Correlation Between Commodities Strategy and Energy Services
Can any of the company-specific risk be diversified away by investing in both Commodities Strategy and Energy Services 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 Commodities Strategy and Energy Services into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Commodities Strategy Fund and Energy Services Fund, you can compare the effects of market volatilities on Commodities Strategy and Energy Services 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 Commodities Strategy with a short position of Energy Services. Check out your portfolio center. Please also check ongoing floating volatility patterns of Commodities Strategy and Energy Services.
Diversification Opportunities for Commodities Strategy and Energy Services
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Commodities and Energy is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding Commodities Strategy Fund and Energy Services Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Energy Services and Commodities Strategy 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 Commodities Strategy Fund are associated (or correlated) with Energy Services. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Energy Services has no effect on the direction of Commodities Strategy i.e., Commodities Strategy and Energy Services go up and down completely randomly.
Pair Corralation between Commodities Strategy and Energy Services
Assuming the 90 days horizon Commodities Strategy Fund is expected to generate 0.46 times more return on investment than Energy Services. However, Commodities Strategy Fund is 2.18 times less risky than Energy Services. It trades about 0.0 of its potential returns per unit of risk. Energy Services Fund is currently generating about -0.04 per unit of risk. If you would invest 1,619 in Commodities Strategy Fund on September 21, 2024 and sell it today you would earn a total of 0.00 from holding Commodities Strategy Fund or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Commodities Strategy Fund vs. Energy Services Fund
Performance |
Timeline |
Commodities Strategy |
Energy Services |
Commodities Strategy and Energy Services Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Commodities Strategy and Energy Services
The main advantage of trading using opposite Commodities Strategy and Energy Services positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Commodities Strategy position performs unexpectedly, Energy Services 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 Energy Services will offset losses from the drop in Energy Services' long position.Commodities Strategy vs. Ashmore Emerging Markets | Commodities Strategy vs. Pnc Emerging Markets | Commodities Strategy vs. Dws Emerging Markets | Commodities Strategy vs. Angel Oak Multi Strategy |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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