Correlation Between Mifflinburg Bancorp and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Mifflinburg 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 Mifflinburg 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 Mifflinburg Bancorp and Dow Jones Industrial, you can compare the effects of market volatilities on Mifflinburg 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 Mifflinburg Bancorp with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mifflinburg Bancorp and Dow Jones.
Diversification Opportunities for Mifflinburg Bancorp and Dow Jones
0.18 | Correlation Coefficient |
Average diversification
The 3 months correlation between Mifflinburg and Dow is 0.18. Overlapping area represents the amount of risk that can be diversified away by holding Mifflinburg 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 Mifflinburg 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 Mifflinburg 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 Mifflinburg Bancorp i.e., Mifflinburg Bancorp and Dow Jones go up and down completely randomly.
Pair Corralation between Mifflinburg Bancorp and Dow Jones
Given the investment horizon of 90 days Mifflinburg Bancorp is expected to generate 3.35 times more return on investment than Dow Jones. However, Mifflinburg Bancorp is 3.35 times more volatile than Dow Jones Industrial. It trades about 0.09 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.24 per unit of risk. If you would invest 2,045 in Mifflinburg Bancorp on September 6, 2024 and sell it today you would earn a total of 260.00 from holding Mifflinburg Bancorp or generate 12.71% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
Mifflinburg Bancorp vs. Dow Jones Industrial
Performance |
Timeline |
Mifflinburg Bancorp and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Mifflinburg Bancorp
Pair trading matchups for Mifflinburg Bancorp
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Mifflinburg Bancorp and Dow Jones
The main advantage of trading using opposite Mifflinburg Bancorp and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mifflinburg 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.Mifflinburg Bancorp vs. First Hawaiian | Mifflinburg Bancorp vs. Central Pacific Financial | Mifflinburg Bancorp vs. Territorial Bancorp | Mifflinburg Bancorp vs. Comerica |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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