Correlation Between Oil Gas and Federated Pennsylvania
Can any of the company-specific risk be diversified away by investing in both Oil Gas and Federated Pennsylvania 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 Pennsylvania 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 Pennsylvania Municipal, you can compare the effects of market volatilities on Oil Gas and Federated Pennsylvania 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 Pennsylvania. Check out your portfolio center. Please also check ongoing floating volatility patterns of Oil Gas and Federated Pennsylvania.
Diversification Opportunities for Oil Gas and Federated Pennsylvania
-0.18 | Correlation Coefficient |
Good diversification
The 3 months correlation between Oil and Federated is -0.18. Overlapping area represents the amount of risk that can be diversified away by holding Oil Gas Ultrasector and Federated Pennsylvania Municip in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated Pennsylvania 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 Pennsylvania. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated Pennsylvania has no effect on the direction of Oil Gas i.e., Oil Gas and Federated Pennsylvania go up and down completely randomly.
Pair Corralation between Oil Gas and Federated Pennsylvania
Assuming the 90 days horizon Oil Gas Ultrasector is expected to generate 10.03 times more return on investment than Federated Pennsylvania. However, Oil Gas is 10.03 times more volatile than Federated Pennsylvania Municipal. It trades about 0.13 of its potential returns per unit of risk. Federated Pennsylvania Municipal is currently generating about 0.01 per unit of risk. If you would invest 3,252 in Oil Gas Ultrasector on December 21, 2024 and sell it today you would earn a total of 484.00 from holding Oil Gas Ultrasector or generate 14.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Oil Gas Ultrasector vs. Federated Pennsylvania Municip
Performance |
Timeline |
Oil Gas Ultrasector |
Federated Pennsylvania |
Oil Gas and Federated Pennsylvania Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Oil Gas and Federated Pennsylvania
The main advantage of trading using opposite Oil Gas and Federated Pennsylvania positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oil Gas position performs unexpectedly, Federated Pennsylvania 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 Pennsylvania will offset losses from the drop in Federated Pennsylvania'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 |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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