Correlation Between Federated Global and Arrow Managed
Can any of the company-specific risk be diversified away by investing in both Federated Global and Arrow Managed 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 Federated Global and Arrow Managed into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federated Global Allocation and Arrow Managed Futures, you can compare the effects of market volatilities on Federated Global and Arrow Managed 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 Federated Global with a short position of Arrow Managed. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated Global and Arrow Managed.
Diversification Opportunities for Federated Global and Arrow Managed
0.05 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Federated and Arrow is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding Federated Global Allocation and Arrow Managed Futures in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Arrow Managed Futures and Federated Global 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 Federated Global Allocation are associated (or correlated) with Arrow Managed. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Arrow Managed Futures has no effect on the direction of Federated Global i.e., Federated Global and Arrow Managed go up and down completely randomly.
Pair Corralation between Federated Global and Arrow Managed
Assuming the 90 days horizon Federated Global Allocation is expected to generate 0.5 times more return on investment than Arrow Managed. However, Federated Global Allocation is 1.99 times less risky than Arrow Managed. It trades about 0.1 of its potential returns per unit of risk. Arrow Managed Futures is currently generating about 0.03 per unit of risk. If you would invest 1,964 in Federated Global Allocation on October 25, 2024 and sell it today you would earn a total of 20.00 from holding Federated Global Allocation or generate 1.02% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Federated Global Allocation vs. Arrow Managed Futures
Performance |
| Timeline |
| Federated Global All |
| Arrow Managed Futures |
Federated Global and Arrow Managed Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Federated Global and Arrow Managed
The main advantage of trading using opposite Federated Global and Arrow Managed positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated Global position performs unexpectedly, Arrow Managed 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 Arrow Managed will offset losses from the drop in Arrow Managed's long position.| Federated Global vs. Federated Max Cap Index | Federated Global vs. Federated Kaufmann Fund | Federated Global vs. Federated Strategic Income | Federated Global vs. Federated Bond 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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