Correlation Between Parke Bancorp and First Bancorp
Can any of the company-specific risk be diversified away by investing in both Parke Bancorp and First Bancorp 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 Parke Bancorp and First Bancorp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Parke Bancorp and First Bancorp, you can compare the effects of market volatilities on Parke Bancorp and First Bancorp 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 Parke Bancorp with a short position of First Bancorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Parke Bancorp and First Bancorp.
Diversification Opportunities for Parke Bancorp and First Bancorp
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Parke and First is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Parke Bancorp and First Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Bancorp and Parke Bancorp 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 Parke Bancorp are associated (or correlated) with First Bancorp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Bancorp has no effect on the direction of Parke Bancorp i.e., Parke Bancorp and First Bancorp go up and down completely randomly.
Pair Corralation between Parke Bancorp and First Bancorp
Given the investment horizon of 90 days Parke Bancorp is expected to generate 0.53 times more return on investment than First Bancorp. However, Parke Bancorp is 1.88 times less risky than First Bancorp. It trades about 0.27 of its potential returns per unit of risk. First Bancorp is currently generating about 0.14 per unit of risk. If you would invest 2,103 in Parke Bancorp on August 25, 2024 and sell it today you would earn a total of 252.00 from holding Parke Bancorp or generate 11.98% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Parke Bancorp vs. First Bancorp
Performance |
| Timeline |
| Parke Bancorp |
| First Bancorp |
Parke Bancorp and First Bancorp Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Parke Bancorp and First Bancorp
The main advantage of trading using opposite Parke Bancorp and First Bancorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Parke Bancorp position performs unexpectedly, First Bancorp 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 First Bancorp will offset losses from the drop in First Bancorp's long position.| Parke Bancorp vs. Sound Financial Bancorp | Parke Bancorp vs. Finward Bancorp | Parke Bancorp vs. Franklin Financial Services | Parke Bancorp vs. Community West Bancshares |
| First Bancorp vs. Franklin Financial Services | First Bancorp vs. National Bank Holdings | First Bancorp vs. Bankwell Financial Group | First Bancorp vs. Finward Bancorp |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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