Correlation Between New America and FAM
Can any of the company-specific risk be diversified away by investing in both New America and FAM 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 New America and FAM into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between New America High and FAM, you can compare the effects of market volatilities on New America and FAM 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 New America with a short position of FAM. Check out your portfolio center. Please also check ongoing floating volatility patterns of New America and FAM.
Diversification Opportunities for New America and FAM
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between New and FAM is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding New America High and FAM in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FAM and New America 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 New America High are associated (or correlated) with FAM. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FAM has no effect on the direction of New America i.e., New America and FAM go up and down completely randomly.
Pair Corralation between New America and FAM
If you would invest 807.00 in New America High on October 23, 2024 and sell it today you would earn a total of 15.00 from holding New America High or generate 1.86% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Flat |
| Strength | Insignificant |
| Accuracy | 5.56% |
| Values | Daily Returns |
New America High vs. FAM
Performance |
| Timeline |
| New America High |
| FAM |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
New America and FAM Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with New America and FAM
The main advantage of trading using opposite New America and FAM positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if New America position performs unexpectedly, FAM 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 FAM will offset losses from the drop in FAM's long position.| New America vs. Pioneer Municipal High | New America vs. DWS Municipal Income | New America vs. RiverNorth Specialty Finance | New America vs. Putnam Managed Municipal |
| FAM vs. Blackstone Gso Long | FAM vs. Blackstone Gso Senior | FAM vs. Nuveen Floating Rate | FAM vs. Pioneer Floating Rate |
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 Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.
Other Complementary Tools
| Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
| Global Correlations Find global opportunities by holding instruments from different markets | |
| Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules | |
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| Analyst Advice Analyst recommendations and target price estimates broken down by several categories |