Correlation Between First Bancorp and Dow Jones
Can any of the company-specific risk be diversified away by investing in both First Bancorp and Dow Jones 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 First Bancorp and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Bancorp and Dow Jones Industrial, you can compare the effects of market volatilities on First Bancorp and Dow Jones 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 First Bancorp with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Bancorp and Dow Jones.
Diversification Opportunities for First Bancorp and Dow Jones
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between First and Dow is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding First Bancorp and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and First 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 First Bancorp are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of First Bancorp i.e., First Bancorp and Dow Jones go up and down completely randomly.
Pair Corralation between First Bancorp and Dow Jones
Considering the 90-day investment horizon First Bancorp is expected to generate 2.81 times more return on investment than Dow Jones. However, First Bancorp is 2.81 times more volatile than Dow Jones Industrial. It trades about 0.06 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.07 per unit of risk. If you would invest 1,315 in First Bancorp on August 24, 2024 and sell it today you would earn a total of 787.00 from holding First Bancorp or generate 59.85% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
First Bancorp vs. Dow Jones Industrial
Performance |
| Timeline |
First Bancorp and Dow Jones Volatility Contrast
Predicted Return Density |
| Returns |
First Bancorp
Pair trading matchups for First Bancorp
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with First Bancorp and Dow Jones
The main advantage of trading using opposite First Bancorp and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Bancorp position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.| First Bancorp vs. Franklin Financial Services | First Bancorp vs. National Bank Holdings | First Bancorp vs. Bankwell Financial Group | First Bancorp vs. Finward Bancorp |
| Dow Jones vs. Sphere Entertainment Co | Dow Jones vs. Perseus Mining Limited | Dow Jones vs. Titan Machinery | Dow Jones vs. Simon Property Group |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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