Correlation Between Putnam Growth and Segall Bryant
Can any of the company-specific risk be diversified away by investing in both Putnam Growth and Segall Bryant 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 Growth and Segall Bryant into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Putnam Growth Opportunities and Segall Bryant Hamill, you can compare the effects of market volatilities on Putnam Growth and Segall Bryant 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 Growth with a short position of Segall Bryant. Check out your portfolio center. Please also check ongoing floating volatility patterns of Putnam Growth and Segall Bryant.
Diversification Opportunities for Putnam Growth and Segall Bryant
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Putnam and Segall is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Putnam Growth Opportunities and Segall Bryant Hamill in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Segall Bryant Hamill and Putnam Growth 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 Growth Opportunities are associated (or correlated) with Segall Bryant. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Segall Bryant Hamill has no effect on the direction of Putnam Growth i.e., Putnam Growth and Segall Bryant go up and down completely randomly.
Pair Corralation between Putnam Growth and Segall Bryant
Assuming the 90 days horizon Putnam Growth is expected to generate 1.53 times less return on investment than Segall Bryant. But when comparing it to its historical volatility, Putnam Growth Opportunities is 1.5 times less risky than Segall Bryant. It trades about 0.3 of its potential returns per unit of risk. Segall Bryant Hamill is currently generating about 0.31 of returns per unit of risk over similar time horizon. If you would invest 1,303 in Segall Bryant Hamill on September 1, 2024 and sell it today you would earn a total of 123.00 from holding Segall Bryant Hamill or generate 9.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Putnam Growth Opportunities vs. Segall Bryant Hamill
Performance |
Timeline |
Putnam Growth Opport |
Segall Bryant Hamill |
Putnam Growth and Segall Bryant Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Putnam Growth and Segall Bryant
The main advantage of trading using opposite Putnam Growth and Segall Bryant positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Putnam Growth position performs unexpectedly, Segall Bryant 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 Segall Bryant will offset losses from the drop in Segall Bryant's long position.Putnam Growth vs. Putnam Equity Income | Putnam Growth vs. Putnam Multi Cap Growth | Putnam Growth vs. Putnam Global Health | Putnam Growth vs. Putnam International Equity |
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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 Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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