Putnam Short Duration Fund Statistic Functions Beta
| PSDTX Fund | USD 10.08 0.00 0.00% |
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Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Beta measures systematic risk based on how returns on Putnam Short Duration correlated with the market. If Beta is less than 0 Putnam Short generally moves in the opposite direction as compared to the market. If Putnam Short Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Putnam Short Duration is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Putnam Short is generally in the same direction as the market. If Beta > 1 Putnam Short moves generally in the same direction as, but more than the movement of the benchmark.
Putnam Short Technical Analysis Modules
Most technical analysis of Putnam Short help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Putnam from various momentum indicators to cycle indicators. When you analyze Putnam charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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About Putnam Short Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Putnam Short Duration. We use our internally-developed statistical techniques to arrive at the intrinsic value of Putnam Short Duration based on widely used predictive technical indicators. In general, we focus on analyzing Putnam Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Putnam Short's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Putnam Short's intrinsic value. In addition to deriving basic predictive indicators for Putnam Short, we also check how macroeconomic factors affect Putnam Short price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Putnam Short's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
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