SPX TECHNOLOGIES (Germany) Probability of Future Stock Price Finishing Under 167.27
| SPW0 Stock | 165.00 4.00 2.37% |
SPX |
SPX TECHNOLOGIES Target Price Odds to finish below 167.27
The tendency of SPX 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 167.27 after 90 days |
| 165.00 | 90 days | 167.27 | about 98.0 |
Based on a normal probability distribution, the odds of SPX TECHNOLOGIES to stay under 167.27 after 90 days from now is about 98.0 (This SPX TECHNOLOGIES DL probability density function shows the probability of SPX Stock to fall within a particular range of prices over 90 days) . Probability of SPX TECHNOLOGIES price to stay between its current price of 165.00 and 167.27 at the end of the 90-day period is about 1.44 .
Assuming the 90 days trading horizon the stock has the beta coefficient of 2.16 . This usually implies as the benchmark fluctuates upward, the company is expected to outperform it on average. However, if the benchmark returns are projected to be negative, SPX TECHNOLOGIES will likely underperform. Additionally SPX TECHNOLOGIES DL 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. SPX TECHNOLOGIES Price Density |
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Predictive Modules for SPX TECHNOLOGIES
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SPX TECHNOLOGIES. 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.SPX TECHNOLOGIES Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. SPX TECHNOLOGIES is not an exception. The market had few large corrections towards the SPX TECHNOLOGIES'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 SPX TECHNOLOGIES DL, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of SPX TECHNOLOGIES within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.03 | |
β | Beta against Dow Jones | 2.16 | |
σ | Overall volatility | 10.09 | |
Ir | Information ratio | 0.04 |
SPX TECHNOLOGIES Technical Analysis
SPX TECHNOLOGIES's future price can be derived by breaking down and analyzing its technical indicators over time. SPX Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of SPX TECHNOLOGIES DL. In general, you should focus on analyzing SPX Stock price patterns and their correlations with different microeconomic environments and drivers.
SPX TECHNOLOGIES Predictive Forecast Models
SPX TECHNOLOGIES's time-series forecasting models is one of many SPX TECHNOLOGIES'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 SPX TECHNOLOGIES'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 SPX TECHNOLOGIES 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, SPX TECHNOLOGIES's short interest history, or implied volatility extrapolated from SPX TECHNOLOGIES options trading.