Correlation Between Sa Worldwide and Federated Floating
Can any of the company-specific risk be diversified away by investing in both Sa Worldwide and Federated 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 Sa Worldwide and Federated Floating into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sa Worldwide Moderate and Federated Floating Rate, you can compare the effects of market volatilities on Sa Worldwide and Federated 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 Sa Worldwide with a short position of Federated Floating. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sa Worldwide and Federated Floating.
Diversification Opportunities for Sa Worldwide and Federated Floating
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between SAWMX and Federated is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Sa Worldwide Moderate and Federated Floating Rate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated Floating Rate and Sa Worldwide 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 Sa Worldwide Moderate are associated (or correlated) with Federated Floating. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated Floating Rate has no effect on the direction of Sa Worldwide i.e., Sa Worldwide and Federated Floating go up and down completely randomly.
Pair Corralation between Sa Worldwide and Federated Floating
Assuming the 90 days horizon Sa Worldwide Moderate is expected to generate 3.31 times more return on investment than Federated Floating. However, Sa Worldwide is 3.31 times more volatile than Federated Floating Rate. It trades about 0.15 of its potential returns per unit of risk. Federated Floating Rate is currently generating about 0.19 per unit of risk. If you would invest 1,202 in Sa Worldwide Moderate on September 12, 2024 and sell it today you would earn a total of 44.00 from holding Sa Worldwide Moderate or generate 3.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Sa Worldwide Moderate vs. Federated Floating Rate
Performance |
Timeline |
Sa Worldwide Moderate |
Federated Floating Rate |
Sa Worldwide and Federated Floating Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sa Worldwide and Federated Floating
The main advantage of trading using opposite Sa Worldwide and Federated Floating positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sa Worldwide position performs unexpectedly, Federated 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 Federated Floating will offset losses from the drop in Federated Floating's long position.Sa Worldwide vs. Capital Income Builder | Sa Worldwide vs. Capital Income Builder | Sa Worldwide vs. Capital Income Builder | Sa Worldwide vs. Capital Income Builder |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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