Correlation Between Nebraska Municipal and Ambrus Core
Can any of the company-specific risk be diversified away by investing in both Nebraska Municipal and Ambrus Core 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 Nebraska Municipal and Ambrus Core into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nebraska Municipal Fund and Ambrus Core Bond, you can compare the effects of market volatilities on Nebraska Municipal and Ambrus Core 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 Nebraska Municipal with a short position of Ambrus Core. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nebraska Municipal and Ambrus Core.
Diversification Opportunities for Nebraska Municipal and Ambrus Core
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Nebraska and Ambrus is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Nebraska Municipal Fund and Ambrus Core Bond in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ambrus Core Bond and Nebraska Municipal 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 Nebraska Municipal Fund are associated (or correlated) with Ambrus Core. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ambrus Core Bond has no effect on the direction of Nebraska Municipal i.e., Nebraska Municipal and Ambrus Core go up and down completely randomly.
Pair Corralation between Nebraska Municipal and Ambrus Core
Assuming the 90 days horizon Nebraska Municipal Fund is expected to generate 2.16 times more return on investment than Ambrus Core. However, Nebraska Municipal is 2.16 times more volatile than Ambrus Core Bond. It trades about 0.18 of its potential returns per unit of risk. Ambrus Core Bond is currently generating about 0.14 per unit of risk. If you would invest 930.00 in Nebraska Municipal Fund on September 3, 2024 and sell it today you would earn a total of 13.00 from holding Nebraska Municipal Fund or generate 1.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Nebraska Municipal Fund vs. Ambrus Core Bond
Performance |
Timeline |
Nebraska Municipal |
Ambrus Core Bond |
Nebraska Municipal and Ambrus Core Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nebraska Municipal and Ambrus Core
The main advantage of trading using opposite Nebraska Municipal and Ambrus Core positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nebraska Municipal position performs unexpectedly, Ambrus Core 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 Ambrus Core will offset losses from the drop in Ambrus Core's long position.Nebraska Municipal vs. Touchstone Ultra Short | Nebraska Municipal vs. Aqr Long Short Equity | Nebraska Municipal vs. Astor Longshort Fund | Nebraska Municipal vs. Quantitative Longshort Equity |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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