Correlation Between Dow Jones and ConocoPhillips
Can any of the company-specific risk be diversified away by investing in both Dow Jones and ConocoPhillips 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 ConocoPhillips 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 ConocoPhillips, you can compare the effects of market volatilities on Dow Jones and ConocoPhillips 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 ConocoPhillips. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and ConocoPhillips.
Diversification Opportunities for Dow Jones and ConocoPhillips
0.23 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Dow and ConocoPhillips is 0.23. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and ConocoPhillips in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ConocoPhillips 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 ConocoPhillips. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ConocoPhillips has no effect on the direction of Dow Jones i.e., Dow Jones and ConocoPhillips go up and down completely randomly.
Pair Corralation between Dow Jones and ConocoPhillips
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.51 times more return on investment than ConocoPhillips. However, Dow Jones Industrial is 1.96 times less risky than ConocoPhillips. It trades about -0.07 of its potential returns per unit of risk. ConocoPhillips is currently generating about -0.12 per unit of risk. If you would invest 4,491,065 in Dow Jones Industrial on November 28, 2024 and sell it today you would lose (147,753) from holding Dow Jones Industrial or give up 3.29% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.33% |
Values | Daily Returns |
Dow Jones Industrial vs. ConocoPhillips
Performance |
Timeline |
Dow Jones and ConocoPhillips Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
ConocoPhillips
Pair trading matchups for ConocoPhillips
Pair Trading with Dow Jones and ConocoPhillips
The main advantage of trading using opposite Dow Jones and ConocoPhillips positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, ConocoPhillips 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 ConocoPhillips will offset losses from the drop in ConocoPhillips' long position.Dow Jones vs. Gladstone Investment | Dow Jones vs. BW Offshore Limited | Dow Jones vs. Fidus Investment Corp | Dow Jones vs. Aperture Health |
ConocoPhillips vs. Diamondback Energy | ConocoPhillips vs. APA Corporation | ConocoPhillips vs. Hess Corporation | ConocoPhillips vs. Coterra Energy |
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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