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 A, 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
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Putnam and Short-term is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Putnam Ultra Short and Short Term Fund A 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 Short is not expected to generate positive returns. However, Putnam Ultra Short is 1.27 times less risky than Short-term Fund. It waists most of its returns potential to compensate for thr risk taken. Short-term Fund is generating about 0.13 per unit of risk. If you would invest 967.00 in Short Term Fund A on October 5, 2024 and sell it today you would earn a total of 1.00 from holding Short Term Fund A or generate 0.1% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Putnam Ultra Short vs. Short Term Fund A
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. Vanguard Institutional Short Term | Putnam Ultra vs. Calvert Short Duration | Putnam Ultra vs. Fidelity Flex Servative | Putnam Ultra vs. Western Asset Short |
Short-term Fund vs. Harding Loevner Emerging | Short-term Fund vs. Transamerica Emerging Markets | Short-term Fund vs. Eagle Mlp Strategy | Short-term Fund vs. Franklin Emerging Market |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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