Correlation Between Dow Jones and American Tower
Can any of the company-specific risk be diversified away by investing in both Dow Jones and American Tower 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 American Tower 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 American Tower, you can compare the effects of market volatilities on Dow Jones and American Tower 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 American Tower. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and American Tower.
Diversification Opportunities for Dow Jones and American Tower
-0.65 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Dow and American is -0.65. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and American Tower in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on American Tower 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 American Tower. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of American Tower has no effect on the direction of Dow Jones i.e., Dow Jones and American Tower go up and down completely randomly.
Pair Corralation between Dow Jones and American Tower
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.38 times more return on investment than American Tower. However, Dow Jones Industrial is 2.63 times less risky than American Tower. It trades about 0.27 of its potential returns per unit of risk. American Tower is currently generating about 0.03 per unit of risk. If you would invest 4,223,305 in Dow Jones Industrial on August 30, 2024 and sell it today you would earn a total of 248,901 from holding Dow Jones Industrial or generate 5.89% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 91.3% |
| Values | Daily Returns |
Dow Jones Industrial vs. American Tower
Performance |
| Timeline |
Dow Jones and American Tower Volatility Contrast
Predicted Return Density |
| Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
American Tower
Pair trading matchups for American Tower
Pair Trading with Dow Jones and American Tower
The main advantage of trading using opposite Dow Jones and American Tower positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, American Tower 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 American Tower will offset losses from the drop in American Tower's long position.| Dow Jones vs. Skillful Craftsman Education | Dow Jones vs. Acco Brands | Dow Jones vs. Cracker Barrel Old | Dow Jones vs. Coursera |
| American Tower vs. Metalurgica Gerdau SA | American Tower vs. Warner Music Group | American Tower vs. MAHLE Metal Leve | American Tower vs. T Mobile |
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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