Correlation Between Putnam Master and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Putnam Master and Dow Jones 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 Master and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Putnam Master Intermediate and Dow Jones Industrial, you can compare the effects of market volatilities on Putnam Master and Dow Jones 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 Master with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Putnam Master and Dow Jones.
Diversification Opportunities for Putnam Master and Dow Jones
0.03 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Putnam and Dow is 0.03. Overlapping area represents the amount of risk that can be diversified away by holding Putnam Master Intermediate and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Putnam Master 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 Master Intermediate are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Putnam Master i.e., Putnam Master and Dow Jones go up and down completely randomly.
Pair Corralation between Putnam Master and Dow Jones
Considering the 90-day investment horizon Putnam Master is expected to generate 5.71 times less return on investment than Dow Jones. But when comparing it to its historical volatility, Putnam Master Intermediate is 1.26 times less risky than Dow Jones. It trades about 0.04 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 4,329,703 in Dow Jones Industrial on October 25, 2024 and sell it today you would earn a total of 126,804 from holding Dow Jones Industrial or generate 2.93% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 95.0% |
Values | Daily Returns |
Putnam Master Intermediate vs. Dow Jones Industrial
Performance |
Timeline |
Putnam Master and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Putnam Master Intermediate
Pair trading matchups for Putnam Master
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Putnam Master and Dow Jones
The main advantage of trading using opposite Putnam Master and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Putnam Master position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.Putnam Master vs. MFS High Income | Putnam Master vs. MFS Investment Grade | Putnam Master vs. Eaton Vance National | Putnam Master vs. MFS High Yield |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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