Correlation Between Bbh Intermediate and Putnam Global
Can any of the company-specific risk be diversified away by investing in both Bbh Intermediate and Putnam Global 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 Putnam Global 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 Putnam Global Equity, you can compare the effects of market volatilities on Bbh Intermediate and Putnam Global 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 Putnam Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bbh Intermediate and Putnam Global.
Diversification Opportunities for Bbh Intermediate and Putnam Global
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between BBH and Putnam is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding Bbh Intermediate Municipal and Putnam Global Equity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Putnam Global Equity 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 Putnam Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Putnam Global Equity has no effect on the direction of Bbh Intermediate i.e., Bbh Intermediate and Putnam Global go up and down completely randomly.
Pair Corralation between Bbh Intermediate and Putnam Global
Assuming the 90 days horizon Bbh Intermediate Municipal is expected to generate 0.25 times more return on investment than Putnam Global. However, Bbh Intermediate Municipal is 3.99 times less risky than Putnam Global. It trades about 0.04 of its potential returns per unit of risk. Putnam Global Equity is currently generating about -0.04 per unit of risk. If you would invest 1,032 in Bbh Intermediate Municipal on September 5, 2024 and sell it today you would earn a total of 5.00 from holding Bbh Intermediate Municipal or generate 0.48% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bbh Intermediate Municipal vs. Putnam Global Equity
Performance |
Timeline |
Bbh Intermediate Mun |
Putnam Global Equity |
Bbh Intermediate and Putnam Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bbh Intermediate and Putnam Global
The main advantage of trading using opposite Bbh Intermediate and Putnam Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bbh Intermediate position performs unexpectedly, Putnam Global 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 Putnam Global will offset losses from the drop in Putnam Global's long position.Bbh Intermediate vs. Bbh Limited Duration | Bbh Intermediate vs. Bbh Limited Duration | Bbh Intermediate vs. Bbh Partner Fund | Bbh Intermediate vs. Bbh Partner Fund |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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