Correlation Between Oil Gas and Nasdaq-100(r)
Can any of the company-specific risk be diversified away by investing in both Oil Gas and Nasdaq-100(r) 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 Nasdaq-100(r) 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 Nasdaq 100 2x Strategy, you can compare the effects of market volatilities on Oil Gas and Nasdaq-100(r) 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 Nasdaq-100(r). Check out your portfolio center. Please also check ongoing floating volatility patterns of Oil Gas and Nasdaq-100(r).
Diversification Opportunities for Oil Gas and Nasdaq-100(r)
0.07 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Oil and Nasdaq-100(r) is 0.07. Overlapping area represents the amount of risk that can be diversified away by holding Oil Gas Ultrasector and Nasdaq 100 2x Strategy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nasdaq 100 2x 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 Nasdaq-100(r). Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nasdaq 100 2x has no effect on the direction of Oil Gas i.e., Oil Gas and Nasdaq-100(r) go up and down completely randomly.
Pair Corralation between Oil Gas and Nasdaq-100(r)
Assuming the 90 days horizon Oil Gas Ultrasector is expected to under-perform the Nasdaq-100(r). But the mutual fund apears to be less risky and, when comparing its historical volatility, Oil Gas Ultrasector is 1.2 times less risky than Nasdaq-100(r). The mutual fund trades about 0.0 of its potential returns per unit of risk. The Nasdaq 100 2x Strategy is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 21,032 in Nasdaq 100 2x Strategy on October 5, 2024 and sell it today you would earn a total of 34,006 from holding Nasdaq 100 2x Strategy or generate 161.69% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Oil Gas Ultrasector vs. Nasdaq 100 2x Strategy
Performance |
Timeline |
Oil Gas Ultrasector |
Nasdaq 100 2x |
Oil Gas and Nasdaq-100(r) Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Oil Gas and Nasdaq-100(r)
The main advantage of trading using opposite Oil Gas and Nasdaq-100(r) positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oil Gas position performs unexpectedly, Nasdaq-100(r) 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 Nasdaq-100(r) will offset losses from the drop in Nasdaq-100(r)'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 |
Nasdaq-100(r) vs. Sp 500 2x | Nasdaq-100(r) vs. Inverse Nasdaq 100 2x | Nasdaq-100(r) vs. Inverse Sp 500 | Nasdaq-100(r) vs. Ultra Nasdaq 100 Profunds |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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