Correlation Between Dow Jones and Enbridge H
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Enbridge H 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 Enbridge H 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 Enbridge H Cum, you can compare the effects of market volatilities on Dow Jones and Enbridge H 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 Enbridge H. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Enbridge H.
Diversification Opportunities for Dow Jones and Enbridge H
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Dow and Enbridge is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Enbridge H Cum in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Enbridge H Cum 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 Enbridge H. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Enbridge H Cum has no effect on the direction of Dow Jones i.e., Dow Jones and Enbridge H go up and down completely randomly.
Pair Corralation between Dow Jones and Enbridge H
Assuming the 90 days trading horizon Dow Jones is expected to generate 1.44 times less return on investment than Enbridge H. But when comparing it to its historical volatility, Dow Jones Industrial is 1.24 times less risky than Enbridge H. It trades about 0.08 of its potential returns per unit of risk. Enbridge H Cum is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 1,405 in Enbridge H Cum on September 22, 2024 and sell it today you would earn a total of 627.00 from holding Enbridge H Cum or generate 44.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 99.6% |
Values | Daily Returns |
Dow Jones Industrial vs. Enbridge H Cum
Performance |
Timeline |
Dow Jones and Enbridge H Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Enbridge H Cum
Pair trading matchups for Enbridge H
Pair Trading with Dow Jones and Enbridge H
The main advantage of trading using opposite Dow Jones and Enbridge H positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Enbridge H 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 Enbridge H will offset losses from the drop in Enbridge H's long position.Dow Jones vs. Hurco Companies | Dow Jones vs. Sabre Corpo | Dow Jones vs. Glacier Bancorp | Dow Jones vs. Barings BDC |
Enbridge H vs. Enbridge Pref Series | Enbridge H vs. Enbridge Pref 13 | Enbridge H vs. Pembina Pipeline Corp | Enbridge H vs. ARC Resources |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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