Lifex Inflation Protected Income Fund Probability of Future Mutual Fund Price Finishing Over 24.91
| LIIFX Fund | 24.75 0.00 0.00% |
Lifex |
Lifex Inflation-protec Target Price Odds to finish over 24.91
The tendency of Lifex 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 24.91 or more in 90 days |
| 24.75 | 90 days | 24.91 | about 6.26 |
Based on a normal probability distribution, the odds of Lifex Inflation-protec to move over 24.91 or more in 90 days from now is about 6.26 (This Lifex Inflation Protected Income probability density function shows the probability of Lifex Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Lifex Inflation-protec price to stay between its current price of 24.75 and 24.91 at the end of the 90-day period is about 25.78 .
Assuming the 90 days horizon Lifex Inflation Protected Income has a beta of -0.0082. This indicates as returns on the benchmark increase, returns on holding Lifex Inflation-protec are expected to decrease at a much lower rate. During a bear market, however, Lifex Inflation Protected Income is likely to outperform the market. Additionally Lifex Inflation Protected Income has an alpha of 0.0221, implying that it can generate a 0.0221 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Lifex Inflation-protec Price Density |
| Price |
Predictive Modules for Lifex Inflation-protec
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Lifex Inflation-protec. 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.Lifex Inflation-protec Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Lifex Inflation-protec is not an exception. The market had few large corrections towards the Lifex Inflation-protec'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 Lifex Inflation Protected Income, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Lifex Inflation-protec within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.02 | |
β | Beta against Dow Jones | -0.0082 | |
σ | Overall volatility | 0.15 | |
Ir | Information ratio | -0.56 |
Lifex Inflation-protec Technical Analysis
Lifex Inflation-protec's future price can be derived by breaking down and analyzing its technical indicators over time. Lifex Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Lifex Inflation Protected Income. In general, you should focus on analyzing Lifex Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Lifex Inflation-protec Predictive Forecast Models
Lifex Inflation-protec's time-series forecasting models is one of many Lifex Inflation-protec'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 Lifex Inflation-protec'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.
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 Lifex Inflation-protec 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, Lifex Inflation-protec's short interest history, or implied volatility extrapolated from Lifex Inflation-protec options trading.
Other Information on Investing in Lifex Mutual Fund
Lifex Inflation-protec financial ratios help investors to determine whether Lifex 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 Lifex with respect to the benefits of owning Lifex Inflation-protec security.
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
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| Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios | |
| Economic Indicators Top statistical indicators that provide insights into how an economy is performing |