Correlation Between Franklin Vertible and Putnam Short
Can any of the company-specific risk be diversified away by investing in both Franklin Vertible and Putnam Short 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 Franklin Vertible and Putnam Short into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin Vertible Securities and Putnam Short Duration, you can compare the effects of market volatilities on Franklin Vertible and Putnam Short 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 Franklin Vertible with a short position of Putnam Short. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin Vertible and Putnam Short.
Diversification Opportunities for Franklin Vertible and Putnam Short
-0.06 | Correlation Coefficient |
Good diversification
The 3 months correlation between Franklin and Putnam is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding Franklin Vertible Securities and Putnam Short Duration in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Putnam Short Duration and Franklin Vertible 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 Franklin Vertible Securities are associated (or correlated) with Putnam Short. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Putnam Short Duration has no effect on the direction of Franklin Vertible i.e., Franklin Vertible and Putnam Short go up and down completely randomly.
Pair Corralation between Franklin Vertible and Putnam Short
Assuming the 90 days horizon Franklin Vertible Securities is expected to generate 5.08 times more return on investment than Putnam Short. However, Franklin Vertible is 5.08 times more volatile than Putnam Short Duration. It trades about 0.07 of its potential returns per unit of risk. Putnam Short Duration is currently generating about 0.21 per unit of risk. If you would invest 2,004 in Franklin Vertible Securities on October 27, 2024 and sell it today you would earn a total of 391.00 from holding Franklin Vertible Securities or generate 19.51% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin Vertible Securities vs. Putnam Short Duration
Performance |
Timeline |
Franklin Vertible |
Putnam Short Duration |
Franklin Vertible and Putnam Short Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin Vertible and Putnam Short
The main advantage of trading using opposite Franklin Vertible and Putnam Short positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin Vertible position performs unexpectedly, Putnam Short 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 Short will offset losses from the drop in Putnam Short's long position.Franklin Vertible vs. Alger Health Sciences | Franklin Vertible vs. Hartford Healthcare Hls | Franklin Vertible vs. Lord Abbett Health | Franklin Vertible vs. Hartford Healthcare Hls |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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