Correlation Between Leggmason Partners and Ambrus Core
Can any of the company-specific risk be diversified away by investing in both Leggmason Partners 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 Leggmason Partners and Ambrus Core into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Leggmason Partners Institutional and Ambrus Core Bond, you can compare the effects of market volatilities on Leggmason Partners 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 Leggmason Partners with a short position of Ambrus Core. Check out your portfolio center. Please also check ongoing floating volatility patterns of Leggmason Partners and Ambrus Core.
Diversification Opportunities for Leggmason Partners and Ambrus Core
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Leggmason and Ambrus is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Leggmason Partners Institution 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 Leggmason Partners 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 Leggmason Partners Institutional 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 Leggmason Partners i.e., Leggmason Partners and Ambrus Core go up and down completely randomly.
Pair Corralation between Leggmason Partners and Ambrus Core
Assuming the 90 days horizon Leggmason Partners is expected to generate 1.22 times less return on investment than Ambrus Core. In addition to that, Leggmason Partners is 2.03 times more volatile than Ambrus Core Bond. It trades about 0.02 of its total potential returns per unit of risk. Ambrus Core Bond is currently generating about 0.06 per unit of volatility. If you would invest 917.00 in Ambrus Core Bond on October 15, 2024 and sell it today you would earn a total of 65.00 from holding Ambrus Core Bond or generate 7.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 99.4% |
Values | Daily Returns |
Leggmason Partners Institution vs. Ambrus Core Bond
Performance |
Timeline |
Leggmason Partners |
Ambrus Core Bond |
Leggmason Partners and Ambrus Core Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Leggmason Partners and Ambrus Core
The main advantage of trading using opposite Leggmason Partners and Ambrus Core positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Leggmason Partners 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.Leggmason Partners vs. Catalystsmh High Income | Leggmason Partners vs. Pace High Yield | Leggmason Partners vs. Mesirow Financial High | Leggmason Partners vs. Aqr Risk Parity |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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