Correlation Between The Gabelli and Putnam International
Can any of the company-specific risk be diversified away by investing in both The Gabelli and Putnam International 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 The Gabelli and Putnam International into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between The Gabelli Small and Putnam International Capital, you can compare the effects of market volatilities on The Gabelli and Putnam International 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 The Gabelli with a short position of Putnam International. Check out your portfolio center. Please also check ongoing floating volatility patterns of The Gabelli and Putnam International.
Diversification Opportunities for The Gabelli and Putnam International
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between The and Putnam is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding The Gabelli Small and Putnam International Capital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Putnam International and The Gabelli 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 The Gabelli Small are associated (or correlated) with Putnam International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Putnam International has no effect on the direction of The Gabelli i.e., The Gabelli and Putnam International go up and down completely randomly.
Pair Corralation between The Gabelli and Putnam International
Assuming the 90 days horizon The Gabelli Small is expected to under-perform the Putnam International. In addition to that, The Gabelli is 1.16 times more volatile than Putnam International Capital. It trades about -0.06 of its total potential returns per unit of risk. Putnam International Capital is currently generating about 0.14 per unit of volatility. If you would invest 3,795 in Putnam International Capital on December 25, 2024 and sell it today you would earn a total of 291.00 from holding Putnam International Capital or generate 7.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
The Gabelli Small vs. Putnam International Capital
Performance |
Timeline |
Gabelli Small |
Putnam International |
The Gabelli and Putnam International Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with The Gabelli and Putnam International
The main advantage of trading using opposite The Gabelli and Putnam International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if The Gabelli position performs unexpectedly, Putnam International 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 International will offset losses from the drop in Putnam International's long position.The Gabelli vs. The Gabelli Asset | The Gabelli vs. The Gabelli Equity | The Gabelli vs. The Gabelli Growth | The Gabelli vs. Parnassus E Equity |
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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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