Correlation Between Inverse Government and Floating Rate
Can any of the company-specific risk be diversified away by investing in both Inverse Government and Floating Rate 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 Government and Floating Rate into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Inverse Government Long and Floating Rate Fund, you can compare the effects of market volatilities on Inverse Government and Floating Rate 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 Government with a short position of Floating Rate. Check out your portfolio center. Please also check ongoing floating volatility patterns of Inverse Government and Floating Rate.
Diversification Opportunities for Inverse Government and Floating Rate
0.41 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Inverse and Floating is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding Inverse Government Long and Floating Rate Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Floating Rate and Inverse Government 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 Government Long are associated (or correlated) with Floating Rate. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Floating Rate has no effect on the direction of Inverse Government i.e., Inverse Government and Floating Rate go up and down completely randomly.
Pair Corralation between Inverse Government and Floating Rate
Assuming the 90 days horizon Inverse Government is expected to generate 3.74 times less return on investment than Floating Rate. In addition to that, Inverse Government is 5.24 times more volatile than Floating Rate Fund. It trades about 0.01 of its total potential returns per unit of risk. Floating Rate Fund is currently generating about 0.27 per unit of volatility. If you would invest 789.00 in Floating Rate Fund on May 6, 2025 and sell it today you would earn a total of 19.00 from holding Floating Rate Fund or generate 2.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Inverse Government Long vs. Floating Rate Fund
Performance |
Timeline |
Inverse Government Long |
Floating Rate |
Inverse Government and Floating Rate Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Inverse Government and Floating Rate
The main advantage of trading using opposite Inverse Government and Floating Rate positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Inverse Government position performs unexpectedly, Floating Rate 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 Floating Rate will offset losses from the drop in Floating Rate's long position.Inverse Government vs. Basic Materials Fund | Inverse Government vs. Basic Materials Fund | Inverse Government vs. Banking Fund Class | Inverse Government vs. Basic Materials 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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