Correlation Between Dow Jones and Air Products
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Air Products 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 Air Products 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 Air Products and, you can compare the effects of market volatilities on Dow Jones and Air Products 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 Air Products. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Air Products.
Diversification Opportunities for Dow Jones and Air Products
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Dow and Air is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Air Products and in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Air Products 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 Air Products. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Air Products has no effect on the direction of Dow Jones i.e., Dow Jones and Air Products go up and down completely randomly.
Pair Corralation between Dow Jones and Air Products
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.43 times more return on investment than Air Products. However, Dow Jones Industrial is 2.31 times less risky than Air Products. It trades about 0.09 of its potential returns per unit of risk. Air Products and is currently generating about 0.04 per unit of risk. If you would invest 3,187,457 in Dow Jones Industrial on October 5, 2024 and sell it today you would earn a total of 1,051,770 from holding Dow Jones Industrial or generate 33.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.9% |
Values | Daily Returns |
Dow Jones Industrial vs. Air Products and
Performance |
Timeline |
Dow Jones and Air Products Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Air Products and
Pair trading matchups for Air Products
Pair Trading with Dow Jones and Air Products
The main advantage of trading using opposite Dow Jones and Air Products positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Air Products 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 Air Products will offset losses from the drop in Air Products' long position.Dow Jones vs. Coty Inc | Dow Jones vs. The Coca Cola | Dow Jones vs. Celsius Holdings | Dow Jones vs. PepsiCo |
Air Products vs. Seagate Technology Holdings | Air Products vs. Check Point Software | Air Products vs. Microchip Technology Incorporated | Air Products vs. Molson Coors Beverage |
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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