Correlation Between Oil Gas and Federated Strategic
Can any of the company-specific risk be diversified away by investing in both Oil Gas and Federated Strategic 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 Federated Strategic 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 Federated Strategic Value, you can compare the effects of market volatilities on Oil Gas and Federated Strategic 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 Federated Strategic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Oil Gas and Federated Strategic.
Diversification Opportunities for Oil Gas and Federated Strategic
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Oil and Federated is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Oil Gas Ultrasector and Federated Strategic Value in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated Strategic Value 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 Federated Strategic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated Strategic Value has no effect on the direction of Oil Gas i.e., Oil Gas and Federated Strategic go up and down completely randomly.
Pair Corralation between Oil Gas and Federated Strategic
Assuming the 90 days horizon Oil Gas is expected to generate 5.05 times less return on investment than Federated Strategic. In addition to that, Oil Gas is 2.54 times more volatile than Federated Strategic Value. It trades about 0.0 of its total potential returns per unit of risk. Federated Strategic Value is currently generating about 0.03 per unit of volatility. If you would invest 544.00 in Federated Strategic Value on September 26, 2024 and sell it today you would earn a total of 49.00 from holding Federated Strategic Value or generate 9.01% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 99.8% |
Values | Daily Returns |
Oil Gas Ultrasector vs. Federated Strategic Value
Performance |
Timeline |
Oil Gas Ultrasector |
Federated Strategic Value |
Oil Gas and Federated Strategic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Oil Gas and Federated Strategic
The main advantage of trading using opposite Oil Gas and Federated Strategic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oil Gas position performs unexpectedly, Federated Strategic 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 Federated Strategic will offset losses from the drop in Federated Strategic'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 |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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