Siemens Energy (Germany) Analysis
| ENR Stock | 50.70 0.70 1.40% |
Siemens Energy AG is overvalued with Real Value of 46.87 and Hype Value of 50.7. The main objective of Siemens Energy stock analysis is to determine its intrinsic value, which is an estimate of what Siemens Energy AG is worth, separate from its market price. There are two main types of Siemens Energy's stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect Siemens Energy's performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of Siemens Energy's stock to identify patterns and trends that may indicate its future price movements.
The Siemens Energy stock is traded in Germany on XETRA Stock Exchange, with the market opening at 09:00:00 and closing at 17:30:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in Germany. Siemens Energy is usually not traded on GermanUnityDay, Christmas Day, Boxing Day, New Year 's Day, Good Friday, Easter Monday, International Workers ' Day. Siemens Stock trading window is adjusted to Europe/Berlin timezone.
Siemens |
Siemens Stock Analysis Notes
About 40.0% of the company shares are held by company insiders. The company has price-to-book (P/B) ratio of 0.81. Some equities with similar Price to Book (P/B) outperform the market in the long run. Siemens Energy AG recorded a loss per share of 1.42. The entity last dividend was issued on the 8th of February 2023. To learn more about Siemens Energy AG call Christian Bruch at 49 89 636 00 or check out https://www.siemens-energy.com.Siemens Energy AG Investment Alerts
Siemens Market Capitalization
The company currently falls under 'Large-Cap' category with a current market capitalization of 14.23 B. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Siemens Energy's market, we take the total number of its shares issued and multiply it by Siemens Energy's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities.Siemens Profitablity
Siemens Energy's profitability indicators refer to fundamental financial ratios that showcase Siemens Energy's ability to generate income relative to its revenue or operating costs. If, let's say, Siemens Energy is currently losing money, the management's focus should be on how to reverse that trend. However, when revenue exceeds expenses, Siemens Energy's executives or investors may be in less hurry to break that information down - which is where profitability analysis comes into play. Gaining a greater understanding of Siemens Energy's profitability requires more research than a typical breakdown of Siemens Energy's financial statements. By doing a profitability analysis, companies can identify areas needing attention, and investors can make a profitable trade.
The company has Profit Margin (PM) of (0.02) %, which may suggest that it does not properly executes on its current pricing strategies or is unable to control all of the operational costs. This is way below average. Similarly, it shows Operating Margin (OM) of (0.02) %, which suggests for every $100 dollars of sales, it generated a net operating loss of $0.02. Technical Drivers
As of the 22nd of December, Siemens Energy has the Coefficient Of Variation of 421.95, risk adjusted performance of 0.1952, and Semi Deviation of 1.46. Siemens Energy technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the company's future prices.Siemens Energy AG Price Movement Analysis
The output start index for this execution was nineteen with a total number of output elements of fourty-two. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Siemens Energy middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for Siemens Energy AG. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Siemens Energy Outstanding Bonds
Siemens Energy issues bonds to finance its operations. Corporate bonds make up one of the largest components of the U.S. bond market, which is considered the world's largest securities market. Siemens Energy AG uses the proceeds from bond sales for a wide variety of purposes, including financing ongoing mergers and acquisitions, buying new equipment, investing in research and development, buying back their own stock, paying dividends to shareholders, and even refinancing existing debt. Most Siemens bonds can be classified according to their maturity, which is the date when Siemens Energy AG has to pay back the principal to investors. Maturities can be short-term, medium-term, or long-term (more than ten years). Longer-term bonds usually offer higher interest rates but may entail additional risks.
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Siemens Energy Predictive Daily Indicators
Siemens Energy intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of Siemens Energy stock daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.
Siemens Energy Forecast Models
Siemens Energy's time-series forecasting models are one of many Siemens Energy's stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae 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. These 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 market movement and maximize returns from investment trading.Be your own money manager
As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our stock analysis tools, you can find out how much better you can do when adding Siemens Energy to your portfolios without increasing risk or reducing expected return.Did you try this?
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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.