpectedly, Penns Woods 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 Penns Woods will offset losses from the drop in Penns Woods' long position.| Woori Financial vs. Banco Santander Brasil | Woori Financial vs. CrossFirst Bankshares | Woori Financial vs. Banco Bradesco SA | Woori Financial vs. CF Bankshares |
| Penns Woods vs. 1st Source | Penns Woods vs. Great Southern Bancorp | Penns Woods vs. Waterstone Financial | Penns Woods vs. First Community |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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