Correlation Between Dow Jones and Valero Energy
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Valero Energy 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 Valero Energy 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 Valero Energy, you can compare the effects of market volatilities on Dow Jones and Valero Energy 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 Valero Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Valero Energy.
Diversification Opportunities for Dow Jones and Valero Energy
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Dow and Valero is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Valero Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Valero Energy 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 Valero Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Valero Energy has no effect on the direction of Dow Jones i.e., Dow Jones and Valero Energy go up and down completely randomly.
Pair Corralation between Dow Jones and Valero Energy
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.36 times more return on investment than Valero Energy. However, Dow Jones Industrial is 2.8 times less risky than Valero Energy. It trades about 0.14 of its potential returns per unit of risk. Valero Energy is currently generating about 0.01 per unit of risk. If you would invest 3,241,759 in Dow Jones Industrial on September 21, 2024 and sell it today you would earn a total of 1,042,267 from holding Dow Jones Industrial or generate 32.15% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 98.31% |
| Values | Daily Returns |
Dow Jones Industrial vs. Valero Energy
Performance |
| Timeline |
Dow Jones and Valero Energy Volatility Contrast
Predicted Return Density |
| Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Valero Energy
Pair trading matchups for Valero Energy
Pair Trading with Dow Jones and Valero Energy
The main advantage of trading using opposite Dow Jones and Valero Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Valero Energy 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 Valero Energy will offset losses from the drop in Valero Energy's long position.| Dow Jones vs. Hurco Companies | Dow Jones vs. Sabre Corpo | Dow Jones vs. Glacier Bancorp | Dow Jones vs. Barings BDC |
| Valero Energy vs. Zoom Video Communications | Valero Energy vs. Iridium Communications | Valero Energy vs. Entravision Communications | Valero Energy vs. ADRIATIC METALS LS 013355 |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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