SBM Offshore (UK) Market Value
0NIS Stock | 20.71 0.06 0.29% |
Symbol | SBM |
SBM Offshore '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 SBM Offshore'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 SBM Offshore.
01/26/2025 |
| 02/25/2025 |
If you would invest 0.00 in SBM Offshore on January 26, 2025 and sell it all today you would earn a total of 0.00 from holding SBM Offshore NV or generate 0.0% return on investment in SBM Offshore over 30 days. SBM Offshore is related to or competes with Lindsell Train, Lowland Investment, BlackRock Frontiers, First Majestic, Aurora Investment, Kinnevik Investment, and Vietnam Enterprise. SBM Offshore is entity of United Kingdom More
SBM Offshore 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 SBM Offshore'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 SBM Offshore NV upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.07 | |||
Information Ratio | 0.1155 | |||
Maximum Drawdown | 7.36 | |||
Value At Risk | (1.46) | |||
Potential Upside | 2.22 |
SBM Offshore Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SBM Offshore's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SBM Offshore's standard deviation. In reality, there are many statistical measures that can use SBM Offshore historical prices to predict the future SBM Offshore's volatility.Risk Adjusted Performance | 0.0932 | |||
Jensen Alpha | 0.239 | |||
Total Risk Alpha | 0.2558 | |||
Sortino Ratio | 0.2314 | |||
Treynor Ratio | (0.43) |
SBM Offshore NV Backtested Returns
SBM Offshore appears to be very steady, given 3 months investment horizon. SBM Offshore NV owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.15, which indicates the company had a 0.15 % return per unit of standard deviation over the last 3 months. We have found twenty-nine technical indicators for SBM Offshore NV, which you can use to evaluate the volatility of the entity. Please review SBM Offshore's Market Risk Adjusted Performance of (0.42), risk adjusted performance of 0.0932, and Downside Deviation of 1.07 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, SBM Offshore holds a performance score of 12. The firm has a beta of -0.56, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning SBM Offshore are expected to decrease at a much lower rate. During the bear market, SBM Offshore is likely to outperform the market. Please check SBM Offshore's coefficient of variation, jensen alpha, and the relationship between the downside deviation and standard deviation , to make a quick decision on whether SBM Offshore's existing price patterns will revert.
Auto-correlation | 0.72 |
Good predictability
SBM Offshore NV has good predictability. Overlapping area represents the amount of predictability between SBM Offshore time series from 26th of January 2025 to 10th of February 2025 and 10th of February 2025 to 25th of February 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 SBM Offshore NV price movement. The serial correlation of 0.72 indicates that around 72.0% of current SBM Offshore price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.72 | |
Spearman Rank Test | 0.14 | |
Residual Average | 0.0 | |
Price Variance | 1.3 |
SBM Offshore NV lagged returns against current returns
Autocorrelation, which is SBM Offshore 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 SBM Offshore's stock expected returns. We can calculate the autocorrelation of SBM Offshore returns to help us make a trade decision. For example, suppose you find that SBM Offshore 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 |
SBM Offshore 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 SBM Offshore stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SBM Offshore stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SBM Offshore stock over time.
Current vs Lagged Prices |
Timeline |
SBM Offshore Lagged Returns
When evaluating SBM Offshore's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SBM Offshore stock have on its future price. SBM Offshore 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, SBM Offshore autocorrelation shows the relationship between SBM Offshore stock current value and its past values and can show if there is a momentum factor associated with investing in SBM Offshore NV.
Regressed Prices |
Timeline |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectOther Information on Investing in SBM Stock
SBM Offshore financial ratios help investors to determine whether SBM Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in SBM with respect to the benefits of owning SBM Offshore security.