Sit Mutual Funds Fund Probability of Future Mutual Fund Price Finishing Over 9.53
| SQIYX Fund | USD 9.53 0.01 0.11% |
Sit |
Sit Mutual Target Price Odds to finish over 9.53
The tendency of Sit 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 |
| 9.53 | 90 days | 9.53 | about 58.51 |
Based on a normal probability distribution, the odds of Sit Mutual to move above the current price in 90 days from now is about 58.51 (This Sit Mutual Funds probability density function shows the probability of Sit Mutual Fund to fall within a particular range of prices over 90 days) .
Assuming the 90 days horizon Sit Mutual has a beta of 0.0165. This usually implies as returns on the market go up, Sit Mutual average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Sit Mutual Funds will be expected to be much smaller as well. Additionally Sit Mutual Funds has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial. Sit Mutual Price Density |
| Price |
Predictive Modules for Sit Mutual
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sit Mutual Funds. 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 Sit Mutual'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.
Sit Mutual Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Sit Mutual is not an exception. The market had few large corrections towards the Sit Mutual'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 Sit Mutual Funds, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Sit Mutual within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.01 | |
β | Beta against Dow Jones | 0.02 | |
σ | Overall volatility | 0.05 | |
Ir | Information ratio | -0.85 |
Sit Mutual Technical Analysis
Sit Mutual's future price can be derived by breaking down and analyzing its technical indicators over time. Sit Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Sit Mutual Funds. In general, you should focus on analyzing Sit Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Sit Mutual Predictive Forecast Models
Sit Mutual's time-series forecasting models is one of many Sit Mutual'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 Sit Mutual'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 Sit Mutual 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, Sit Mutual's short interest history, or implied volatility extrapolated from Sit Mutual options trading.
Other Information on Investing in Sit Mutual Fund
Sit Mutual financial ratios help investors to determine whether Sit 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 Sit with respect to the benefits of owning Sit Mutual security.
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