Correlation Between Cref Inflation and Guggenheim Floating
Can any of the company-specific risk be diversified away by investing in both Cref Inflation and Guggenheim Floating 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 Cref Inflation and Guggenheim Floating into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cref Inflation Linked Bond and Guggenheim Floating Rate, you can compare the effects of market volatilities on Cref Inflation and Guggenheim Floating 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 Cref Inflation with a short position of Guggenheim Floating. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cref Inflation and Guggenheim Floating.
Diversification Opportunities for Cref Inflation and Guggenheim Floating
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Cref and Guggenheim is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding Cref Inflation Linked Bond and Guggenheim Floating Rate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guggenheim Floating Rate and Cref Inflation 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 Cref Inflation Linked Bond are associated (or correlated) with Guggenheim Floating. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guggenheim Floating Rate has no effect on the direction of Cref Inflation i.e., Cref Inflation and Guggenheim Floating go up and down completely randomly.
Pair Corralation between Cref Inflation and Guggenheim Floating
Assuming the 90 days trading horizon Cref Inflation Linked Bond is expected to under-perform the Guggenheim Floating. In addition to that, Cref Inflation is 1.44 times more volatile than Guggenheim Floating Rate. It trades about -0.1 of its total potential returns per unit of risk. Guggenheim Floating Rate is currently generating about 0.17 per unit of volatility. If you would invest 2,397 in Guggenheim Floating Rate on October 10, 2024 and sell it today you would earn a total of 31.00 from holding Guggenheim Floating Rate or generate 1.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Cref Inflation Linked Bond vs. Guggenheim Floating Rate
Performance |
Timeline |
Cref Inflation Linked |
Guggenheim Floating Rate |
Cref Inflation and Guggenheim Floating Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cref Inflation and Guggenheim Floating
The main advantage of trading using opposite Cref Inflation and Guggenheim Floating positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cref Inflation position performs unexpectedly, Guggenheim Floating 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 Guggenheim Floating will offset losses from the drop in Guggenheim Floating's long position.Cref Inflation vs. Pimco Diversified Income | Cref Inflation vs. Wells Fargo Diversified | Cref Inflation vs. Guggenheim Diversified Income | Cref Inflation vs. Allianzgi Diversified Income |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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