Pcm Fund Odds of Future Fund Price Finishing Under 7.51
| PCM Fund | USD 6.64 0.06 0.90% |
Pcm |
Pcm Fund Target Price Odds to finish below 7.51
The tendency of Pcm 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 stay under $ 7.51 after 90 days |
| 6.64 | 90 days | 7.51 | about 70.2 |
Based on a normal probability distribution, the odds of Pcm Fund to stay under $ 7.51 after 90 days from now is about 70.2 (This Pcm Fund probability density function shows the probability of Pcm Fund to fall within a particular range of prices over 90 days) . Probability of Pcm Fund price to stay between its current price of $ 6.64 and $ 7.51 at the end of the 90-day period is about 53.63 .
Considering the 90-day investment horizon Pcm Fund has a beta of 0.21 indicating as returns on the market go up, Pcm Fund average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Pcm Fund will be expected to be much smaller as well. Additionally Pcm 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. Pcm Fund Price Density |
| Price |
Predictive Modules for Pcm Fund
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Pcm Fund. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Pcm Fund'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.
Pcm Fund Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Pcm Fund is not an exception. The market had few large corrections towards the Pcm Fund'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 Pcm Fund, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Pcm Fund within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.26 | |
β | Beta against Dow Jones | 0.21 | |
σ | Overall volatility | 0.58 | |
Ir | Information ratio | -0.13 |
Pcm Fund 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 Pcm Fund for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Pcm Fund can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Pcm Fund generated a negative expected return over the last 90 days |
Pcm Fund Technical Analysis
Pcm Fund's future price can be derived by breaking down and analyzing its technical indicators over time. Pcm Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Pcm Fund. In general, you should focus on analyzing Pcm Fund price patterns and their correlations with different microeconomic environments and drivers.
Pcm Fund Predictive Forecast Models
Pcm Fund's time-series forecasting models is one of many Pcm Fund's 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 Pcm Fund'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 fund market movement and maximize returns from investment trading.
Things to note about Pcm Fund
Checking the ongoing alerts about Pcm Fund for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Pcm Fund help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Pcm Fund generated a negative expected return over the last 90 days |
Other Information on Investing in Pcm Fund
Pcm Fund financial ratios help investors to determine whether Pcm 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 Pcm with respect to the benefits of owning Pcm Fund security.
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