SBM HOLDINGS (Mauritius) Probability of Future Stock Price Finishing Under 5.7
| SBMH Stock | 5.26 0.04 0.75% |
SBM |
SBM HOLDINGS Target Price Odds to finish below 5.7
The tendency of SBM 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 5.70 after 90 days |
| 5.26 | 90 days | 5.70 | about 63.72 |
Based on a normal probability distribution, the odds of SBM HOLDINGS to stay under 5.70 after 90 days from now is about 63.72 (This SBM HOLDINGS LTD probability density function shows the probability of SBM Stock to fall within a particular range of prices over 90 days) . Probability of SBM HOLDINGS LTD price to stay between its current price of 5.26 and 5.70 at the end of the 90-day period is about 52.71 .
Assuming the 90 days trading horizon SBM HOLDINGS LTD has a beta of -0.6. This usually implies as returns on the benchmark increase, returns on holding SBM HOLDINGS are expected to decrease at a much lower rate. During a bear market, however, SBM HOLDINGS LTD is likely to outperform the market. Additionally SBM HOLDINGS LTD has an alpha of 0.1118, implying that it can generate a 0.11 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). SBM HOLDINGS Price Density |
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Predictive Modules for SBM HOLDINGS
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SBM HOLDINGS LTD. 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.SBM HOLDINGS Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. SBM HOLDINGS is not an exception. The market had few large corrections towards the SBM HOLDINGS'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 SBM HOLDINGS LTD, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of SBM HOLDINGS within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.11 | |
β | Beta against Dow Jones | -0.6 | |
σ | Overall volatility | 0.28 | |
Ir | Information ratio | -0.04 |
SBM HOLDINGS Technical Analysis
SBM HOLDINGS's future price can be derived by breaking down and analyzing its technical indicators over time. SBM Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of SBM HOLDINGS LTD. In general, you should focus on analyzing SBM Stock price patterns and their correlations with different microeconomic environments and drivers.
SBM HOLDINGS Predictive Forecast Models
SBM HOLDINGS's time-series forecasting models is one of many SBM HOLDINGS'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 SBM HOLDINGS'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.
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 SBM HOLDINGS 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, SBM HOLDINGS's short interest history, or implied volatility extrapolated from SBM HOLDINGS options trading.