The Growth Equity Fund Probability of Future Mutual Fund Price Finishing Under 38.48
| HCEGX Fund | USD 38.56 0.35 0.90% |
Growth |
Growth Equity Target Price Odds to finish below 38.48
The tendency of Growth 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 $ 38.48 or more in 90 days |
| 38.56 | 90 days | 38.48 | about 34.74 |
Based on a normal probability distribution, the odds of Growth Equity to drop to $ 38.48 or more in 90 days from now is about 34.74 (This The Growth Equity probability density function shows the probability of Growth Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Growth Equity price to stay between $ 38.48 and its current price of $38.56 at the end of the 90-day period is under 4.
Assuming the 90 days horizon Growth Equity has a beta of 0.72. This usually indicates as returns on the market go up, Growth Equity average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding The Growth Equity will be expected to be much smaller as well. Additionally The Growth Equity 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). Growth Equity Price Density |
| Price |
Predictive Modules for Growth Equity
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Growth Equity. 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.Growth Equity Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Growth Equity is not an exception. The market had few large corrections towards the Growth Equity'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 The Growth Equity, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Growth Equity within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.01 | |
β | Beta against Dow Jones | 0.72 | |
σ | Overall volatility | 0.97 | |
Ir | Information ratio | 0.01 |
Growth Equity Technical Analysis
Growth Equity's future price can be derived by breaking down and analyzing its technical indicators over time. Growth Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of The Growth Equity. In general, you should focus on analyzing Growth Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Growth Equity Predictive Forecast Models
Growth Equity's time-series forecasting models is one of many Growth Equity'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 Growth Equity'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 Growth Equity 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, Growth Equity's short interest history, or implied volatility extrapolated from Growth Equity options trading.
Other Information on Investing in Growth Mutual Fund
Growth Equity financial ratios help investors to determine whether Growth 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 Growth with respect to the benefits of owning Growth Equity security.
| Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets | |
| Money Managers Screen money managers from public funds and ETFs managed around the world | |
| Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
| Volatility Analysis Get historical volatility and risk analysis based on latest market data |