Correlation Between Dreyfus New and Putnam Convertible
Can any of the company-specific risk be diversified away by investing in both Dreyfus New and Putnam Convertible 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 Dreyfus New and Putnam Convertible into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dreyfus New York and Putnam Convertible Incm Gwth, you can compare the effects of market volatilities on Dreyfus New and Putnam Convertible 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 Dreyfus New with a short position of Putnam Convertible. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dreyfus New and Putnam Convertible.
Diversification Opportunities for Dreyfus New and Putnam Convertible
0.27 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Dreyfus and Putnam is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding Dreyfus New York and Putnam Convertible Incm Gwth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Putnam Convertible Incm and Dreyfus New 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 Dreyfus New York are associated (or correlated) with Putnam Convertible. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Putnam Convertible Incm has no effect on the direction of Dreyfus New i.e., Dreyfus New and Putnam Convertible go up and down completely randomly.
Pair Corralation between Dreyfus New and Putnam Convertible
Assuming the 90 days horizon Dreyfus New York is expected to generate 0.37 times more return on investment than Putnam Convertible. However, Dreyfus New York is 2.68 times less risky than Putnam Convertible. It trades about -0.26 of its potential returns per unit of risk. Putnam Convertible Incm Gwth is currently generating about -0.18 per unit of risk. If you would invest 1,375 in Dreyfus New York on September 25, 2024 and sell it today you would lose (19.00) from holding Dreyfus New York or give up 1.38% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Dreyfus New York vs. Putnam Convertible Incm Gwth
Performance |
Timeline |
Dreyfus New York |
Putnam Convertible Incm |
Dreyfus New and Putnam Convertible Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dreyfus New and Putnam Convertible
The main advantage of trading using opposite Dreyfus New and Putnam Convertible positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dreyfus New position performs unexpectedly, Putnam Convertible 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 Convertible will offset losses from the drop in Putnam Convertible's long position.Dreyfus New vs. Putnam Convertible Incm Gwth | Dreyfus New vs. Allianzgi Convertible Income | Dreyfus New vs. Calamos Dynamic Convertible | Dreyfus New vs. Absolute Convertible Arbitrage |
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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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