Correlation Between Extended Market and Putnam Floating
Can any of the company-specific risk be diversified away by investing in both Extended Market and Putnam Floating 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 Extended Market and Putnam Floating into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Extended Market Index and Putnam Floating Rate, you can compare the effects of market volatilities on Extended Market and Putnam Floating 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 Extended Market with a short position of Putnam Floating. Check out your portfolio center. Please also check ongoing floating volatility patterns of Extended Market and Putnam Floating.
Diversification Opportunities for Extended Market and Putnam Floating
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Extended and Putnam is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Extended Market Index and Putnam Floating Rate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Putnam Floating Rate and Extended Market 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 Extended Market Index are associated (or correlated) with Putnam Floating. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Putnam Floating Rate has no effect on the direction of Extended Market i.e., Extended Market and Putnam Floating go up and down completely randomly.
Pair Corralation between Extended Market and Putnam Floating
Assuming the 90 days horizon Extended Market Index is expected to generate 11.19 times more return on investment than Putnam Floating. However, Extended Market is 11.19 times more volatile than Putnam Floating Rate. It trades about 0.3 of its potential returns per unit of risk. Putnam Floating Rate is currently generating about 0.3 per unit of risk. If you would invest 2,327 in Extended Market Index on August 28, 2024 and sell it today you would earn a total of 201.00 from holding Extended Market Index or generate 8.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Extended Market Index vs. Putnam Floating Rate
Performance |
Timeline |
Extended Market Index |
Putnam Floating Rate |
Extended Market and Putnam Floating Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Extended Market and Putnam Floating
The main advantage of trading using opposite Extended Market and Putnam Floating positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Extended Market position performs unexpectedly, Putnam Floating 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 Floating will offset losses from the drop in Putnam Floating's long position.Extended Market vs. Income Fund Income | Extended Market vs. Usaa Nasdaq 100 | Extended Market vs. Victory Diversified Stock | Extended Market vs. Intermediate Term Bond Fund |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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