Correlation Between Commodities Strategy and Income Fund
Can any of the company-specific risk be diversified away by investing in both Commodities Strategy and Income Fund 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 Income Fund 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 Income Fund Income, you can compare the effects of market volatilities on Commodities Strategy and Income Fund 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 Income Fund. Check out your portfolio center. Please also check ongoing floating volatility patterns of Commodities Strategy and Income Fund.
Diversification Opportunities for Commodities Strategy and Income Fund
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Commodities and Income is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Commodities Strategy Fund and Income Fund Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Income Fund Income 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 Income Fund. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Income Fund Income has no effect on the direction of Commodities Strategy i.e., Commodities Strategy and Income Fund go up and down completely randomly.
Pair Corralation between Commodities Strategy and Income Fund
Assuming the 90 days horizon Commodities Strategy Fund is expected to generate 3.87 times more return on investment than Income Fund. However, Commodities Strategy is 3.87 times more volatile than Income Fund Income. It trades about 0.15 of its potential returns per unit of risk. Income Fund Income is currently generating about 0.11 per unit of risk. If you would invest 14,392 in Commodities Strategy Fund on May 2, 2025 and sell it today you would earn a total of 1,384 from holding Commodities Strategy Fund or generate 9.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.39% |
Values | Daily Returns |
Commodities Strategy Fund vs. Income Fund Income
Performance |
Timeline |
Commodities Strategy |
Income Fund Income |
Commodities Strategy and Income Fund Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Commodities Strategy and Income Fund
The main advantage of trading using opposite Commodities Strategy and Income Fund positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Commodities Strategy position performs unexpectedly, Income Fund 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 Income Fund will offset losses from the drop in Income Fund's long position.Commodities Strategy vs. Basic Materials Fund | Commodities Strategy vs. Energy Services Fund | Commodities Strategy vs. Energy Fund Investor | Commodities Strategy vs. Real Estate Fund |
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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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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