Pimco Income Fund Probability of Future Mutual Fund Price Finishing Under 10.55
| PONAX Fund | USD 10.57 0.01 0.09% |
Pimco |
Pimco Income Target Price Odds to finish below 10.55
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 drop to $ 10.55 or more in 90 days |
| 10.57 | 90 days | 10.55 | about 10.59 |
Based on a normal probability distribution, the odds of Pimco Income to drop to $ 10.55 or more in 90 days from now is about 10.59 (This Pimco Income Fund probability density function shows the probability of Pimco Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Pimco Income price to stay between $ 10.55 and its current price of $10.57 at the end of the 90-day period is about 6.89 .
Assuming the 90 days horizon Pimco Income has a beta of 0.0395 indicating as returns on the market go up, Pimco Income average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Pimco Income Fund will be expected to be much smaller as well. Additionally Pimco Income Fund 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 Income Price Density |
| Price |
Predictive Modules for Pimco Income
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 Income. 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 Income Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Pimco Income is not an exception. The market had few large corrections towards the Pimco Income'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 Income Fund, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Pimco Income within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.01 | |
β | Beta against Dow Jones | 0.04 | |
σ | Overall volatility | 0.07 | |
Ir | Information ratio | -0.66 |
Pimco Income 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 Income for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Pimco Income 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 Income generated a negative expected return over the last 90 days | |
| The fund maintains about 17.58% of its assets in bonds |
Pimco Income Technical Analysis
Pimco Income'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 Income Fund. In general, you should focus on analyzing Pimco Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Pimco Income Predictive Forecast Models
Pimco Income's time-series forecasting models is one of many Pimco Income'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 Income'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 Income
Checking the ongoing alerts about Pimco Income for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Pimco Income help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Pimco Income generated a negative expected return over the last 90 days | |
| The fund maintains about 17.58% of its assets in bonds |
Other Information on Investing in Pimco Mutual Fund
Pimco Income 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 Income security.
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