Salzgitter Ag Adr Stock Market Value
| SZGPY Stock | USD 2.58 0.03 1.18% |
| Symbol | Salzgitter |
Salzgitter '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 Salzgitter'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 Salzgitter.
| 02/12/2024 |
| 05/12/2024 |
If you would invest 0.00 in Salzgitter on February 12, 2024 and sell it all today you would earn a total of 0.00 from holding Salzgitter AG ADR or generate 0.0% return on investment in Salzgitter over 90 days. Salzgitter is related to or competes with Nucor Corp, United States, Reliance Steel, ArcelorMittal, Commercial Metals, Steel Dynamics, and Cleveland Cliffs. Salzgitter AG, together with its subsidiaries, engages in steel and technology businesses worldwide More
Salzgitter 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 Salzgitter'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 Salzgitter AG ADR upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 19.61 | |||
| Value At Risk | (3.82) | |||
| Potential Upside | 4.78 |
Salzgitter Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Salzgitter's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Salzgitter's standard deviation. In reality, there are many statistical measures that can use Salzgitter historical prices to predict the future Salzgitter's volatility.| Risk Adjusted Performance | (0) | |||
| Jensen Alpha | 0.0222 | |||
| Total Risk Alpha | (0.36) | |||
| Treynor Ratio | 0.0529 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Salzgitter'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.
Salzgitter AG ADR Backtested Returns
Salzgitter AG ADR owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0376, which indicates the firm had a -0.0376% return per unit of risk over the last 3 months. Salzgitter AG ADR exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Salzgitter's Risk Adjusted Performance of (0), coefficient of variation of (5,299), and Variance of 6.41 to confirm the risk estimate we provide. The entity has a beta of -1.09, which indicates a somewhat significant risk relative to the market. As the market becomes more bullish, returns on owning Salzgitter are expected to decrease slowly. On the other hand, during market turmoil, Salzgitter is expected to outperform it slightly. Salzgitter AG ADR has an expected return of -0.0954%. Please make sure to validate Salzgitter information ratio, kurtosis, as well as the relationship between the Kurtosis and period momentum indicator , to decide if Salzgitter AG ADR performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.16 |
Very weak predictability
Salzgitter AG ADR has very weak predictability. Overlapping area represents the amount of predictability between Salzgitter time series from 12th of February 2024 to 28th of March 2024 and 28th of March 2024 to 12th of May 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 Salzgitter AG ADR price movement. The serial correlation of 0.16 indicates that over 16.0% of current Salzgitter price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.16 | |
| Spearman Rank Test | 0.47 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Salzgitter AG ADR lagged returns against current returns
Autocorrelation, which is Salzgitter 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 Salzgitter's pink sheet expected returns. We can calculate the autocorrelation of Salzgitter returns to help us make a trade decision. For example, suppose you find that Salzgitter 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 |
Salzgitter 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 Salzgitter pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Salzgitter pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Salzgitter pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Salzgitter Lagged Returns
When evaluating Salzgitter's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Salzgitter pink sheet have on its future price. Salzgitter 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, Salzgitter autocorrelation shows the relationship between Salzgitter pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Salzgitter AG ADR.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Check out Salzgitter Correlation, Salzgitter Volatility and Salzgitter Alpha and Beta module to complement your research on Salzgitter. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
Complementary Tools for Salzgitter Pink Sheet analysis
When running Salzgitter's price analysis, check to measure Salzgitter'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 Salzgitter is operating at the current time. Most of Salzgitter's value examination focuses on studying past and present price action to predict the probability of Salzgitter's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Salzgitter's price. Additionally, you may evaluate how the addition of Salzgitter to your portfolios can decrease your overall portfolio volatility.
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Salzgitter technical pink sheet 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, pink sheet market cycles, or different charting patterns.