Correlation Between Putnam Global and Volumetric Fund
Can any of the company-specific risk be diversified away by investing in both Putnam Global and Volumetric Fund 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 Putnam Global and Volumetric Fund into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Putnam Global Financials and Volumetric Fund Volumetric, you can compare the effects of market volatilities on Putnam Global and Volumetric Fund 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 Putnam Global with a short position of Volumetric Fund. Check out your portfolio center. Please also check ongoing floating volatility patterns of Putnam Global and Volumetric Fund.
Diversification Opportunities for Putnam Global and Volumetric Fund
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Putnam and Volumetric is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Putnam Global Financials and Volumetric Fund Volumetric in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Volumetric Fund Volu and Putnam Global 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 Putnam Global Financials are associated (or correlated) with Volumetric Fund. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Volumetric Fund Volu has no effect on the direction of Putnam Global i.e., Putnam Global and Volumetric Fund go up and down completely randomly.
Pair Corralation between Putnam Global and Volumetric Fund
Assuming the 90 days horizon Putnam Global Financials is expected to generate 0.47 times more return on investment than Volumetric Fund. However, Putnam Global Financials is 2.12 times less risky than Volumetric Fund. It trades about 0.04 of its potential returns per unit of risk. Volumetric Fund Volumetric is currently generating about -0.13 per unit of risk. If you would invest 1,046 in Putnam Global Financials on November 6, 2024 and sell it today you would earn a total of 11.00 from holding Putnam Global Financials or generate 1.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Putnam Global Financials vs. Volumetric Fund Volumetric
Performance |
Timeline |
Putnam Global Financials |
Volumetric Fund Volu |
Putnam Global and Volumetric Fund Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Putnam Global and Volumetric Fund
The main advantage of trading using opposite Putnam Global and Volumetric Fund positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Putnam Global position performs unexpectedly, Volumetric Fund 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 Volumetric Fund will offset losses from the drop in Volumetric Fund's long position.Putnam Global vs. Lord Abbett Diversified | Putnam Global vs. Allianzgi Diversified Income | Putnam Global vs. Tax Free Conservative Income | Putnam Global vs. Prudential Core Conservative |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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