Correlation Between Oil Gas and Industrials Ultrasector
Can any of the company-specific risk be diversified away by investing in both Oil Gas and Industrials Ultrasector 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 Industrials Ultrasector 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 Industrials Ultrasector Profund, you can compare the effects of market volatilities on Oil Gas and Industrials Ultrasector 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 Industrials Ultrasector. Check out your portfolio center. Please also check ongoing floating volatility patterns of Oil Gas and Industrials Ultrasector.
Diversification Opportunities for Oil Gas and Industrials Ultrasector
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Oil and Industrials is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Oil Gas Ultrasector and Industrials Ultrasector Profun in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Industrials Ultrasector 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 Industrials Ultrasector. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Industrials Ultrasector has no effect on the direction of Oil Gas i.e., Oil Gas and Industrials Ultrasector go up and down completely randomly.
Pair Corralation between Oil Gas and Industrials Ultrasector
Assuming the 90 days horizon Oil Gas Ultrasector is expected to under-perform the Industrials Ultrasector. In addition to that, Oil Gas is 1.12 times more volatile than Industrials Ultrasector Profund. It trades about -0.14 of its total potential returns per unit of risk. Industrials Ultrasector Profund is currently generating about -0.12 per unit of volatility. If you would invest 5,862 in Industrials Ultrasector Profund on September 20, 2024 and sell it today you would lose (464.00) from holding Industrials Ultrasector Profund or give up 7.92% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Oil Gas Ultrasector vs. Industrials Ultrasector Profun
Performance |
Timeline |
Oil Gas Ultrasector |
Industrials Ultrasector |
Oil Gas and Industrials Ultrasector Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Oil Gas and Industrials Ultrasector
The main advantage of trading using opposite Oil Gas and Industrials Ultrasector positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oil Gas position performs unexpectedly, Industrials Ultrasector 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 Industrials Ultrasector will offset losses from the drop in Industrials Ultrasector's long position.Oil Gas vs. Precious Metals Ultrasector | Oil Gas vs. Real Estate Ultrasector | Oil Gas vs. Basic Materials Ultrasector | Oil Gas vs. Utilities Ultrasector Profund |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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