Correlation Between Commodities Strategy and Putnam High
Can any of the company-specific risk be diversified away by investing in both Commodities Strategy and Putnam High 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 Commodities Strategy and Putnam High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Commodities Strategy Fund and Putnam High Yield, you can compare the effects of market volatilities on Commodities Strategy and Putnam High 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 Commodities Strategy with a short position of Putnam High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Commodities Strategy and Putnam High.
Diversification Opportunities for Commodities Strategy and Putnam High
-0.06 | Correlation Coefficient |
Good diversification
The 3 months correlation between Commodities and Putnam is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding Commodities Strategy Fund and Putnam High Yield in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Putnam High Yield and Commodities Strategy 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 Commodities Strategy Fund are associated (or correlated) with Putnam High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Putnam High Yield has no effect on the direction of Commodities Strategy i.e., Commodities Strategy and Putnam High go up and down completely randomly.
Pair Corralation between Commodities Strategy and Putnam High
Assuming the 90 days horizon Commodities Strategy Fund is expected to under-perform the Putnam High. In addition to that, Commodities Strategy is 6.56 times more volatile than Putnam High Yield. It trades about -0.02 of its total potential returns per unit of risk. Putnam High Yield is currently generating about 0.27 per unit of volatility. If you would invest 556.00 in Putnam High Yield on September 15, 2024 and sell it today you would earn a total of 31.00 from holding Putnam High Yield or generate 5.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 99.21% |
Values | Daily Returns |
Commodities Strategy Fund vs. Putnam High Yield
Performance |
Timeline |
Commodities Strategy |
Putnam High Yield |
Commodities Strategy and Putnam High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Commodities Strategy and Putnam High
The main advantage of trading using opposite Commodities Strategy and Putnam High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Commodities Strategy position performs unexpectedly, Putnam High 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 High will offset losses from the drop in Putnam High's long position.Commodities Strategy vs. Basic Materials Fund | Commodities Strategy vs. Energy Services Fund | Commodities Strategy vs. Real Estate Fund | Commodities Strategy vs. Precious Metals 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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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