Correlation Between American Funds and Putnam Multi
Can any of the company-specific risk be diversified away by investing in both American Funds and Putnam Multi 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 American Funds and Putnam Multi into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between American Funds Conservative and Putnam Multi Cap Growth, you can compare the effects of market volatilities on American Funds and Putnam Multi 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 American Funds with a short position of Putnam Multi. Check out your portfolio center. Please also check ongoing floating volatility patterns of American Funds and Putnam Multi.
Diversification Opportunities for American Funds and Putnam Multi
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between American and Putnam is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding American Funds Conservative and Putnam Multi Cap Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Putnam Multi Cap and American Funds 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 American Funds Conservative are associated (or correlated) with Putnam Multi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Putnam Multi Cap has no effect on the direction of American Funds i.e., American Funds and Putnam Multi go up and down completely randomly.
Pair Corralation between American Funds and Putnam Multi
Assuming the 90 days horizon American Funds is expected to generate 2.83 times less return on investment than Putnam Multi. But when comparing it to its historical volatility, American Funds Conservative is 2.09 times less risky than Putnam Multi. It trades about 0.07 of its potential returns per unit of risk. Putnam Multi Cap Growth is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 7,972 in Putnam Multi Cap Growth on October 5, 2024 and sell it today you would earn a total of 3,467 from holding Putnam Multi Cap Growth or generate 43.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
American Funds Conservative vs. Putnam Multi Cap Growth
Performance |
Timeline |
American Funds Conse |
Putnam Multi Cap |
American Funds and Putnam Multi Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with American Funds and Putnam Multi
The main advantage of trading using opposite American Funds and Putnam Multi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Funds position performs unexpectedly, Putnam Multi 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 Multi will offset losses from the drop in Putnam Multi's long position.American Funds vs. Angel Oak Ultrashort | American Funds vs. Barings Active Short | American Funds vs. Alpine Ultra Short | American Funds vs. Jhancock Short Duration |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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