Correlation Between Uber Technologies and Putnam Floating
Can any of the company-specific risk be diversified away by investing in both Uber Technologies 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 Uber Technologies and Putnam Floating into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Uber Technologies and Putnam Floating Rate, you can compare the effects of market volatilities on Uber Technologies 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 Uber Technologies with a short position of Putnam Floating. Check out your portfolio center. Please also check ongoing floating volatility patterns of Uber Technologies and Putnam Floating.
Diversification Opportunities for Uber Technologies and Putnam Floating
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Uber and Putnam is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Uber Technologies 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 Uber Technologies 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 Uber Technologies 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 Uber Technologies i.e., Uber Technologies and Putnam Floating go up and down completely randomly.
Pair Corralation between Uber Technologies and Putnam Floating
Given the investment horizon of 90 days Uber Technologies is expected to generate 12.99 times more return on investment than Putnam Floating. However, Uber Technologies is 12.99 times more volatile than Putnam Floating Rate. It trades about 0.05 of its potential returns per unit of risk. Putnam Floating Rate is currently generating about 0.23 per unit of risk. If you would invest 8,365 in Uber Technologies on May 7, 2025 and sell it today you would earn a total of 478.00 from holding Uber Technologies or generate 5.71% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Uber Technologies vs. Putnam Floating Rate
Performance |
Timeline |
Uber Technologies |
Putnam Floating Rate |
Uber Technologies and Putnam Floating Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Uber Technologies and Putnam Floating
The main advantage of trading using opposite Uber Technologies and Putnam Floating positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Uber Technologies 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.Uber Technologies vs. Zoom Video Communications | Uber Technologies vs. Snowflake | Uber Technologies vs. Workday | Uber Technologies vs. C3 Ai Inc |
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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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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