Correlation Between Mid America and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Mid America 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 Mid America and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mid America Apartment Communities and Dow Jones Industrial, you can compare the effects of market volatilities on Mid America 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 Mid America with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mid America and Dow Jones.
Diversification Opportunities for Mid America and Dow Jones
0.27 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Mid and Dow is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding Mid America Apartment Communit 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 Mid America 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 Mid America Apartment Communities 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 Mid America i.e., Mid America and Dow Jones go up and down completely randomly.
Pair Corralation between Mid America and Dow Jones
Assuming the 90 days trading horizon Mid America is expected to generate 3.31 times less return on investment than Dow Jones. In addition to that, Mid America is 1.76 times more volatile than Dow Jones Industrial. It trades about 0.02 of its total potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.12 per unit of volatility. If you would invest 4,121,883 in Dow Jones Industrial on May 3, 2025 and sell it today you would earn a total of 236,975 from holding Dow Jones Industrial or generate 5.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Mid America Apartment Communit vs. Dow Jones Industrial
Performance |
Timeline |
Mid America and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Mid America Apartment Communities
Pair trading matchups for Mid America
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Mid America and Dow Jones
The main advantage of trading using opposite Mid America and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mid America 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.Mid America vs. American Homes 4 | Mid America vs. UMH Properties | Mid America vs. American Homes 4 | Mid America vs. Kimco Realty |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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