Correlation Between Inverse Government and Commodities Strategy
Can any of the company-specific risk be diversified away by investing in both Inverse Government and Commodities Strategy 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 Inverse Government and Commodities Strategy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Inverse Government Long and Commodities Strategy Fund, you can compare the effects of market volatilities on Inverse Government and Commodities Strategy 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 Inverse Government with a short position of Commodities Strategy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Inverse Government and Commodities Strategy.
Diversification Opportunities for Inverse Government and Commodities Strategy
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between Inverse and Commodities is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding Inverse Government Long and Commodities Strategy Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Commodities Strategy and Inverse Government 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 Inverse Government Long are associated (or correlated) with Commodities Strategy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Commodities Strategy has no effect on the direction of Inverse Government i.e., Inverse Government and Commodities Strategy go up and down completely randomly.
Pair Corralation between Inverse Government and Commodities Strategy
Assuming the 90 days horizon Inverse Government Long is expected to generate 0.77 times more return on investment than Commodities Strategy. However, Inverse Government Long is 1.3 times less risky than Commodities Strategy. It trades about 0.15 of its potential returns per unit of risk. Commodities Strategy Fund is currently generating about 0.06 per unit of risk. If you would invest 17,607 in Inverse Government Long on September 12, 2024 and sell it today you would earn a total of 1,436 from holding Inverse Government Long or generate 8.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
Inverse Government Long vs. Commodities Strategy Fund
Performance |
Timeline |
Inverse Government Long |
Commodities Strategy |
Inverse Government and Commodities Strategy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Inverse Government and Commodities Strategy
The main advantage of trading using opposite Inverse Government and Commodities Strategy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Inverse Government position performs unexpectedly, Commodities Strategy 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 Commodities Strategy will offset losses from the drop in Commodities Strategy's long position.Inverse Government vs. Cmg Ultra Short | Inverse Government vs. Aqr Long Short Equity | Inverse Government vs. Barings Active Short | Inverse Government vs. Blackrock Short Term Inflat Protected |
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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 Global Correlations module to find global opportunities by holding instruments from different markets.
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