Pimco Total Return Fund Probability of Future Mutual Fund Price Finishing Over 8.63
| PTTPX Fund | USD 8.63 0.02 0.23% |
Pimco |
Pimco Total Target Price Odds to finish over 8.63
The tendency of Pimco 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 above the current price in 90 days |
| 8.63 | 90 days | 8.63 | about 67.53 |
Based on a normal probability distribution, the odds of Pimco Total to move above the current price in 90 days from now is about 67.53 (This Pimco Total Return probability density function shows the probability of Pimco Mutual Fund to fall within a particular range of prices over 90 days) .
Assuming the 90 days horizon Pimco Total Return has a beta of -0.0398 indicating as returns on the benchmark increase, returns on holding Pimco Total are expected to decrease at a much lower rate. During a bear market, however, Pimco Total Return is likely to outperform the market. Additionally Pimco Total Return 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. Pimco Total Price Density |
| Price |
Predictive Modules for Pimco Total
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Pimco Total Return. 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.Pimco Total Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Pimco Total is not an exception. The market had few large corrections towards the Pimco Total'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 Pimco Total Return, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Pimco Total within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.02 | |
β | Beta against Dow Jones | -0.04 | |
σ | Overall volatility | 0.11 | |
Ir | Information ratio | -0.46 |
Pimco Total 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 Pimco Total for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Pimco Total Return can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Pimco Total Return generated a negative expected return over the last 90 days | |
| The fund generated three year return of -2.0% | |
| Pimco Total Return maintains about 16.08% of its assets in bonds |
Pimco Total Technical Analysis
Pimco Total's future price can be derived by breaking down and analyzing its technical indicators over time. Pimco Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Pimco Total Return. In general, you should focus on analyzing Pimco Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Pimco Total Predictive Forecast Models
Pimco Total's time-series forecasting models is one of many Pimco Total'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 Pimco Total'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 Pimco Total Return
Checking the ongoing alerts about Pimco Total for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Pimco Total Return help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Pimco Total Return generated a negative expected return over the last 90 days | |
| The fund generated three year return of -2.0% | |
| Pimco Total Return maintains about 16.08% of its assets in bonds |
Other Information on Investing in Pimco Mutual Fund
Pimco Total financial ratios help investors to determine whether Pimco 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 Pimco with respect to the benefits of owning Pimco Total security.
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