Sentinel Balanced Fund Probability of Future Mutual Fund Price Finishing Over 26.66
SEBLX Fund | USD 26.26 0.15 0.57% |
Sentinel |
Sentinel Balanced Target Price Odds to finish over 26.66
The tendency of Sentinel 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 over $ 26.66 or more in 90 days |
26.26 | 90 days | 26.66 | near 1 |
Based on a normal probability distribution, the odds of Sentinel Balanced to move over $ 26.66 or more in 90 days from now is near 1 (This Sentinel Balanced Fund probability density function shows the probability of Sentinel Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Sentinel Balanced Fund price to stay between its current price of $ 26.26 and $ 26.66 at the end of the 90-day period is about 5.46 .
Assuming the 90 days horizon Sentinel Balanced Fund has a beta of -0.0112. This usually implies as returns on benchmark increase, returns on holding Sentinel Balanced are expected to decrease at a much lower rate. During the bear market, however, Sentinel Balanced Fund is likely to outperform the market. Additionally Sentinel Balanced Fund has an alpha of 0.0724, implying that it can generate a 0.0724 percent excess return over NYSE Composite after adjusting for the inherited market risk (beta). Sentinel Balanced Price Density |
Price |
Predictive Modules for Sentinel Balanced
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sentinel Balanced Fund. 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 Sentinel Balanced'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.
Sentinel Balanced Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Sentinel Balanced is not an exception. The market had few large corrections towards the Sentinel Balanced'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 Sentinel Balanced Fund, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Sentinel Balanced within the framework of very fundamental risk indicators.α | Alpha over NYSE Composite | 0.07 | |
β | Beta against NYSE Composite | -0.01 | |
σ | Overall volatility | 0.42 | |
Ir | Information ratio | -0.12 |
Sentinel Balanced Technical Analysis
Sentinel Balanced's future price can be derived by breaking down and analyzing its technical indicators over time. Sentinel Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Sentinel Balanced Fund. In general, you should focus on analyzing Sentinel Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Sentinel Balanced Predictive Forecast Models
Sentinel Balanced's time-series forecasting models is one of many Sentinel Balanced'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 Sentinel Balanced'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 Sentinel Balanced 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, Sentinel Balanced's short interest history, or implied volatility extrapolated from Sentinel Balanced options trading.
Check out Sentinel Balanced Backtesting, Portfolio Optimization, Sentinel Balanced Correlation, Sentinel Balanced Hype Analysis, Sentinel Balanced Volatility, Sentinel Balanced History as well as Sentinel Balanced Performance. You can also try the Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Complementary Tools for Sentinel Mutual Fund analysis
When running Sentinel Balanced's price analysis, check to measure Sentinel Balanced's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Sentinel Balanced is operating at the current time. Most of Sentinel Balanced's value examination focuses on studying past and present price action to predict the probability of Sentinel Balanced's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sentinel Balanced's price. Additionally, you may evaluate how the addition of Sentinel Balanced to your portfolios can decrease your overall portfolio volatility.
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