Phillips, Hager North Fund Probability of Future Fund Price Finishing Under 31.23
| 0P0000OXA8 | 31.00 0.13 0.42% |
Phillips, |
Phillips, Hager Target Price Odds to finish below 31.23
The tendency of Phillips, 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 31.23 after 90 days |
| 31.00 | 90 days | 31.23 | roughly 96.0 |
Based on a normal probability distribution, the odds of Phillips, Hager to stay under 31.23 after 90 days from now is roughly 96.0 (This Phillips, Hager North probability density function shows the probability of Phillips, Fund to fall within a particular range of prices over 90 days) . Probability of Phillips, Hager North price to stay between its current price of 31.00 and 31.23 at the end of the 90-day period is about 1.95 .
Assuming the 90 days trading horizon Phillips, Hager has a beta of 0.44. This suggests as returns on the market go up, Phillips, Hager average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Phillips, Hager North will be expected to be much smaller as well. Additionally Phillips, Hager North has an alpha of 0.0972, implying that it can generate a 0.0972 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Phillips, Hager Price Density |
| Price |
Predictive Modules for Phillips, Hager
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Phillips, Hager North. 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.Phillips, Hager Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Phillips, Hager is not an exception. The market had few large corrections towards the Phillips, Hager'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 Phillips, Hager North, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Phillips, Hager within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.1 | |
β | Beta against Dow Jones | 0.44 | |
σ | Overall volatility | 1.09 | |
Ir | Information ratio | 0.03 |
Phillips, Hager Technical Analysis
Phillips, Hager's future price can be derived by breaking down and analyzing its technical indicators over time. Phillips, Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Phillips, Hager North. In general, you should focus on analyzing Phillips, Fund price patterns and their correlations with different microeconomic environments and drivers.
Phillips, Hager Predictive Forecast Models
Phillips, Hager's time-series forecasting models is one of many Phillips, Hager'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 Phillips, Hager'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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Phillips, Hager in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Phillips, Hager's short interest history, or implied volatility extrapolated from Phillips, Hager options trading.
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