Correlation Between Dow Jones and Acadia Realty
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Acadia Realty 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 Dow Jones and Acadia Realty into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dow Jones Industrial and Acadia Realty Trust, you can compare the effects of market volatilities on Dow Jones and Acadia Realty 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 Dow Jones with a short position of Acadia Realty. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Acadia Realty.
Diversification Opportunities for Dow Jones and Acadia Realty
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Dow and Acadia is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Acadia Realty Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Acadia Realty Trust and Dow Jones 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 Dow Jones Industrial are associated (or correlated) with Acadia Realty. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Acadia Realty Trust has no effect on the direction of Dow Jones i.e., Dow Jones and Acadia Realty go up and down completely randomly.
Pair Corralation between Dow Jones and Acadia Realty
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.67 times more return on investment than Acadia Realty. However, Dow Jones Industrial is 1.49 times less risky than Acadia Realty. It trades about -0.14 of its potential returns per unit of risk. Acadia Realty Trust is currently generating about -0.13 per unit of risk. If you would invest 4,387,035 in Dow Jones Industrial on September 22, 2024 and sell it today you would lose (103,009) from holding Dow Jones Industrial or give up 2.35% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 95.45% |
Values | Daily Returns |
Dow Jones Industrial vs. Acadia Realty Trust
Performance |
Timeline |
Dow Jones and Acadia Realty Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Acadia Realty Trust
Pair trading matchups for Acadia Realty
Pair Trading with Dow Jones and Acadia Realty
The main advantage of trading using opposite Dow Jones and Acadia Realty positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Acadia Realty 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 Acadia Realty will offset losses from the drop in Acadia Realty's long position.Dow Jones vs. Hurco Companies | Dow Jones vs. Sabre Corpo | Dow Jones vs. Glacier Bancorp | Dow Jones vs. Barings BDC |
Acadia Realty vs. Simon Property Group | Acadia Realty vs. Realty Income | Acadia Realty vs. Link Real Estate | Acadia Realty vs. Kimco Realty |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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