Correlation Between UGAS and Dow Jones
Can any of the company-specific risk be diversified away by investing in both UGAS and Dow Jones 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 UGAS and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between UGAS and Dow Jones Industrial, you can compare the effects of market volatilities on UGAS and Dow Jones 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 UGAS with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of UGAS and Dow Jones.
Diversification Opportunities for UGAS and Dow Jones
Poor diversification
The 3 months correlation between UGAS and Dow is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding UGAS and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and UGAS 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 UGAS are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of UGAS i.e., UGAS and Dow Jones go up and down completely randomly.
Pair Corralation between UGAS and Dow Jones
Assuming the 90 days trading horizon UGAS is expected to generate 4.5 times more return on investment than Dow Jones. However, UGAS is 4.5 times more volatile than Dow Jones Industrial. It trades about 0.25 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.19 per unit of risk. If you would invest 0.02 in UGAS on August 31, 2024 and sell it today you would earn a total of 0.01 from holding UGAS or generate 64.78% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 98.44% |
| Values | Daily Returns |
UGAS vs. Dow Jones Industrial
Performance |
| Timeline |
UGAS and Dow Jones Volatility Contrast
Predicted Return Density |
| Returns |
UGAS
Pair trading matchups for UGAS
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with UGAS and Dow Jones
The main advantage of trading using opposite UGAS and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if UGAS position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.The idea behind UGAS and Dow Jones Industrial pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| Dow Jones vs. Aerofoam Metals | Dow Jones vs. ACG Metals Limited | Dow Jones vs. China Clean Energy | Dow Jones vs. Fast Retailing Co |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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