Siemens Ag Class Stock Analysis
SMAWF Stock | USD 188.85 0.31 0.16% |
Siemens AG Class is overvalued with Real Value of 159.68 and Hype Value of 188.85. The main objective of Siemens AG pink sheet analysis is to determine its intrinsic value, which is an estimate of what Siemens AG Class is worth, separate from its market price. There are two main types of Siemens AG's stock analysis: fundamental analysis and technical analysis.
The Siemens AG pink sheet is traded in the USA on PINK Exchange, with the market opening at 09:30:00 and closing at 16:00:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in the USA. Here, you can get updates on important government artifacts, including earning estimates, SEC corporate filings, announcements, and Siemens AG's ongoing operational relationships across important fundamental and technical indicators.
Siemens |
Siemens Pink Sheet Analysis Notes
About 38.0% of the company shares are owned by institutional investors. The book value of Siemens AG was at this time reported as 57.75. The company last dividend was issued on the 10th of February 2023. Siemens Aktiengesellschaft, a technology company, focuses in the areas of automation and digitalization in Europe, Commonwealth of Independent States, Africa, the Middle East, the Americas, Asia, and Australia. Siemens Aktiengesellschaft was founded in 1847 and is headquartered in Munich, Germany. Siemens A operates under Specialty Industrial Machinery classification in the United States and is traded on OTC Exchange. It employs 311000 people.The quote for Siemens AG Class is published daily by the National Quotation Bureau and the company does not need to meet minimum requirements or file with the SEC. To find out more about Siemens AG Class contact Roland DiplPhys at 49 89 636 00 or learn more at https://www.siemens.com.Siemens Market Capitalization
The company currently falls under 'Mega-Cap' category with a current market capitalization of 123.73 B. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Siemens AG's market, we take the total number of its shares issued and multiply it by Siemens AG'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
The company has Profit Margin (PM) of 0.05 %, which maeans that even a very small decline in it revenue will erase profits resulting in a net loss. This is way below average. Similarly, it shows Operating Margin (OM) of 0.1 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.1.Technical Drivers
As of the 29th of November, Siemens AG has the Semi Deviation of 1.44, risk adjusted performance of 0.0188, and Coefficient Of Variation of 6054.14. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Siemens AG Class, as well as the relationship between them. Please validate Siemens AG Class variance, as well as the relationship between the maximum drawdown and semi variance to decide if Siemens AG is priced more or less accurately, providing market reflects its prevalent price of 188.85 per share. Given that Siemens AG Class has jensen alpha of (0.01), we advise you to double-check Siemens AG Class's current market performance to make sure the company can sustain itself at a future point.Siemens AG Class Price Movement Analysis
The output start index for this execution was thirty-five with a total number of output elements of twenty-six. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Siemens AG 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 AG Class. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Siemens AG Outstanding Bonds
Siemens AG 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 AG Class 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 AG Class 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 AG Predictive Daily Indicators
Siemens AG 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 AG pink sheet 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 AG Forecast Models
Siemens AG's time-series forecasting models are one of many Siemens AG's pink sheet 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 AG'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.About Siemens Pink Sheet Analysis
Pink Sheet analysis is the technique used by a trader or investor to examine and evaluate how Siemens AG prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Siemens shares will generate the highest return on investment. We also built our pink sheet analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Pink Sheet such as Siemens AG. By using and applying Siemens Pink Sheet analysis, traders can create a robust methodology for identifying Siemens entry and exit points for their positions.
Siemens Aktiengesellschaft, a technology company, focuses in the areas of automation and digitalization in Europe, Commonwealth of Independent States, Africa, the Middle East, the Americas, Asia, and Australia. Siemens Aktiengesellschaft was founded in 1847 and is headquartered in Munich, Germany. Siemens A operates under Specialty Industrial Machinery classification in the United States and is traded on OTC Exchange. It employs 311000 people.
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When running Siemens AG's price analysis, check to measure Siemens AG'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 AG is operating at the current time. Most of Siemens AG's value examination focuses on studying past and present price action to predict the probability of Siemens AG'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 AG's price. Additionally, you may evaluate how the addition of Siemens AG to your portfolios can decrease your overall portfolio volatility.
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