Correlation Between Dow Jones and Energy Revenue
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Energy Revenue 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 Energy Revenue 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 Energy Revenue Amer, you can compare the effects of market volatilities on Dow Jones and Energy Revenue 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 Energy Revenue. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Energy Revenue.
Diversification Opportunities for Dow Jones and Energy Revenue
-0.59 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Dow and Energy is -0.59. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Energy Revenue Amer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Energy Revenue Amer 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 Energy Revenue. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Energy Revenue Amer has no effect on the direction of Dow Jones i.e., Dow Jones and Energy Revenue go up and down completely randomly.
Pair Corralation between Dow Jones and Energy Revenue
Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the Energy Revenue. But the index apears to be less risky and, when comparing its historical volatility, Dow Jones Industrial is 47.97 times less risky than Energy Revenue. The index trades about -0.04 of its potential returns per unit of risk. The Energy Revenue Amer is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 5.20 in Energy Revenue Amer on December 29, 2024 and sell it today you would earn a total of 2.79 from holding Energy Revenue Amer or generate 53.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 98.39% |
Values | Daily Returns |
Dow Jones Industrial vs. Energy Revenue Amer
Performance |
Timeline |
Dow Jones and Energy Revenue Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Energy Revenue Amer
Pair trading matchups for Energy Revenue
Pair Trading with Dow Jones and Energy Revenue
The main advantage of trading using opposite Dow Jones and Energy Revenue positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Energy Revenue 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 Energy Revenue will offset losses from the drop in Energy Revenue's long position.Dow Jones vs. Perseus Mining Limited | Dow Jones vs. Falcon Metals Limited | Dow Jones vs. Broadstone Net Lease | Dow Jones vs. PennantPark Investment |
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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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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