Correlation Between NYSE Composite and Putnam Dynamic
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Putnam Dynamic 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 NYSE Composite and Putnam Dynamic into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Putnam Dynamic Asset, you can compare the effects of market volatilities on NYSE Composite and Putnam Dynamic 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 NYSE Composite with a short position of Putnam Dynamic. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Putnam Dynamic.
Diversification Opportunities for NYSE Composite and Putnam Dynamic
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between NYSE and Putnam is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Putnam Dynamic Asset in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Putnam Dynamic Asset and NYSE Composite 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 NYSE Composite are associated (or correlated) with Putnam Dynamic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Putnam Dynamic Asset has no effect on the direction of NYSE Composite i.e., NYSE Composite and Putnam Dynamic go up and down completely randomly.
Pair Corralation between NYSE Composite and Putnam Dynamic
Assuming the 90 days trading horizon NYSE Composite is expected to under-perform the Putnam Dynamic. In addition to that, NYSE Composite is 1.54 times more volatile than Putnam Dynamic Asset. It trades about -0.02 of its total potential returns per unit of risk. Putnam Dynamic Asset is currently generating about 0.11 per unit of volatility. If you would invest 1,072 in Putnam Dynamic Asset on December 4, 2024 and sell it today you would earn a total of 9.00 from holding Putnam Dynamic Asset or generate 0.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
NYSE Composite vs. Putnam Dynamic Asset
Performance |
Timeline |
NYSE Composite and Putnam Dynamic Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Putnam Dynamic Asset
Pair trading matchups for Putnam Dynamic
Pair Trading with NYSE Composite and Putnam Dynamic
The main advantage of trading using opposite NYSE Composite and Putnam Dynamic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Putnam Dynamic 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 Dynamic will offset losses from the drop in Putnam Dynamic's long position.NYSE Composite vs. Lincoln Educational Services | NYSE Composite vs. Scholastic | NYSE Composite vs. Integral Ad Science | NYSE Composite vs. Ihuman Inc |
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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 Global Correlations module to find global opportunities by holding instruments from different markets.
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