SMI (Morocco) Chance of Future Stock Price Finishing Under 2188.0
| SMI Stock | 2,148 37.00 1.69% |
SMI |
SMI Target Price Odds to finish below 2188.0
The tendency of SMI Stock 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 under 2,188 after 90 days |
| 2,148 | 90 days | 2,188 | about 24.36 |
Based on a normal probability distribution, the odds of SMI to stay under 2,188 after 90 days from now is about 24.36 (This SMI probability density function shows the probability of SMI Stock to fall within a particular range of prices over 90 days) . Probability of SMI price to stay between its current price of 2,148 and 2,188 at the end of the 90-day period is about 19.06 .
Assuming the 90 days trading horizon SMI has a beta of 0.0902. This usually implies as returns on the market go up, SMI average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding SMI will be expected to be much smaller as well. Additionally SMI 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. SMI Price Density |
| Price |
Predictive Modules for SMI
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SMI. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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.SMI Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. SMI is not an exception. The market had few large corrections towards the SMI'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 SMI, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of SMI within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.04 | |
β | Beta against Dow Jones | 0.09 | |
σ | Overall volatility | 44.55 | |
Ir | Information ratio | -0.08 |
SMI 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 SMI for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for SMI can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| SMI generated a negative expected return over the last 90 days |
SMI Technical Analysis
SMI's future price can be derived by breaking down and analyzing its technical indicators over time. SMI Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of SMI. In general, you should focus on analyzing SMI Stock price patterns and their correlations with different microeconomic environments and drivers.
SMI Predictive Forecast Models
SMI's time-series forecasting models is one of many SMI's stock 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 SMI'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 stock market movement and maximize returns from investment trading.
Things to note about SMI
Checking the ongoing alerts about SMI for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for SMI help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| SMI generated a negative expected return over the last 90 days |