Green Century Balanced Fund Probability of Future Mutual Fund Price Finishing Over 34.48
| GCBUX Fund | USD 37.92 0.14 0.37% |
Green |
Green Century Target Price Odds to finish over 34.48
The tendency of Green 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 $ 34.48 in 90 days |
| 37.92 | 90 days | 34.48 | close to 99 |
Based on a normal probability distribution, the odds of Green Century to stay above $ 34.48 in 90 days from now is close to 99 (This Green Century Balanced probability density function shows the probability of Green Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Green Century Balanced price to stay between $ 34.48 and its current price of $37.92 at the end of the 90-day period is close to 99 .
Assuming the 90 days horizon Green Century has the beta coefficient that is very close to zero. This usually indicates the returns on DOW JONES INDUSTRIAL and Green Century do not appear to be sensitive. Additionally It does not look like Green Century's alpha can have any bearing on the current valuation. Green Century Price Density |
| Price |
Predictive Modules for Green Century
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Green Century Balanced. 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 Green Century'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.
Green Century Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Green Century is not an exception. The market had few large corrections towards the Green Century'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 Green Century Balanced, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Green Century within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.00 | |
β | Beta against Dow Jones | 0.00 | |
σ | Overall volatility | 0.30 | |
Ir | Information ratio | -0.25 |
Green Century Technical Analysis
Green Century's future price can be derived by breaking down and analyzing its technical indicators over time. Green Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Green Century Balanced. In general, you should focus on analyzing Green Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Green Century Predictive Forecast Models
Green Century's time-series forecasting models is one of many Green Century'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 Green Century'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 Green Century 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, Green Century's short interest history, or implied volatility extrapolated from Green Century options trading.
Other Information on Investing in Green Mutual Fund
Green Century financial ratios help investors to determine whether Green 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 Green with respect to the benefits of owning Green Century security.
| Fundamental Analysis View fundamental data based on most recent published financial statements | |
| Technical Analysis Check basic technical indicators and analysis based on most latest market data |