Correlation Between Inverse Dow and Nasdaq-100 Fund
Can any of the company-specific risk be diversified away by investing in both Inverse Dow and Nasdaq-100 Fund 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 Dow and Nasdaq-100 Fund into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Inverse Dow 2x and Nasdaq 100 Fund Class, you can compare the effects of market volatilities on Inverse Dow and Nasdaq-100 Fund 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 Dow with a short position of Nasdaq-100 Fund. Check out your portfolio center. Please also check ongoing floating volatility patterns of Inverse Dow and Nasdaq-100 Fund.
Diversification Opportunities for Inverse Dow and Nasdaq-100 Fund
-0.93 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between INVERSE and Nasdaq-100 is -0.93. Overlapping area represents the amount of risk that can be diversified away by holding Inverse Dow 2x and Nasdaq 100 Fund Class in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nasdaq 100 Fund and Inverse Dow 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 Dow 2x are associated (or correlated) with Nasdaq-100 Fund. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nasdaq 100 Fund has no effect on the direction of Inverse Dow i.e., Inverse Dow and Nasdaq-100 Fund go up and down completely randomly.
Pair Corralation between Inverse Dow and Nasdaq-100 Fund
Assuming the 90 days horizon Inverse Dow 2x is expected to under-perform the Nasdaq-100 Fund. In addition to that, Inverse Dow is 1.72 times more volatile than Nasdaq 100 Fund Class. It trades about -0.25 of its total potential returns per unit of risk. Nasdaq 100 Fund Class is currently generating about 0.1 per unit of volatility. If you would invest 7,577 in Nasdaq 100 Fund Class on August 28, 2024 and sell it today you would earn a total of 166.00 from holding Nasdaq 100 Fund Class or generate 2.19% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Inverse Dow 2x vs. Nasdaq 100 Fund Class
Performance |
| Timeline |
| Inverse Dow 2x |
| Nasdaq 100 Fund |
Inverse Dow and Nasdaq-100 Fund Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Inverse Dow and Nasdaq-100 Fund
The main advantage of trading using opposite Inverse Dow and Nasdaq-100 Fund positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Inverse Dow position performs unexpectedly, Nasdaq-100 Fund 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 Nasdaq-100 Fund will offset losses from the drop in Nasdaq-100 Fund's long position.| Inverse Dow vs. T Rowe Price | Inverse Dow vs. Dodge Global Stock | Inverse Dow vs. Us Global Investors | Inverse Dow vs. Rbb Fund Trust |
| Nasdaq-100 Fund vs. Nasdaq 100 Profund Nasdaq 100 | Nasdaq-100 Fund vs. Select Fund R | Nasdaq-100 Fund vs. Select Fund C |
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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