Strategic Asset Management Fund Probability of Future Mutual Fund Price Finishing Over 18.48
| SAGPX Fund | USD 18.48 0.26 1.39% |
Strategic |
Strategic Asset Target Price Odds to finish over 18.48
The tendency of Strategic 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 move above the current price in 90 days |
| 18.48 | 90 days | 18.48 | about 69.71 |
Based on a normal probability distribution, the odds of Strategic Asset to move above the current price in 90 days from now is about 69.71 (This Strategic Asset Management probability density function shows the probability of Strategic Mutual Fund to fall within a particular range of prices over 90 days) .
Assuming the 90 days horizon Strategic Asset has a beta of 0.9. This usually implies Strategic Asset Management market returns are sensitive to returns on the market. As the market goes up or down, Strategic Asset is expected to follow. Additionally Strategic Asset Management has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the NYSE Composite. Strategic Asset Price Density |
| Price |
Predictive Modules for Strategic Asset
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Strategic Asset Mana. 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 Strategic Asset'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.
Strategic Asset Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Strategic Asset is not an exception. The market had few large corrections towards the Strategic Asset'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 Strategic Asset Management, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Strategic Asset within the framework of very fundamental risk indicators.α | Alpha over NYSE Composite | -0.02 | |
β | Beta against NYSE Composite | 0.90 | |
σ | Overall volatility | 0.31 | |
Ir | Information ratio | -0.04 |
Strategic Asset Technical Analysis
Strategic Asset's future price can be derived by breaking down and analyzing its technical indicators over time. Strategic Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Strategic Asset Management. In general, you should focus on analyzing Strategic Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Strategic Asset Predictive Forecast Models
Strategic Asset's time-series forecasting models is one of many Strategic Asset'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 Strategic Asset'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 Strategic Asset 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, Strategic Asset's short interest history, or implied volatility extrapolated from Strategic Asset options trading.
Check out Strategic Asset Backtesting, Portfolio Optimization, Strategic Asset Correlation, Strategic Asset Hype Analysis, Strategic Asset Volatility, Strategic Asset History as well as Strategic Asset Performance. You can also try the Stocks Directory module to find actively traded stocks across global markets.