Correlation Between Federated and Federated Max
Can any of the company-specific risk be diversified away by investing in both Federated and Federated Max 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 and Federated Max into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federated U S and Federated Max Cap Index, you can compare the effects of market volatilities on Federated and Federated Max 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 with a short position of Federated Max. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated and Federated Max.
Diversification Opportunities for Federated and Federated Max
-0.55 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Federated and Federated is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding Federated U S and Federated Max Cap Index in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated Max Cap and Federated 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 U S are associated (or correlated) with Federated Max. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated Max Cap has no effect on the direction of Federated i.e., Federated and Federated Max go up and down completely randomly.
Pair Corralation between Federated and Federated Max
Assuming the 90 days horizon Federated is expected to generate 5.45 times less return on investment than Federated Max. But when comparing it to its historical volatility, Federated U S is 6.46 times less risky than Federated Max. It trades about 0.15 of its potential returns per unit of risk. Federated Max Cap Index is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 748.00 in Federated Max Cap Index on September 1, 2024 and sell it today you would earn a total of 103.00 from holding Federated Max Cap Index or generate 13.77% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 99.21% |
| Values | Daily Returns |
Federated U S vs. Federated Max Cap Index
Performance |
| Timeline |
| Federated U S |
| Federated Max Cap |
Federated and Federated Max Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Federated and Federated Max
The main advantage of trading using opposite Federated and Federated Max positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated position performs unexpectedly, Federated Max 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 Max will offset losses from the drop in Federated Max's long position.| Federated vs. Federated Emerging Market | Federated vs. Federated Mdt All | Federated vs. Federated Mdt Balanced | Federated vs. Federated Global Allocation |
| Federated Max vs. Federated Emerging Market | Federated Max vs. Federated Mdt All | Federated Max vs. Federated Mdt Balanced | Federated Max vs. Federated Global Allocation |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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