Correlation Between Gmo Resources and Putnam Growth
Can any of the company-specific risk be diversified away by investing in both Gmo Resources and Putnam Growth 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 Resources and Putnam Growth into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gmo Resources and Putnam Growth Opportunities, you can compare the effects of market volatilities on Gmo Resources and Putnam Growth 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 Resources with a short position of Putnam Growth. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gmo Resources and Putnam Growth.
Diversification Opportunities for Gmo Resources and Putnam Growth
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Gmo and Putnam is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding Gmo Resources and Putnam Growth Opportunities in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Putnam Growth Opport and Gmo Resources 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 Resources are associated (or correlated) with Putnam Growth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Putnam Growth Opport has no effect on the direction of Gmo Resources i.e., Gmo Resources and Putnam Growth go up and down completely randomly.
Pair Corralation between Gmo Resources and Putnam Growth
Assuming the 90 days horizon Gmo Resources is expected to under-perform the Putnam Growth. In addition to that, Gmo Resources is 1.1 times more volatile than Putnam Growth Opportunities. It trades about -0.19 of its total potential returns per unit of risk. Putnam Growth Opportunities is currently generating about -0.03 per unit of volatility. If you would invest 7,686 in Putnam Growth Opportunities on October 10, 2024 and sell it today you would lose (78.00) from holding Putnam Growth Opportunities or give up 1.01% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 95.24% |
Values | Daily Returns |
Gmo Resources vs. Putnam Growth Opportunities
Performance |
Timeline |
Gmo Resources |
Putnam Growth Opport |
Gmo Resources and Putnam Growth Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gmo Resources and Putnam Growth
The main advantage of trading using opposite Gmo Resources and Putnam Growth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gmo Resources position performs unexpectedly, Putnam Growth 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 Growth will offset losses from the drop in Putnam Growth's long position.Gmo Resources vs. Rmb Mendon Financial | Gmo Resources vs. Gabelli Global Financial | Gmo Resources vs. Fidelity Advisor Financial | Gmo Resources vs. Putnam Global Financials |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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