STANDARD CHARTERED (Zambia) Probability of Future Stock Price Finishing Over 3.2
| SCBL Stock | 3.48 0.01 0.29% |
STANDARD |
STANDARD CHARTERED Target Price Odds to finish over 3.2
The tendency of STANDARD 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 above 3.20 in 90 days |
| 3.48 | 90 days | 3.20 | about 73.77 |
Based on a normal probability distribution, the odds of STANDARD CHARTERED to stay above 3.20 in 90 days from now is about 73.77 (This STANDARD CHARTERED BANK probability density function shows the probability of STANDARD Stock to fall within a particular range of prices over 90 days) . Probability of STANDARD CHARTERED BANK price to stay between 3.20 and its current price of 3.48 at the end of the 90-day period is about 47.54 .
Assuming the 90 days trading horizon STANDARD CHARTERED BANK has a beta of -0.0618. This usually implies as returns on the benchmark increase, returns on holding STANDARD CHARTERED are expected to decrease at a much lower rate. During a bear market, however, STANDARD CHARTERED BANK is likely to outperform the market. Additionally STANDARD CHARTERED BANK has an alpha of 0.2523, implying that it can generate a 0.25 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). STANDARD CHARTERED Price Density |
| Price |
Predictive Modules for STANDARD CHARTERED
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as STANDARD CHARTERED BANK. 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.STANDARD CHARTERED Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. STANDARD CHARTERED is not an exception. The market had few large corrections towards the STANDARD CHARTERED'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 STANDARD CHARTERED BANK, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of STANDARD CHARTERED within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.25 | |
β | Beta against Dow Jones | -0.06 | |
σ | Overall volatility | 0.22 | |
Ir | Information ratio | 0.06 |
STANDARD CHARTERED Technical Analysis
STANDARD CHARTERED's future price can be derived by breaking down and analyzing its technical indicators over time. STANDARD Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of STANDARD CHARTERED BANK. In general, you should focus on analyzing STANDARD Stock price patterns and their correlations with different microeconomic environments and drivers.
STANDARD CHARTERED Predictive Forecast Models
STANDARD CHARTERED's time-series forecasting models is one of many STANDARD CHARTERED'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 STANDARD CHARTERED'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 STANDARD CHARTERED 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, STANDARD CHARTERED's short interest history, or implied volatility extrapolated from STANDARD CHARTERED options trading.
Additional Tools for STANDARD Stock Analysis
When running STANDARD CHARTERED's price analysis, check to measure STANDARD CHARTERED'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 STANDARD CHARTERED is operating at the current time. Most of STANDARD CHARTERED's value examination focuses on studying past and present price action to predict the probability of STANDARD CHARTERED's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move STANDARD CHARTERED's price. Additionally, you may evaluate how the addition of STANDARD CHARTERED to your portfolios can decrease your overall portfolio volatility.