New Hampshire Higher Fund Probability of Future Mutual Fund Price Finishing Under 21.28
| FQIIX Fund | USD 21.48 0.09 0.42% |
New |
New Hampshire Target Price Odds to finish below 21.28
The tendency of New 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 $ 21.28 or more in 90 days |
| 21.48 | 90 days | 21.28 | about 72.07 |
Based on a normal probability distribution, the odds of New Hampshire to drop to $ 21.28 or more in 90 days from now is about 72.07 (This New Hampshire Higher probability density function shows the probability of New Mutual Fund to fall within a particular range of prices over 90 days) . Probability of New Hampshire Higher price to stay between $ 21.28 and its current price of $21.48 at the end of the 90-day period is about 20.17 .
Assuming the 90 days horizon New Hampshire has a beta of 0.4. This usually indicates as returns on the market go up, New Hampshire average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding New Hampshire Higher will be expected to be much smaller as well. Additionally New Hampshire Higher has an alpha of 0.0109, implying that it can generate a 0.0109 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). New Hampshire Price Density |
| Price |
Predictive Modules for New Hampshire
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as New Hampshire Higher. 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.New Hampshire Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. New Hampshire is not an exception. The market had few large corrections towards the New Hampshire'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 New Hampshire Higher, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of New Hampshire within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.01 | |
β | Beta against Dow Jones | 0.40 | |
σ | Overall volatility | 0.23 | |
Ir | Information ratio | -0.14 |
New Hampshire Technical Analysis
New Hampshire's future price can be derived by breaking down and analyzing its technical indicators over time. New Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of New Hampshire Higher. In general, you should focus on analyzing New Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
New Hampshire Predictive Forecast Models
New Hampshire's time-series forecasting models is one of many New Hampshire'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 New Hampshire'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 New Hampshire 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, New Hampshire's short interest history, or implied volatility extrapolated from New Hampshire options trading.
Other Information on Investing in New Mutual Fund
New Hampshire financial ratios help investors to determine whether New 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 New with respect to the benefits of owning New Hampshire security.
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