Correlation Between Arrow Managed and Federated
Can any of the company-specific risk be diversified away by investing in both Arrow Managed and Federated 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 Federated 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 Federated U S, you can compare the effects of market volatilities on Arrow Managed and Federated 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 Federated. Check out your portfolio center. Please also check ongoing floating volatility patterns of Arrow Managed and Federated.
Diversification Opportunities for Arrow Managed and Federated
0.02 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Arrow and Federated is 0.02. Overlapping area represents the amount of risk that can be diversified away by holding Arrow Managed Futures and Federated U S in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated U S 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 Federated. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated U S has no effect on the direction of Arrow Managed i.e., Arrow Managed and Federated go up and down completely randomly.
Pair Corralation between Arrow Managed and Federated
Assuming the 90 days horizon Arrow Managed Futures is expected to generate 10.12 times more return on investment than Federated. However, Arrow Managed is 10.12 times more volatile than Federated U S. It trades about 0.02 of its potential returns per unit of risk. Federated U S is currently generating about 0.08 per unit of risk. If you would invest 555.00 in Arrow Managed Futures on October 9, 2024 and sell it today you would earn a total of 20.00 from holding Arrow Managed Futures or generate 3.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Arrow Managed Futures vs. Federated U S
Performance |
Timeline |
Arrow Managed Futures |
Federated U S |
Arrow Managed and Federated Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Arrow Managed and Federated
The main advantage of trading using opposite Arrow Managed and Federated positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Arrow Managed position performs unexpectedly, Federated 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 Federated will offset losses from the drop in Federated's long position.Arrow Managed vs. John Hancock Money | Arrow Managed vs. Ab Government Exchange | Arrow Managed vs. Ubs Money Series | Arrow Managed vs. Money Market Obligations |
Federated vs. Federated Government Income | Federated vs. Nationwide Fund Institutional | Federated vs. Federated Max Cap Index | Federated vs. The Brown Capital |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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