Schweiter Technologies (UK) Probability of Future Stock Price Finishing Over 390.02
| 0QR1 Stock | 387.50 2.50 0.64% |
Schweiter |
Schweiter Technologies Target Price Odds to finish over 390.02
The tendency of Schweiter 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 move over 390.02 or more in 90 days |
| 387.50 | 90 days | 390.02 | about 85.39 |
Based on a normal probability distribution, the odds of Schweiter Technologies to move over 390.02 or more in 90 days from now is about 85.39 (This Schweiter Technologies AG probability density function shows the probability of Schweiter Stock to fall within a particular range of prices over 90 days) . Probability of Schweiter Technologies price to stay between its current price of 387.50 and 390.02 at the end of the 90-day period is under 4.
Assuming the 90 days trading horizon Schweiter Technologies has a beta of 0.42. This suggests as returns on the market go up, Schweiter Technologies average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Schweiter Technologies AG will be expected to be much smaller as well. Additionally Schweiter Technologies AG 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. Schweiter Technologies Price Density |
| Price |
Predictive Modules for Schweiter 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 Schweiter 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.Schweiter Technologies Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Schweiter Technologies is not an exception. The market had few large corrections towards the Schweiter Technologies' 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 Schweiter Technologies AG, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Schweiter Technologies within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.16 | |
β | Beta against Dow Jones | 0.42 | |
σ | Overall volatility | 14.21 | |
Ir | Information ratio | -0.1 |
Schweiter Technologies 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 Schweiter Technologies for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Schweiter Technologies can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Schweiter Technologies generated a negative expected return over the last 90 days | |
| Schweiter Technologies is unlikely to experience financial distress in the next 2 years | |
| About 34.0% of the company shares are owned by insiders or employees | |
| Latest headline from news.google.com: Swiss stocks - Factors to watch on Aug 18 - Reuters |
Schweiter Technologies Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Schweiter Stock often depends not only on the future outlook of the current and potential Schweiter Technologies' investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Schweiter Technologies' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 1.4 M | |
| Cash And Short Term Investments | 93.8 M |
Schweiter Technologies Technical Analysis
Schweiter Technologies' future price can be derived by breaking down and analyzing its technical indicators over time. Schweiter Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Schweiter Technologies AG. In general, you should focus on analyzing Schweiter Stock price patterns and their correlations with different microeconomic environments and drivers.
Schweiter Technologies Predictive Forecast Models
Schweiter Technologies' time-series forecasting models is one of many Schweiter Technologies' 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 Schweiter Technologies' 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 Schweiter Technologies
Checking the ongoing alerts about Schweiter Technologies for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Schweiter Technologies help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Schweiter Technologies generated a negative expected return over the last 90 days | |
| Schweiter Technologies is unlikely to experience financial distress in the next 2 years | |
| About 34.0% of the company shares are owned by insiders or employees | |
| Latest headline from news.google.com: Swiss stocks - Factors to watch on Aug 18 - Reuters |
Additional Tools for Schweiter Stock Analysis
When running Schweiter Technologies' price analysis, check to measure Schweiter Technologies' 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 Schweiter Technologies is operating at the current time. Most of Schweiter Technologies' value examination focuses on studying past and present price action to predict the probability of Schweiter Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Schweiter Technologies' price. Additionally, you may evaluate how the addition of Schweiter Technologies to your portfolios can decrease your overall portfolio volatility.