Siemens Energy Ag Stock Market Value
| SMNEY Stock | USD 51.55 0.97 1.92% |
| Symbol | Siemens |
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 pink sheet 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.
| 10/28/2024 |
| 11/27/2024 |
If you would invest 0.00 in Siemens Energy on October 28, 2024 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 30 days. Siemens Energy is related to or competes with SPX Corp, Nuscale Power, Vestas Wind, Nordex SE, Sandvik AB, Schneider Electric, and Fanuc. 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 pink sheet 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.
| Downside Deviation | 2.43 | |||
| Information Ratio | 0.3204 | |||
| Maximum Drawdown | 13.19 | |||
| Value At Risk | (3.32) | |||
| Potential Upside | 4.67 |
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.| Risk Adjusted Performance | 0.2924 | |||
| Jensen Alpha | 0.9185 | |||
| Total Risk Alpha | 0.5206 | |||
| Sortino Ratio | 0.3245 | |||
| Treynor Ratio | (10.11) |
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 AG Backtested Returns
Siemens Energy appears to be very steady, given 3 months investment horizon. Siemens Energy AG owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.4, which indicates the firm had a 0.4% return per unit of risk over the last 3 months. By inspecting Siemens Energy's technical indicators, you can evaluate if the expected return of 0.98% is justified by implied risk. Please review Siemens Energy's Semi Deviation of 1.73, risk adjusted performance of 0.2924, and Coefficient Of Variation of 267.76 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Siemens Energy holds a performance score of 31. The entity has a beta of -0.0898, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Siemens Energy are expected to decrease at a much lower rate. During the bear market, Siemens Energy is likely to outperform the market. Please check Siemens Energy's semi variance, and the relationship between the sortino ratio and rate of daily change , to make a quick decision on whether Siemens Energy's existing price patterns will revert.
Auto-correlation | 0.63 |
Good predictability
Siemens Energy AG has good predictability. Overlapping area represents the amount of predictability between Siemens Energy time series from 28th of October 2024 to 12th of November 2024 and 12th of November 2024 to 27th of November 2024. 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 0.63 indicates that roughly 63.0% of current Siemens Energy price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.63 | |
| Spearman Rank Test | 0.69 | |
| Residual Average | 0.0 | |
| Price Variance | 2.22 |
Siemens Energy AG lagged returns against current returns
Autocorrelation, which is Siemens Energy pink sheet'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 pink sheet 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 has exhibited high autocorrelation historically, and you observe that the pink sheet is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
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 pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Siemens Energy pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Siemens Energy pink sheet over time.
Current vs Lagged Prices |
| Timeline |
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 pink sheet 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 pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Siemens Energy AG.
Regressed Prices |
| Timeline |
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional Tools for Siemens Pink Sheet 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.