Correlation Between Bbh Intermediate and Power Momentum
Can any of the company-specific risk be diversified away by investing in both Bbh Intermediate and Power Momentum 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 Bbh Intermediate and Power Momentum into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bbh Intermediate Municipal and Power Momentum Index, you can compare the effects of market volatilities on Bbh Intermediate and Power Momentum 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 Bbh Intermediate with a short position of Power Momentum. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bbh Intermediate and Power Momentum.
Diversification Opportunities for Bbh Intermediate and Power Momentum
-0.04 | Correlation Coefficient |
Good diversification
The 3 months correlation between Bbh and Power is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding Bbh Intermediate Municipal and Power Momentum Index in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Power Momentum Index and Bbh Intermediate 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 Bbh Intermediate Municipal are associated (or correlated) with Power Momentum. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Power Momentum Index has no effect on the direction of Bbh Intermediate i.e., Bbh Intermediate and Power Momentum go up and down completely randomly.
Pair Corralation between Bbh Intermediate and Power Momentum
Assuming the 90 days horizon Bbh Intermediate Municipal is expected to generate 0.12 times more return on investment than Power Momentum. However, Bbh Intermediate Municipal is 8.52 times less risky than Power Momentum. It trades about 0.12 of its potential returns per unit of risk. Power Momentum Index is currently generating about -0.08 per unit of risk. If you would invest 1,012 in Bbh Intermediate Municipal on December 19, 2024 and sell it today you would earn a total of 12.00 from holding Bbh Intermediate Municipal or generate 1.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Bbh Intermediate Municipal vs. Power Momentum Index
Performance |
Timeline |
Bbh Intermediate Mun |
Power Momentum Index |
Bbh Intermediate and Power Momentum Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bbh Intermediate and Power Momentum
The main advantage of trading using opposite Bbh Intermediate and Power Momentum positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bbh Intermediate position performs unexpectedly, Power Momentum 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 Power Momentum will offset losses from the drop in Power Momentum's long position.Bbh Intermediate vs. Champlain Mid Cap | Bbh Intermediate vs. Eip Growth And | Bbh Intermediate vs. Growth Allocation Fund | Bbh Intermediate vs. The Hartford Growth |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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