Schnitzer Steel (Germany) Market Value

SS1A Stock   14.30  0.10  0.69%   
Schnitzer Steel's market value is the price at which a share of Schnitzer Steel trades on a public exchange. It measures the collective expectations of Schnitzer Steel Industries investors about its performance. Schnitzer Steel is selling for under 14.30 as of the 4th of January 2025; that is 0.69 percent decrease since the beginning of the trading day. The stock's last reported lowest price was 14.3.
With this module, you can estimate the performance of a buy and hold strategy of Schnitzer Steel Industries and determine expected loss or profit from investing in Schnitzer Steel over a given investment horizon. Check out Schnitzer Steel Correlation, Schnitzer Steel Volatility and Schnitzer Steel Alpha and Beta module to complement your research on Schnitzer Steel.
Symbol

Please note, there is a significant difference between Schnitzer Steel's value and its price as these two are different measures arrived at by different means. Investors typically determine if Schnitzer Steel is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Schnitzer Steel'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.

Schnitzer Steel '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 Schnitzer Steel's 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 Schnitzer Steel.
0.00
11/05/2024
No Change 0.00  0.0 
In 2 months and 2 days
01/04/2025
0.00
If you would invest  0.00  in Schnitzer Steel on November 5, 2024 and sell it all today you would earn a total of 0.00 from holding Schnitzer Steel Industries or generate 0.0% return on investment in Schnitzer Steel over 60 days. Schnitzer Steel is related to or competes with Apple, Apple, Apple, Apple, Apple, Apple, and Microsoft. More

Schnitzer Steel 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 Schnitzer Steel's 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 Schnitzer Steel Industries upside and downside potential and time the market with a certain degree of confidence.

Schnitzer Steel Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Schnitzer Steel's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Schnitzer Steel's standard deviation. In reality, there are many statistical measures that can use Schnitzer Steel historical prices to predict the future Schnitzer Steel's volatility.
Hype
Prediction
LowEstimatedHigh
10.8414.4017.96
Details
Intrinsic
Valuation
LowRealHigh
9.5913.1516.71
Details

Schnitzer Steel Indu Backtested Returns

Schnitzer Steel Indu owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0387, which indicates the firm had a -0.0387% return per unit of risk over the last 3 months. Schnitzer Steel Industries exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Schnitzer Steel's Variance of 11.75, coefficient of variation of (1,822), and Risk Adjusted Performance of (0.04) to confirm the risk estimate we provide. The entity has a beta of -0.53, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Schnitzer Steel are expected to decrease at a much lower rate. During the bear market, Schnitzer Steel is likely to outperform the market. At this point, Schnitzer Steel Indu has a negative expected return of -0.14%. Please make sure to validate Schnitzer Steel's treynor ratio, value at risk, and the relationship between the total risk alpha and maximum drawdown , to decide if Schnitzer Steel Indu performance from the past will be repeated at some point in the near future.

Auto-correlation

    
  -0.5  

Modest reverse predictability

Schnitzer Steel Industries has modest reverse predictability. Overlapping area represents the amount of predictability between Schnitzer Steel time series from 5th of November 2024 to 5th of December 2024 and 5th of December 2024 to 4th of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Schnitzer Steel Indu price movement. The serial correlation of -0.5 indicates that about 50.0% of current Schnitzer Steel price fluctuation can be explain by its past prices.
Correlation Coefficient-0.5
Spearman Rank Test-0.44
Residual Average0.0
Price Variance2.07

Schnitzer Steel Indu lagged returns against current returns

Autocorrelation, which is Schnitzer Steel 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 Schnitzer Steel's stock expected returns. We can calculate the autocorrelation of Schnitzer Steel returns to help us make a trade decision. For example, suppose you find that Schnitzer Steel 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 price movement to match the lagging time series.
   Current and Lagged Values   
       Timeline  

Schnitzer Steel 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 Schnitzer Steel stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Schnitzer Steel stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Schnitzer Steel stock over time.
   Current vs Lagged Prices   
       Timeline  

Schnitzer Steel Lagged Returns

When evaluating Schnitzer Steel's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Schnitzer Steel stock have on its future price. Schnitzer Steel 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, Schnitzer Steel autocorrelation shows the relationship between Schnitzer Steel stock current value and its past values and can show if there is a momentum factor associated with investing in Schnitzer Steel Industries.
   Regressed Prices   
       Timeline  

Thematic Opportunities

Explore Investment Opportunities

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Additional Tools for Schnitzer Stock Analysis

When running Schnitzer Steel's price analysis, check to measure Schnitzer Steel'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 Schnitzer Steel is operating at the current time. Most of Schnitzer Steel's value examination focuses on studying past and present price action to predict the probability of Schnitzer Steel's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Schnitzer Steel's price. Additionally, you may evaluate how the addition of Schnitzer Steel to your portfolios can decrease your overall portfolio volatility.