Correlation Between Russell 2000 and Inverse Government
Can any of the company-specific risk be diversified away by investing in both Russell 2000 and Inverse Government 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 Government 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 Government Long, you can compare the effects of market volatilities on Russell 2000 and Inverse Government 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 Government. Check out your portfolio center. Please also check ongoing floating volatility patterns of Russell 2000 and Inverse Government.
Diversification Opportunities for Russell 2000 and Inverse Government
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Russell and Inverse is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Russell 2000 15x and Inverse Government Long in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Inverse Government Long 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 Government. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Inverse Government Long has no effect on the direction of Russell 2000 i.e., Russell 2000 and Inverse Government go up and down completely randomly.
Pair Corralation between Russell 2000 and Inverse Government
Assuming the 90 days horizon Russell 2000 15x is expected to generate 2.29 times more return on investment than Inverse Government. However, Russell 2000 is 2.29 times more volatile than Inverse Government Long. It trades about 0.29 of its potential returns per unit of risk. Inverse Government Long is currently generating about -0.02 per unit of risk. If you would invest 5,639 in Russell 2000 15x on September 2, 2024 and sell it today you would earn a total of 884.00 from holding Russell 2000 15x or generate 15.68% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Russell 2000 15x vs. Inverse Government Long
Performance |
Timeline |
Russell 2000 15x |
Inverse Government Long |
Russell 2000 and Inverse Government Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Russell 2000 and Inverse Government
The main advantage of trading using opposite Russell 2000 and Inverse Government positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Russell 2000 position performs unexpectedly, Inverse Government 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 Government will offset losses from the drop in Inverse Government's long position.Russell 2000 vs. Eip Growth And | Russell 2000 vs. T Rowe Price | Russell 2000 vs. Champlain Mid Cap | Russell 2000 vs. Nationwide Growth Fund |
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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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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