New Hampshire Higher Fund Probability of Future Mutual Fund Price Finishing Over 17.75
| FQIIX Fund | USD 19.29 0.08 0.41% |
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New Hampshire Target Price Odds to finish over 17.75
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 stay above $ 17.75 in 90 days |
| 19.29 | 90 days | 17.75 | close to 99 |
Based on a normal probability distribution, the odds of New Hampshire to stay above $ 17.75 in 90 days from now is close to 99 (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 $ 17.75 and its current price of $19.29 at the end of the 90-day period is about 28.22 .
Assuming the 90 days horizon New Hampshire has a beta of 0.72. 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 a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the NYSE Composite. New Hampshire Price Density |
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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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of New Hampshire'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.
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 NYSE Composite | -0.02 | |
β | Beta against NYSE Composite | 0.72 | |
σ | Overall volatility | 0.33 | |
Ir | Information ratio | -0.07 |
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.
Check out New Hampshire Backtesting, Portfolio Optimization, New Hampshire Correlation, New Hampshire Hype Analysis, New Hampshire Volatility, New Hampshire History as well as New Hampshire Performance. You can also try the AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
Please note, there is a significant difference between New Hampshire's value and its price as these two are different measures arrived at by different means. Investors typically determine if New Hampshire is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, New Hampshire's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.