Correlation Between Inverse Nasdaq and Commodities Strategy
Can any of the company-specific risk be diversified away by investing in both Inverse Nasdaq 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 Nasdaq 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 Nasdaq 100 Strategy and Commodities Strategy Fund, you can compare the effects of market volatilities on Inverse Nasdaq 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 Nasdaq with a short position of Commodities Strategy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Inverse Nasdaq and Commodities Strategy.
Diversification Opportunities for Inverse Nasdaq and Commodities Strategy
0.08 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Inverse and Commodities is 0.08. Overlapping area represents the amount of risk that can be diversified away by holding Inverse Nasdaq 100 Strategy 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 Nasdaq 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 Nasdaq 100 Strategy 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 Nasdaq i.e., Inverse Nasdaq and Commodities Strategy go up and down completely randomly.
Pair Corralation between Inverse Nasdaq and Commodities Strategy
Assuming the 90 days horizon Inverse Nasdaq 100 Strategy is expected to under-perform the Commodities Strategy. But the mutual fund apears to be less risky and, when comparing its historical volatility, Inverse Nasdaq 100 Strategy is 1.34 times less risky than Commodities Strategy. The mutual fund trades about -0.18 of its potential returns per unit of risk. The Commodities Strategy Fund is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 8,179 in Commodities Strategy Fund on May 31, 2025 and sell it today you would earn a total of 378.00 from holding Commodities Strategy Fund or generate 4.62% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Inverse Nasdaq 100 Strategy vs. Commodities Strategy Fund
Performance |
| Timeline |
| Inverse Nasdaq 100 |
| Commodities Strategy |
Inverse Nasdaq and Commodities Strategy Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Inverse Nasdaq and Commodities Strategy
The main advantage of trading using opposite Inverse Nasdaq and Commodities Strategy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Inverse Nasdaq 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 Nasdaq vs. Cref Inflation Linked Bond | Inverse Nasdaq vs. Ab Bond Inflation | Inverse Nasdaq vs. Short Duration Inflation | Inverse Nasdaq vs. Tiaa Cref Inflation Linked Bond |
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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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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