Correlation Between Nasdaq 100 and Commodities Strategy
Can any of the company-specific risk be diversified away by investing in both Nasdaq 100 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 Nasdaq 100 and Commodities Strategy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nasdaq 100 2x Strategy and Commodities Strategy Fund, you can compare the effects of market volatilities on Nasdaq 100 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 Nasdaq 100 with a short position of Commodities Strategy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nasdaq 100 and Commodities Strategy.
Diversification Opportunities for Nasdaq 100 and Commodities Strategy
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Nasdaq and Commodities is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding Nasdaq 100 2x 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 Nasdaq 100 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 Nasdaq 100 2x 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 Nasdaq 100 i.e., Nasdaq 100 and Commodities Strategy go up and down completely randomly.
Pair Corralation between Nasdaq 100 and Commodities Strategy
Assuming the 90 days horizon Nasdaq 100 2x Strategy is expected to generate 2.24 times more return on investment than Commodities Strategy. However, Nasdaq 100 is 2.24 times more volatile than Commodities Strategy Fund. It trades about 0.08 of its potential returns per unit of risk. Commodities Strategy Fund is currently generating about -0.02 per unit of risk. If you would invest 33,051 in Nasdaq 100 2x Strategy on September 3, 2024 and sell it today you would earn a total of 8,683 from holding Nasdaq 100 2x Strategy or generate 26.27% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Nasdaq 100 2x Strategy vs. Commodities Strategy Fund
Performance |
| Timeline |
| Nasdaq 100 2x |
| Commodities Strategy |
Nasdaq 100 and Commodities Strategy Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Nasdaq 100 and Commodities Strategy
The main advantage of trading using opposite Nasdaq 100 and Commodities Strategy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nasdaq 100 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.| Nasdaq 100 vs. The Hartford Emerging | Nasdaq 100 vs. Kinetics Market Opportunities | Nasdaq 100 vs. Morgan Stanley Emerging | Nasdaq 100 vs. Locorr Market Trend |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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