Correlation Between Guidepath(r) Managed and Floating Rate
Can any of the company-specific risk be diversified away by investing in both Guidepath(r) Managed 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 Guidepath(r) Managed and Floating Rate into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Guidepath Managed Futures and Floating Rate Fund, you can compare the effects of market volatilities on Guidepath(r) Managed 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 Guidepath(r) Managed with a short position of Floating Rate. Check out your portfolio center. Please also check ongoing floating volatility patterns of Guidepath(r) Managed and Floating Rate.
Diversification Opportunities for Guidepath(r) Managed and Floating Rate
0.01 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Guidepath(r) and Floating is 0.01. Overlapping area represents the amount of risk that can be diversified away by holding Guidepath Managed Futures and Floating Rate Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Floating Rate and Guidepath(r) Managed 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 Guidepath Managed Futures 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 Guidepath(r) Managed i.e., Guidepath(r) Managed and Floating Rate go up and down completely randomly.
Pair Corralation between Guidepath(r) Managed and Floating Rate
Assuming the 90 days horizon Guidepath Managed Futures is expected to generate 5.46 times more return on investment than Floating Rate. However, Guidepath(r) Managed is 5.46 times more volatile than Floating Rate Fund. It trades about 0.06 of its potential returns per unit of risk. Floating Rate Fund is currently generating about 0.14 per unit of risk. If you would invest 780.00 in Guidepath Managed Futures on October 10, 2024 and sell it today you would earn a total of 15.00 from holding Guidepath Managed Futures or generate 1.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Guidepath Managed Futures vs. Floating Rate Fund
Performance |
Timeline |
Guidepath Managed Futures |
Floating Rate |
Guidepath(r) Managed and Floating Rate Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Guidepath(r) Managed and Floating Rate
The main advantage of trading using opposite Guidepath(r) Managed and Floating Rate positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Guidepath(r) Managed 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.Guidepath(r) Managed vs. Chartwell Short Duration | Guidepath(r) Managed vs. Rbc Short Duration | Guidepath(r) Managed vs. Aamhimco Short Duration | Guidepath(r) Managed vs. Abr Enhanced Short |
Floating Rate vs. Dunham High Yield | Floating Rate vs. Virtus High Yield | Floating Rate vs. Multi Manager High Yield | Floating Rate vs. Lord Abbett Short |
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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