Correlation Between Commodities Strategy and Real Assets
Can any of the company-specific risk be diversified away by investing in both Commodities Strategy and Real Assets 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 Real Assets 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 Real Assets Portfolio, you can compare the effects of market volatilities on Commodities Strategy and Real Assets 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 Real Assets. Check out your portfolio center. Please also check ongoing floating volatility patterns of Commodities Strategy and Real Assets.
Diversification Opportunities for Commodities Strategy and Real Assets
-0.18 | Correlation Coefficient |
Good diversification
The 3 months correlation between Commodities and Real is -0.18. Overlapping area represents the amount of risk that can be diversified away by holding Commodities Strategy Fund and Real Assets Portfolio in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Real Assets Portfolio 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 Real Assets. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Real Assets Portfolio has no effect on the direction of Commodities Strategy i.e., Commodities Strategy and Real Assets go up and down completely randomly.
Pair Corralation between Commodities Strategy and Real Assets
Assuming the 90 days horizon Commodities Strategy is expected to generate 2.94 times less return on investment than Real Assets. In addition to that, Commodities Strategy is 2.1 times more volatile than Real Assets Portfolio. It trades about 0.06 of its total potential returns per unit of risk. Real Assets Portfolio is currently generating about 0.39 per unit of volatility. If you would invest 971.00 in Real Assets Portfolio on December 30, 2024 and sell it today you would earn a total of 89.00 from holding Real Assets Portfolio or generate 9.17% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Commodities Strategy Fund vs. Real Assets Portfolio
Performance |
Timeline |
Commodities Strategy |
Real Assets Portfolio |
Commodities Strategy and Real Assets Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Commodities Strategy and Real Assets
The main advantage of trading using opposite Commodities Strategy and Real Assets positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Commodities Strategy position performs unexpectedly, Real Assets 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 Real Assets will offset losses from the drop in Real Assets' 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 |
Real Assets vs. International Equity Portfolio | Real Assets vs. Municipal Bond Fund | Real Assets vs. Global Advantage Portfolio | Real Assets vs. Advantage Portfolio Class |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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