Correlation Between Dow Jones and Putnam Multi
Can any of the company-specific risk be diversified away by investing in both Dow Jones 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 Dow Jones and Putnam Multi into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dow Jones Industrial and Putnam Multi Cap Growth, you can compare the effects of market volatilities on Dow Jones 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 Dow Jones with a short position of Putnam Multi. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Putnam Multi.
Diversification Opportunities for Dow Jones and Putnam Multi
0.24 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Dow and Putnam is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial 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 Dow Jones 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 Dow Jones Industrial 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 Dow Jones i.e., Dow Jones and Putnam Multi go up and down completely randomly.
Pair Corralation between Dow Jones and Putnam Multi
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.61 times more return on investment than Putnam Multi. However, Dow Jones Industrial is 1.63 times less risky than Putnam Multi. It trades about 0.02 of its potential returns per unit of risk. Putnam Multi Cap Growth is currently generating about -0.12 per unit of risk. If you would invest 4,251,495 in Dow Jones Industrial on September 23, 2024 and sell it today you would earn a total of 32,531 from holding Dow Jones Industrial or generate 0.77% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Dow Jones Industrial vs. Putnam Multi Cap Growth
Performance |
Timeline |
Dow Jones and Putnam Multi Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Putnam Multi Cap Growth
Pair trading matchups for Putnam Multi
Pair Trading with Dow Jones and Putnam Multi
The main advantage of trading using opposite Dow Jones and Putnam Multi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones 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.Dow Jones vs. Nok Airlines Public | Dow Jones vs. Alaska Air Group | Dow Jones vs. Universal Music Group | Dow Jones vs. Copa Holdings SA |
Putnam Multi vs. Putnam Equity Income | Putnam Multi vs. Putnam Tax Exempt | Putnam Multi vs. Putnam Floating Rate | Putnam Multi vs. Putnam High Yield |
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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