Correlation Between Oil Gas and Icon Natural
Can any of the company-specific risk be diversified away by investing in both Oil Gas and Icon Natural 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 Oil Gas and Icon Natural into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Oil Gas Ultrasector and Icon Natural Resources, you can compare the effects of market volatilities on Oil Gas and Icon Natural 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 Oil Gas with a short position of Icon Natural. Check out your portfolio center. Please also check ongoing floating volatility patterns of Oil Gas and Icon Natural.
Diversification Opportunities for Oil Gas and Icon Natural
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Oil and Icon is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Oil Gas Ultrasector and Icon Natural Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Icon Natural Resources and Oil Gas 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 Oil Gas Ultrasector are associated (or correlated) with Icon Natural. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Icon Natural Resources has no effect on the direction of Oil Gas i.e., Oil Gas and Icon Natural go up and down completely randomly.
Pair Corralation between Oil Gas and Icon Natural
Assuming the 90 days horizon Oil Gas is expected to generate 1.07 times less return on investment than Icon Natural. In addition to that, Oil Gas is 1.53 times more volatile than Icon Natural Resources. It trades about 0.06 of its total potential returns per unit of risk. Icon Natural Resources is currently generating about 0.1 per unit of volatility. If you would invest 1,620 in Icon Natural Resources on August 28, 2024 and sell it today you would earn a total of 378.00 from holding Icon Natural Resources or generate 23.33% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Oil Gas Ultrasector vs. Icon Natural Resources
Performance |
| Timeline |
| Oil Gas Ultrasector |
| Icon Natural Resources |
Oil Gas and Icon Natural Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Oil Gas and Icon Natural
The main advantage of trading using opposite Oil Gas and Icon Natural positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oil Gas position performs unexpectedly, Icon Natural 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 Icon Natural will offset losses from the drop in Icon Natural's long position.| Oil Gas vs. Oil Gas Ultrasector | Oil Gas vs. Ultramid Cap Profund Ultramid Cap | Oil Gas vs. Precious Metals Ultrasector | Oil Gas vs. Real Estate Ultrasector |
| Icon Natural vs. Icon Financial Fund | Icon Natural vs. Dreyfus Natural Resources | Icon Natural vs. Icon Natural Resources | Icon Natural vs. Icon Information Technology |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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