Correlation Between New America and Western Asset
Can any of the company-specific risk be diversified away by investing in both New America and Western Asset 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 Western Asset 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 Western Asset High, you can compare the effects of market volatilities on New America and Western Asset 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 Western Asset. Check out your portfolio center. Please also check ongoing floating volatility patterns of New America and Western Asset.
Diversification Opportunities for New America and Western Asset
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between New and Western is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding New America High and Western Asset High in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Western Asset High 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 Western Asset. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Western Asset High has no effect on the direction of New America i.e., New America and Western Asset go up and down completely randomly.
Pair Corralation between New America and Western Asset
Considering the 90-day investment horizon New America High is expected to under-perform the Western Asset. But the etf apears to be less risky and, when comparing its historical volatility, New America High is 1.64 times less risky than Western Asset. The etf trades about -0.02 of its potential returns per unit of risk. The Western Asset High is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 386.00 in Western Asset High on December 4, 2024 and sell it today you would earn a total of 21.00 from holding Western Asset High or generate 5.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 91.53% |
Values | Daily Returns |
New America High vs. Western Asset High
Performance |
Timeline |
New America High |
Risk-Adjusted Performance
Very Weak
Weak | Strong |
Western Asset High |
New America and Western Asset Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with New America and Western Asset
The main advantage of trading using opposite New America and Western Asset positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if New America position performs unexpectedly, Western Asset 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 Western Asset will offset losses from the drop in Western Asset'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 |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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