Correlation Between Inverse Dow and Russell 2000
Can any of the company-specific risk be diversified away by investing in both Inverse Dow and Russell 2000 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 Russell 2000 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 Russell 2000 15x, you can compare the effects of market volatilities on Inverse Dow and Russell 2000 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 Russell 2000. Check out your portfolio center. Please also check ongoing floating volatility patterns of Inverse Dow and Russell 2000.
Diversification Opportunities for Inverse Dow and Russell 2000
-0.83 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Inverse and Russell is -0.83. Overlapping area represents the amount of risk that can be diversified away by holding Inverse Dow 2x and Russell 2000 15x in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Russell 2000 15x 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 Russell 2000. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Russell 2000 15x has no effect on the direction of Inverse Dow i.e., Inverse Dow and Russell 2000 go up and down completely randomly.
Pair Corralation between Inverse Dow and Russell 2000
Assuming the 90 days horizon Inverse Dow 2x is expected to generate 0.95 times more return on investment than Russell 2000. However, Inverse Dow 2x is 1.05 times less risky than Russell 2000. It trades about 0.06 of its potential returns per unit of risk. Russell 2000 15x is currently generating about -0.13 per unit of risk. If you would invest 11,910 in Inverse Dow 2x on December 30, 2024 and sell it today you would earn a total of 638.00 from holding Inverse Dow 2x or generate 5.36% 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. Russell 2000 15x
Performance |
Timeline |
Inverse Dow 2x |
Russell 2000 15x |
Inverse Dow and Russell 2000 Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Inverse Dow and Russell 2000
The main advantage of trading using opposite Inverse Dow and Russell 2000 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Inverse Dow position performs unexpectedly, Russell 2000 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 Russell 2000 will offset losses from the drop in Russell 2000's long position.Inverse Dow vs. Muzinich High Yield | Inverse Dow vs. Metropolitan West High | Inverse Dow vs. American Century High | Inverse Dow vs. Tiaa Cref High Yield Fund |
Russell 2000 vs. Harbor Diversified International | Russell 2000 vs. American Century Diversified | Russell 2000 vs. Wilmington Diversified Income | Russell 2000 vs. Fidelity Advisor Diversified |
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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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