Correlation Between Chestnut Street and Putnam Global
Can any of the company-specific risk be diversified away by investing in both Chestnut Street and Putnam Global 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 Chestnut Street and Putnam Global into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chestnut Street Exchange and Putnam Global Income, you can compare the effects of market volatilities on Chestnut Street and Putnam Global 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 Chestnut Street with a short position of Putnam Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chestnut Street and Putnam Global.
Diversification Opportunities for Chestnut Street and Putnam Global
-0.34 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Chestnut and Putnam is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding Chestnut Street Exchange and Putnam Global Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Putnam Global Income and Chestnut Street 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 Chestnut Street Exchange are associated (or correlated) with Putnam Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Putnam Global Income has no effect on the direction of Chestnut Street i.e., Chestnut Street and Putnam Global go up and down completely randomly.
Pair Corralation between Chestnut Street and Putnam Global
Assuming the 90 days horizon Chestnut Street Exchange is expected to generate 2.18 times more return on investment than Putnam Global. However, Chestnut Street is 2.18 times more volatile than Putnam Global Income. It trades about 0.09 of its potential returns per unit of risk. Putnam Global Income is currently generating about 0.03 per unit of risk. If you would invest 84,318 in Chestnut Street Exchange on September 26, 2024 and sell it today you would earn a total of 29,658 from holding Chestnut Street Exchange or generate 35.17% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 99.8% |
Values | Daily Returns |
Chestnut Street Exchange vs. Putnam Global Income
Performance |
Timeline |
Chestnut Street Exchange |
Putnam Global Income |
Chestnut Street and Putnam Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chestnut Street and Putnam Global
The main advantage of trading using opposite Chestnut Street and Putnam Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chestnut Street position performs unexpectedly, Putnam Global 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 Global will offset losses from the drop in Putnam Global's long position.Chestnut Street vs. T Rowe Price | Chestnut Street vs. Blackrock Sm Cap | Chestnut Street vs. Huber Capital Diversified | Chestnut Street vs. Davenport Small Cap |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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