Correlation Between Gmo Us and Putnam Global
Can any of the company-specific risk be diversified away by investing in both Gmo Us 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 Gmo Us and Putnam Global into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gmo Equity Allocation and Putnam Global Incm, you can compare the effects of market volatilities on Gmo Us 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 Gmo Us with a short position of Putnam Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gmo Us and Putnam Global.
Diversification Opportunities for Gmo Us and Putnam Global
-0.68 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between GMO and Putnam is -0.68. Overlapping area represents the amount of risk that can be diversified away by holding Gmo Equity Allocation and Putnam Global Incm in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Putnam Global Incm and Gmo Us 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 Gmo Equity Allocation 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 Incm has no effect on the direction of Gmo Us i.e., Gmo Us and Putnam Global go up and down completely randomly.
Pair Corralation between Gmo Us and Putnam Global
Assuming the 90 days horizon Gmo Equity Allocation is expected to generate 4.57 times more return on investment than Putnam Global. However, Gmo Us is 4.57 times more volatile than Putnam Global Incm. It trades about 0.13 of its potential returns per unit of risk. Putnam Global Incm is currently generating about -0.09 per unit of risk. If you would invest 1,432 in Gmo Equity Allocation on August 28, 2024 and sell it today you would earn a total of 38.00 from holding Gmo Equity Allocation or generate 2.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Gmo Equity Allocation vs. Putnam Global Incm
Performance |
Timeline |
Gmo Equity Allocation |
Putnam Global Incm |
Gmo Us and Putnam Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gmo Us and Putnam Global
The main advantage of trading using opposite Gmo Us and Putnam Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gmo Us 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.The idea behind Gmo Equity Allocation and Putnam Global Incm pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Putnam Global vs. Putnam Equity Income | Putnam Global vs. Putnam Tax Exempt | Putnam Global vs. Putnam Floating Rate | Putnam Global vs. Putnam High Yield |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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