Hood River New Fund Probability of Future Mutual Fund Price Finishing Under 13.2
| HRNRX Fund | 13.96 0.18 1.31% |
Hood |
Hood River Target Price Odds to finish below 13.2
The tendency of Hood 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 13.20 or more in 90 days |
| 13.96 | 90 days | 13.20 | about 88.44 |
Based on a normal probability distribution, the odds of Hood River to drop to 13.20 or more in 90 days from now is about 88.44 (This Hood River New probability density function shows the probability of Hood Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Hood River New price to stay between 13.20 and its current price of 13.96 at the end of the 90-day period is about 9.94 .
Assuming the 90 days horizon the mutual fund has the beta coefficient of 1.34 . This usually indicates as the benchmark fluctuates upward, the company is expected to outperform it on average. However, if the benchmark returns are projected to be negative, Hood River will likely underperform. Additionally Hood River New has an alpha of 0.187, implying that it can generate a 0.19 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Hood River Price Density |
| Price |
Predictive Modules for Hood River
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Hood River New. 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.Hood River Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Hood River is not an exception. The market had few large corrections towards the Hood River'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 Hood River New, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Hood River within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.19 | |
β | Beta against Dow Jones | 1.34 | |
σ | Overall volatility | 0.79 | |
Ir | Information ratio | 0.18 |
Hood River Technical Analysis
Hood River's future price can be derived by breaking down and analyzing its technical indicators over time. Hood Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Hood River New. In general, you should focus on analyzing Hood Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Hood River Predictive Forecast Models
Hood River's time-series forecasting models is one of many Hood River'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 Hood River'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 Hood River 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, Hood River's short interest history, or implied volatility extrapolated from Hood River options trading.
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