Correlation Between Short-term Fund and Putnam Ultra
Can any of the company-specific risk be diversified away by investing in both Short-term Fund and Putnam Ultra 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 Short-term Fund and Putnam Ultra into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Short Term Fund Institutional and Putnam Ultra Short, you can compare the effects of market volatilities on Short-term Fund and Putnam Ultra 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 Short-term Fund with a short position of Putnam Ultra. Check out your portfolio center. Please also check ongoing floating volatility patterns of Short-term Fund and Putnam Ultra.
Diversification Opportunities for Short-term Fund and Putnam Ultra
0.98 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Short-term and Putnam is 0.98. Overlapping area represents the amount of risk that can be diversified away by holding Short Term Fund Institutional and Putnam Ultra Short in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Putnam Ultra Short and Short-term Fund 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 Short Term Fund Institutional are associated (or correlated) with Putnam Ultra. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Putnam Ultra Short has no effect on the direction of Short-term Fund i.e., Short-term Fund and Putnam Ultra go up and down completely randomly.
Pair Corralation between Short-term Fund and Putnam Ultra
Assuming the 90 days horizon Short Term Fund Institutional is expected to generate 0.96 times more return on investment than Putnam Ultra. However, Short Term Fund Institutional is 1.04 times less risky than Putnam Ultra. It trades about 0.24 of its potential returns per unit of risk. Putnam Ultra Short is currently generating about 0.2 per unit of risk. If you would invest 863.00 in Short Term Fund Institutional on November 4, 2024 and sell it today you would earn a total of 105.00 from holding Short Term Fund Institutional or generate 12.17% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Short Term Fund Institutional vs. Putnam Ultra Short
Performance |
Timeline |
Short Term Fund |
Putnam Ultra Short |
Short-term Fund and Putnam Ultra Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Short-term Fund and Putnam Ultra
The main advantage of trading using opposite Short-term Fund and Putnam Ultra positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Short-term Fund position performs unexpectedly, Putnam Ultra 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 Ultra will offset losses from the drop in Putnam Ultra's long position.Short-term Fund vs. Jpmorgan Short Duration | Short-term Fund vs. Low Duration Fund | Short-term Fund vs. Massachusetts Investors Trust | Short-term Fund vs. Investment Grade Porate |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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