Correlation Between Putnam Ultra and Short-term Fund
Can any of the company-specific risk be diversified away by investing in both Putnam Ultra and Short-term 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 Ultra and Short-term Fund into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Putnam Ultra Short and Short Term Fund Institutional, you can compare the effects of market volatilities on Putnam Ultra and Short-term 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 Ultra with a short position of Short-term Fund. Check out your portfolio center. Please also check ongoing floating volatility patterns of Putnam Ultra and Short-term Fund.
Diversification Opportunities for Putnam Ultra and Short-term Fund
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Putnam and Short-term is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Putnam Ultra Short and Short Term Fund Institutional in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Short Term Fund and Putnam Ultra 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 Ultra Short are associated (or correlated) with Short-term Fund. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Short Term Fund has no effect on the direction of Putnam Ultra i.e., Putnam Ultra and Short-term Fund go up and down completely randomly.
Pair Corralation between Putnam Ultra and Short-term Fund
Assuming the 90 days horizon Putnam Ultra is expected to generate 1.01 times less return on investment than Short-term Fund. In addition to that, Putnam Ultra is 1.0 times more volatile than Short Term Fund Institutional. It trades about 0.2 of its total potential returns per unit of risk. Short Term Fund Institutional is currently generating about 0.2 per unit of volatility. If you would invest 939.00 in Short Term Fund Institutional on September 3, 2024 and sell it today you would earn a total of 27.00 from holding Short Term Fund Institutional or generate 2.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Putnam Ultra Short vs. Short Term Fund Institutional
Performance |
Timeline |
Putnam Ultra Short |
Short Term Fund |
Putnam Ultra and Short-term Fund Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Putnam Ultra and Short-term Fund
The main advantage of trading using opposite Putnam Ultra and Short-term Fund positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Putnam Ultra position performs unexpectedly, Short-term 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 Short-term Fund will offset losses from the drop in Short-term Fund's long position.Putnam Ultra vs. Prudential Government Money | Putnam Ultra vs. Elfun Government Money | Putnam Ultra vs. Dws Government Money | Putnam Ultra vs. Wells Fargo Funds |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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