Siemens OTC Stock Market Value


USD 11.07  0.34  2.98%   

Siemens Energy's market value is the price at which a share of Siemens Energy stock trades on a public exchange. It measures the collective expectations of Siemens Energy Ag investors about the entity's future performance. With this module, you can estimate the performance of a buy and hold strategy of Siemens Energy Ag and determine expected loss or profit from investing in Siemens Energy over a given investment horizon. Additionally, take a look at Siemens Energy Correlation, Siemens Energy Volatility and Siemens Energy Alpha and Beta module to complement your research on Siemens Energy.

Is Siemens Energy's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Siemens Energy. If investors know Siemens will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Siemens Energy listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Siemens Energy Ag is measured differently than its book value, which is the value of Siemens that is recorded on the company's balance sheet. Investors also form their own opinion of Siemens Energy's value that differs from its market value or its book value, called intrinsic value, which is Siemens Energy's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Siemens Energy's market value can be influenced by many factors that don't directly affect Siemens Energy's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Siemens Energy's value and its price as these two are different measures arrived at by different means. Investors typically determine Siemens Energy value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Siemens Energy's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

Siemens Energy 'What if' Analysis

In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Siemens Energy's otc stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Siemens Energy.
No Change 0.00  0.0 
In 2 months and 2 days
If you would invest  0.00  in Siemens Energy on August 7, 2022 and sell it all today you would earn a total of 0.00 from holding Siemens Energy Ag or generate 0.0% return on investment in Siemens Energy over 60 days. Siemens Energy is related to or competes with Amazon. Siemens Energy AG operates as an energy technology company worldwide More

Siemens Energy Upside/Downside Indicators

Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Siemens Energy's otc stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Siemens Energy Ag upside and downside potential and time the market with a certain degree of confidence.

Siemens Energy Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Siemens Energy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Siemens Energy's standard deviation. In reality, there are many statistical measures that can use Siemens Energy historical prices to predict the future Siemens Energy's volatility.
Sophisticated investors, who have witnessed many market ups and downs, frequently view 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. Please use the tools below to analyze the current value of Siemens Energy in the context of predictive analytics.
LowEstimated ValueHigh
LowReal ValueHigh
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Siemens Energy. Your research has to be compared to or analyzed against Siemens Energy's peers to derive any actionable benefits. When done correctly, Siemens Energy's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Siemens Energy Ag.

Siemens Energy Ag Backtested Returns

Siemens Energy Ag owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.13, which indicates the firm had -0.13% of return per unit of risk over the last 3 months. Macroaxis standpoint towards measuring the risk of any stock is to look at both systematic and unsystematic factors of the business, including all available market data and technical indicators. Siemens Energy Ag exposes twenty-eight different technical indicators, which can help you to evaluate volatility that cannot be diversified away. Please be advised to validate Siemens Energy coefficient of variation of (1,245), and Risk Adjusted Performance of (0.09) to confirm the risk estimate we provide.
The entity has a beta of 1.5213, which indicates a somewhat significant risk relative to the market. Let's try to break down what Siemens's beta means in this case. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Siemens Energy will likely underperform. Even though it is essential to pay attention to Siemens Energy Ag current price movements, it is always good to be careful when utilizing equity historical returns. Our philosophy towards measuring any stock's future performance is to check both, its past performance charts as well as the business as a whole, including all available technical indicators. Siemens Energy Ag exposes twenty-eight different technical indicators, which can help you to evaluate its performance. Siemens Energy Ag has an expected return of -0.43%. Please be advised to validate Siemens Energy sortino ratio, as well as the relationship between the semi variance and rate of daily change to decide if Siemens Energy Ag performance from the past will be repeated at some point in the near future.



Good predictability

Siemens Energy Ag has good predictability. Overlapping area represents the amount of predictability between Siemens Energy time series from 7th of August 2022 to 6th of September 2022 and 6th of September 2022 to 6th of October 2022. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Siemens Energy Ag price movement. The serial correlation of 0.79 indicates that around 79.0% of current Siemens Energy price fluctuation can be explain by its past prices.
Correlation Coefficient0.79
Spearman Rank Test0.76
Residual Average0.0
Price Variance1.2

Siemens Energy Ag lagged returns against current returns

Autocorrelation, which is Siemens Energy otc stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Siemens Energy's otc stock expected returns. We can calculate the autocorrelation of Siemens Energy returns to help us make a trade decision. For example, suppose you find that Siemens Energy otc stock has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the stock movement to match the lagging time series.
   Current and Lagged Values   

Siemens Energy regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Siemens Energy otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Siemens Energy otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Siemens Energy otc stock over time.
   Current vs Lagged Prices   

Siemens Energy Lagged Returns

When evaluating Siemens Energy's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Siemens Energy otc stock have on its future price. Siemens Energy autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Siemens Energy autocorrelation shows the relationship between Siemens Energy otc stock current value and its past values and can show if there is a momentum factor associated with investing in Siemens Energy Ag.
   Regressed Prices   

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 Siemens Energy 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, Siemens Energy's short interest history, or implied volatility extrapolated from Siemens Energy options trading.

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Additionally, take a look at Siemens Energy Correlation, Siemens Energy Volatility and Siemens Energy Alpha and Beta module to complement your research on Siemens Energy. Note that the Siemens Energy Ag information on this page should be used as a complementary analysis to other Siemens Energy's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.

Complementary Tools for Siemens OTC Stock analysis

When running Siemens Energy Ag 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 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.
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Siemens Energy technical otc stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, otc market cycles, or different charting patterns.
A focus of Siemens Energy technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Siemens Energy trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...