Siemens Energy (Germany) Probability of Future Stock Price Finishing Over 14.68
| ENR Stock | 50.70 0.70 1.40% |
Siemens |
Siemens Energy Target Price Odds to finish over 14.68
The tendency of Siemens 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 14.68 in 90 days |
| 50.70 | 90 days | 14.68 | close to 99 |
Based on a normal probability distribution, the odds of Siemens Energy to stay above 14.68 in 90 days from now is close to 99 (This Siemens Energy AG probability density function shows the probability of Siemens Stock to fall within a particular range of prices over 90 days) . Probability of Siemens Energy AG price to stay between 14.68 and its current price of 50.7 at the end of the 90-day period is about 90.09 .
Assuming the 90 days trading horizon Siemens Energy AG has a beta of -0.45 suggesting as returns on the benchmark increase, returns on holding Siemens Energy are expected to decrease at a much lower rate. During a bear market, however, Siemens Energy AG is likely to outperform the market. Additionally Siemens Energy AG has an alpha of 0.7294, implying that it can generate a 0.73 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Siemens Energy Price Density |
| Price |
Predictive Modules for Siemens Energy
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Siemens Energy AG. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Siemens Energy's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Siemens Energy Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Siemens Energy is not an exception. The market had few large corrections towards the Siemens Energy'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 Siemens Energy AG, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Siemens Energy within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.73 | |
β | Beta against Dow Jones | -0.45 | |
σ | Overall volatility | 6.95 | |
Ir | Information ratio | 0.23 |
Siemens Energy 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 Siemens Energy for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Siemens Energy AG can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Siemens Energy AG appears to be risky and price may revert if volatility continues | |
| The company reported the revenue of 29 B. Net Loss for the year was (647 M) with profit before overhead, payroll, taxes, and interest of 3.42 B. | |
| About 40.0% of the company shares are held by company insiders |
Siemens Energy 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 Siemens Stock often depends not only on the future outlook of the current and potential Siemens Energy's 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. Siemens Energy's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 720.8 M | |
| Cash And Short Term Investments | 8.5 B |
Siemens Energy Technical Analysis
Siemens Energy's future price can be derived by breaking down and analyzing its technical indicators over time. Siemens Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Siemens Energy AG. In general, you should focus on analyzing Siemens Stock price patterns and their correlations with different microeconomic environments and drivers.
Siemens Energy Predictive Forecast Models
Siemens Energy's time-series forecasting models is one of many Siemens Energy'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 Siemens Energy'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 Siemens Energy AG
Checking the ongoing alerts about Siemens Energy for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Siemens Energy AG help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Siemens Energy AG appears to be risky and price may revert if volatility continues | |
| The company reported the revenue of 29 B. Net Loss for the year was (647 M) with profit before overhead, payroll, taxes, and interest of 3.42 B. | |
| About 40.0% of the company shares are held by company insiders |
Additional Tools for Siemens Stock Analysis
When running Siemens Energy's price analysis, check to measure Siemens Energy'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 Siemens Energy is operating at the current time. Most of Siemens Energy's value examination focuses on studying past and present price action to predict the probability of Siemens Energy's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Siemens Energy's price. Additionally, you may evaluate how the addition of Siemens Energy to your portfolios can decrease your overall portfolio volatility.