Putnam U S Fund Odds of Future Mutual Fund Price Finishing Over 13.57
| PGSIX Fund | USD 7.63 0.75 8.95% |
Putnam |
Putnam U Target Price Odds to finish over 13.57
The tendency of Putnam Mutual Fund price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to move over $ 13.57 or more in 90 days |
| 7.63 | 90 days | 13.57 | close to zero percent |
Based on a normal probability distribution, the odds of Putnam U to move over $ 13.57 or more in 90 days from now is close to zero percent (This Putnam U S probability density function shows the probability of Putnam Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Putnam U S price to stay between its current price of $ 7.63 and $ 13.57 at the end of the 90-day period is close to 99 .
Assuming the 90 days horizon Putnam U S has a beta of -0.18 indicating as returns on the benchmark increase, returns on holding Putnam U are expected to decrease at a much lower rate. During a bear market, however, Putnam U S is likely to outperform the market. Additionally Putnam U S has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial. Putnam U Price Density |
| Price |
Predictive Modules for Putnam U
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Putnam U S. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual fund market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Putnam U Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Putnam U is not an exception. The market had few large corrections towards the Putnam U's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Putnam U S, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Putnam U within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.17 | |
β | Beta against Dow Jones | -0.18 | |
σ | Overall volatility | 0.13 | |
Ir | Information ratio | -0.17 |
Putnam U Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Putnam U for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Putnam U S can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Putnam U S generated a negative expected return over the last 90 days | |
| Putnam U S generated five year return of -1.0% | |
| This fund maintains most of the assets in different exotic instruments. |
Putnam U Technical Analysis
Putnam U's future price can be derived by breaking down and analyzing its technical indicators over time. Putnam Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Putnam U S. In general, you should focus on analyzing Putnam Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Putnam U Predictive Forecast Models
Putnam U's time-series forecasting models is one of many Putnam U's mutual fund analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Putnam U's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the mutual fund market movement and maximize returns from investment trading.
Things to note about Putnam U S
Checking the ongoing alerts about Putnam U for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Putnam U S help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Putnam U S generated a negative expected return over the last 90 days | |
| Putnam U S generated five year return of -1.0% | |
| This fund maintains most of the assets in different exotic instruments. |
Other Information on Investing in Putnam Mutual Fund
Putnam U financial ratios help investors to determine whether Putnam Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Putnam with respect to the benefits of owning Putnam U security.
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios |