Correlation Between Floating Rate and Shenkman Floating
Can any of the company-specific risk be diversified away by investing in both Floating Rate and Shenkman 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 Floating Rate and Shenkman Floating into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Floating Rate Fund and Shenkman Floating Rate, you can compare the effects of market volatilities on Floating Rate and Shenkman 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 Floating Rate with a short position of Shenkman Floating. Check out your portfolio center. Please also check ongoing floating volatility patterns of Floating Rate and Shenkman Floating.
Diversification Opportunities for Floating Rate and Shenkman Floating
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between FLOATING and SHENKMAN is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding Floating Rate Fund and Shenkman Floating Rate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shenkman Floating Rate and Floating Rate 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 Floating Rate Fund are associated (or correlated) with Shenkman Floating. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shenkman Floating Rate has no effect on the direction of Floating Rate i.e., Floating Rate and Shenkman Floating go up and down completely randomly.
Pair Corralation between Floating Rate and Shenkman Floating
Assuming the 90 days horizon Floating Rate is expected to generate 1.24 times less return on investment than Shenkman Floating. In addition to that, Floating Rate is 2.18 times more volatile than Shenkman Floating Rate. It trades about 0.07 of its total potential returns per unit of risk. Shenkman Floating Rate is currently generating about 0.18 per unit of volatility. If you would invest 905.00 in Shenkman Floating Rate on December 30, 2024 and sell it today you would earn a total of 7.00 from holding Shenkman Floating Rate or generate 0.77% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Floating Rate Fund vs. Shenkman Floating Rate
Performance |
Timeline |
Floating Rate |
Shenkman Floating Rate |
Floating Rate and Shenkman Floating Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Floating Rate and Shenkman Floating
The main advantage of trading using opposite Floating Rate and Shenkman Floating positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Floating Rate position performs unexpectedly, Shenkman 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 Shenkman Floating will offset losses from the drop in Shenkman Floating's long position.Floating Rate vs. Vy Goldman Sachs | Floating Rate vs. Franklin Gold Precious | Floating Rate vs. International Investors Gold | Floating Rate vs. Europac Gold 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 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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