Correlation Between Russell 2000 and Inverse Russell
Can any of the company-specific risk be diversified away by investing in both Russell 2000 and Inverse Russell 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 Russell 2000 and Inverse Russell into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Russell 2000 15x and Inverse Russell 2000, you can compare the effects of market volatilities on Russell 2000 and Inverse Russell 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 Russell 2000 with a short position of Inverse Russell. Check out your portfolio center. Please also check ongoing floating volatility patterns of Russell 2000 and Inverse Russell.
Diversification Opportunities for Russell 2000 and Inverse Russell
-0.95 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Russell and Inverse is -0.95. Overlapping area represents the amount of risk that can be diversified away by holding Russell 2000 15x and Inverse Russell 2000 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Inverse Russell 2000 and Russell 2000 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 Russell 2000 15x are associated (or correlated) with Inverse Russell. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Inverse Russell 2000 has no effect on the direction of Russell 2000 i.e., Russell 2000 and Inverse Russell go up and down completely randomly.
Pair Corralation between Russell 2000 and Inverse Russell
Assuming the 90 days horizon Russell 2000 15x is expected to under-perform the Inverse Russell. But the mutual fund apears to be less risky and, when comparing its historical volatility, Russell 2000 15x is 1.3 times less risky than Inverse Russell. The mutual fund trades about -0.39 of its potential returns per unit of risk. The Inverse Russell 2000 is currently generating about 0.26 of returns per unit of risk over similar time horizon. If you would invest 565.00 in Inverse Russell 2000 on September 24, 2024 and sell it today you would earn a total of 70.00 from holding Inverse Russell 2000 or generate 12.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Russell 2000 15x vs. Inverse Russell 2000
Performance |
Timeline |
Russell 2000 15x |
Inverse Russell 2000 |
Russell 2000 and Inverse Russell Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Russell 2000 and Inverse Russell
The main advantage of trading using opposite Russell 2000 and Inverse Russell positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Russell 2000 position performs unexpectedly, Inverse Russell 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 Inverse Russell will offset losses from the drop in Inverse Russell's long position.Russell 2000 vs. Basic Materials Fund | Russell 2000 vs. Basic Materials Fund | Russell 2000 vs. Banking Fund Class | Russell 2000 vs. Basic Materials Fund |
Inverse Russell vs. Basic Materials Fund | Inverse Russell vs. Basic Materials Fund | Inverse Russell vs. Banking Fund Class | Inverse Russell vs. Basic Materials Fund |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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