Correlation Between Inverse High and Basic Materials
Can any of the company-specific risk be diversified away by investing in both Inverse High 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 Inverse High and Basic Materials into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Inverse High Yield and Basic Materials Fund, you can compare the effects of market volatilities on Inverse High 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 Inverse High with a short position of Basic Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of Inverse High and Basic Materials.
Diversification Opportunities for Inverse High and Basic Materials
-0.94 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Inverse and Basic is -0.94. Overlapping area represents the amount of risk that can be diversified away by holding Inverse High Yield and Basic Materials Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Basic Materials and Inverse High 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 High Yield 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 Inverse High i.e., Inverse High and Basic Materials go up and down completely randomly.
Pair Corralation between Inverse High and Basic Materials
Assuming the 90 days horizon Inverse High Yield is expected to under-perform the Basic Materials. But the mutual fund apears to be less risky and, when comparing its historical volatility, Inverse High Yield is 3.58 times less risky than Basic Materials. The mutual fund trades about -0.07 of its potential returns per unit of risk. The Basic Materials Fund is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 6,441 in Basic Materials Fund on July 21, 2025 and sell it today you would earn a total of 2,678 from holding Basic Materials Fund or generate 41.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Inverse High Yield vs. Basic Materials Fund
Performance |
Timeline |
Inverse High Yield |
Basic Materials |
Inverse High and Basic Materials Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Inverse High and Basic Materials
The main advantage of trading using opposite Inverse High and Basic Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Inverse High 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.Inverse High vs. Financials Ultrasector Profund | Inverse High vs. Icon Financial Fund | Inverse High vs. Vanguard Financials Index | Inverse High vs. Fidelity Advisor Financial |
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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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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