Correlation Between Commodities Strategy and Basic Materials
Can any of the company-specific risk be diversified away by investing in both Commodities Strategy and Basic Materials 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 Basic Materials 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 Basic Materials Fund, you can compare the effects of market volatilities on Commodities Strategy and Basic Materials 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 Basic Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of Commodities Strategy and Basic Materials.
Diversification Opportunities for Commodities Strategy and Basic Materials
0.03 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Commodities and Basic is 0.03. Overlapping area represents the amount of risk that can be diversified away by holding Commodities Strategy Fund and Basic Materials Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Basic Materials 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 Basic Materials. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Basic Materials has no effect on the direction of Commodities Strategy i.e., Commodities Strategy and Basic Materials go up and down completely randomly.
Pair Corralation between Commodities Strategy and Basic Materials
Assuming the 90 days horizon Commodities Strategy Fund is expected to generate 0.14 times more return on investment than Basic Materials. However, Commodities Strategy Fund is 7.33 times less risky than Basic Materials. It trades about 0.03 of its potential returns per unit of risk. Basic Materials Fund is currently generating about -0.2 per unit of risk. If you would invest 1,626 in Commodities Strategy Fund on September 24, 2024 and sell it today you would earn a total of 6.00 from holding Commodities Strategy Fund or generate 0.37% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Commodities Strategy Fund vs. Basic Materials Fund
Performance |
Timeline |
Commodities Strategy |
Basic Materials |
Commodities Strategy and Basic Materials Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Commodities Strategy and Basic Materials
The main advantage of trading using opposite Commodities Strategy and Basic Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Commodities Strategy position performs unexpectedly, Basic Materials 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 Basic Materials will offset losses from the drop in Basic Materials' long position.Commodities Strategy vs. Tfa Alphagen Growth | Commodities Strategy vs. Vy Baron Growth | Commodities Strategy vs. Vy Baron Growth | Commodities Strategy vs. Ftfa Franklin Templeton Growth |
Basic Materials vs. Basic Materials Fund | Basic Materials vs. Energy Services Fund | Basic Materials vs. Energy Fund Class | Basic Materials vs. Nasdaq 100 2x Strategy |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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