The Long Term Fund Probability of Future Mutual Fund Price Finishing Under 24.28
| BSGLX Fund | USD 35.00 0.15 0.43% |
Long |
Long Term Target Price Odds to finish below 24.28
The tendency of Long 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 $ 24.28 or more in 90 days |
| 35.00 | 90 days | 24.28 | near 1 |
Based on a normal probability distribution, the odds of Long Term to drop to $ 24.28 or more in 90 days from now is near 1 (This The Long Term probability density function shows the probability of Long Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Long Term price to stay between $ 24.28 and its current price of $35.0 at the end of the 90-day period is over 95.8 .
Assuming the 90 days horizon Long Term has a beta of 0.76 suggesting as returns on the market go up, Long Term average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding The Long Term will be expected to be much smaller as well. Additionally The Long Term has an alpha of 0.1864, implying that it can generate a 0.19 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Long Term Price Density |
| Price |
Predictive Modules for Long Term
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Long Term. 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.Long Term Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Long Term is not an exception. The market had few large corrections towards the Long Term'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 Long Term, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Long Term within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.19 | |
β | Beta against Dow Jones | 0.76 | |
σ | Overall volatility | 1.55 | |
Ir | Information ratio | 0.11 |
Long Term Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Long Term for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Long Term can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| The fund generated three year return of -1.0% | |
| Long Term holds 98.13% of its assets under management (AUM) in equities |
Long Term Technical Analysis
Long Term's future price can be derived by breaking down and analyzing its technical indicators over time. Long 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 Long Term. In general, you should focus on analyzing Long Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Long Term Predictive Forecast Models
Long Term's time-series forecasting models is one of many Long Term'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 Long Term'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.
Things to note about Long Term
Checking the ongoing alerts about Long Term for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Long Term help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| The fund generated three year return of -1.0% | |
| Long Term holds 98.13% of its assets under management (AUM) in equities |
Other Information on Investing in Long Mutual Fund
Long Term financial ratios help investors to determine whether Long 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 Long with respect to the benefits of owning Long Term security.
| Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
| Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency |