Schoeller Bleckmann Oilfield Stock Market Value
| SBOEY Stock | USD 3.00 0.00 0.00% |
| Symbol | Schoeller |
Schoeller Bleckmann '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 Schoeller Bleckmann'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 Schoeller Bleckmann.
| 01/18/2024 |
| 01/07/2026 |
If you would invest 0.00 in Schoeller Bleckmann on January 18, 2024 and sell it all today you would earn a total of 0.00 from holding Schoeller Bleckmann Oilfield or generate 0.0% return on investment in Schoeller Bleckmann over 720 days. Schoeller Bleckmann is related to or competes with Saipem SpA, SBM Offshore, SBM Offshore, Worley, Worley Parsons, Subsea 7, and Vista Oil. Schoeller-Bleckmann Oilfield Equipment Aktiengesellschaft designs, manufactures, and sells equipment for the oil and gas... More
Schoeller Bleckmann 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 Schoeller Bleckmann'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 Schoeller Bleckmann Oilfield upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 8.41 |
Schoeller Bleckmann Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Schoeller Bleckmann's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Schoeller Bleckmann's standard deviation. In reality, there are many statistical measures that can use Schoeller Bleckmann historical prices to predict the future Schoeller Bleckmann's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.12) | |||
| Treynor Ratio | (0.18) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Schoeller Bleckmann'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.
Schoeller Bleckmann Backtested Returns
Schoeller Bleckmann owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0153, which indicates the firm had a -0.0153 % return per unit of risk over the last 3 months. Schoeller Bleckmann Oilfield exposes sixteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Schoeller Bleckmann's Variance of 0.641, coefficient of variation of (6,699), and Risk Adjusted Performance of (0.01) to confirm the risk estimate we provide. The entity has a beta of 0.12, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Schoeller Bleckmann's returns are expected to increase less than the market. However, during the bear market, the loss of holding Schoeller Bleckmann is expected to be smaller as well. At this point, Schoeller Bleckmann has a negative expected return of -0.0125%. Please make sure to validate Schoeller Bleckmann's standard deviation and kurtosis , to decide if Schoeller Bleckmann performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.28 |
Weak reverse predictability
Schoeller Bleckmann Oilfield has weak reverse predictability. Overlapping area represents the amount of predictability between Schoeller Bleckmann time series from 18th of January 2024 to 12th of January 2025 and 12th of January 2025 to 7th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Schoeller Bleckmann price movement. The serial correlation of -0.28 indicates that nearly 28.0% of current Schoeller Bleckmann price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.28 | |
| Spearman Rank Test | -0.35 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Schoeller Bleckmann lagged returns against current returns
Autocorrelation, which is Schoeller Bleckmann 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 Schoeller Bleckmann's pink sheet expected returns. We can calculate the autocorrelation of Schoeller Bleckmann returns to help us make a trade decision. For example, suppose you find that Schoeller Bleckmann 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 |
Schoeller Bleckmann 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 Schoeller Bleckmann pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Schoeller Bleckmann pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Schoeller Bleckmann pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Schoeller Bleckmann Lagged Returns
When evaluating Schoeller Bleckmann's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Schoeller Bleckmann pink sheet have on its future price. Schoeller Bleckmann 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, Schoeller Bleckmann autocorrelation shows the relationship between Schoeller Bleckmann pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Schoeller Bleckmann Oilfield.
Regressed Prices |
| Timeline |
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Additional Tools for Schoeller Pink Sheet Analysis
When running Schoeller Bleckmann's price analysis, check to measure Schoeller Bleckmann'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 Schoeller Bleckmann is operating at the current time. Most of Schoeller Bleckmann's value examination focuses on studying past and present price action to predict the probability of Schoeller Bleckmann's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Schoeller Bleckmann's price. Additionally, you may evaluate how the addition of Schoeller Bleckmann to your portfolios can decrease your overall portfolio volatility.