Correlation Between Arrow Managed and Mainstay Floating
Can any of the company-specific risk be diversified away by investing in both Arrow Managed and Mainstay 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 Arrow Managed and Mainstay Floating into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Arrow Managed Futures and Mainstay Floating Rate, you can compare the effects of market volatilities on Arrow Managed and Mainstay 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 Arrow Managed with a short position of Mainstay Floating. Check out your portfolio center. Please also check ongoing floating volatility patterns of Arrow Managed and Mainstay Floating.
Diversification Opportunities for Arrow Managed and Mainstay Floating
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Arrow and Mainstay is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding Arrow Managed Futures and Mainstay Floating Rate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mainstay Floating Rate and Arrow 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 Arrow Managed Futures are associated (or correlated) with Mainstay Floating. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mainstay Floating Rate has no effect on the direction of Arrow Managed i.e., Arrow Managed and Mainstay Floating go up and down completely randomly.
Pair Corralation between Arrow Managed and Mainstay Floating
Assuming the 90 days horizon Arrow Managed Futures is expected to under-perform the Mainstay Floating. In addition to that, Arrow Managed is 11.27 times more volatile than Mainstay Floating Rate. It trades about -0.02 of its total potential returns per unit of risk. Mainstay Floating Rate is currently generating about 0.04 per unit of volatility. If you would invest 874.00 in Mainstay Floating Rate on December 20, 2024 and sell it today you would earn a total of 3.00 from holding Mainstay Floating Rate or generate 0.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Arrow Managed Futures vs. Mainstay Floating Rate
Performance |
Timeline |
Arrow Managed Futures |
Mainstay Floating Rate |
Arrow Managed and Mainstay Floating Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Arrow Managed and Mainstay Floating
The main advantage of trading using opposite Arrow Managed and Mainstay Floating positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Arrow Managed position performs unexpectedly, Mainstay 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 Mainstay Floating will offset losses from the drop in Mainstay Floating's long position.Arrow Managed vs. Ab Government Exchange | Arrow Managed vs. Cref Money Market | Arrow Managed vs. Fidelity Government Money | Arrow Managed vs. Edward Jones Money |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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