SBM Offshore (Netherlands) Market Value
| SBMO Stock | EUR 14.38 0.14 0.96% |
| 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.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in SBM Offshore on March 25, 2024 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 Koninklijke Ahold, Unilever PLC, ING Groep, ASML Holding, and Koninklijke Philips. SBM Offshore N.V. provides floating production solutions to the offshore energy industry worldwide 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 | 1.05 | |||
| Information Ratio | 0.233 | |||
| Maximum Drawdown | 4.81 | |||
| Value At Risk | (0.97) | |||
| Potential Upside | 1.96 |
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 | 0.1983 | |||
| Jensen Alpha | 0.3416 | |||
| Total Risk Alpha | 0.1927 | |||
| Sortino Ratio | 0.2407 | |||
| Treynor Ratio | (2.95) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SBM Offshore'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.
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 0.37, which indicates the company had a 0.37% return per unit of standard deviation over the last 3 months. We have found twenty-eight technical indicators for SBM Offshore NV, which you can use to evaluate the volatility of the entity. Please review SBM Offshore's Downside Deviation of 1.05, market risk adjusted performance of (2.94), and Risk Adjusted Performance of 0.1983 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 29. The firm has a beta of -0.11, which indicates not very significant fluctuations relative to the market. 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 jensen alpha, sortino ratio, maximum drawdown, as well as the relationship between the total risk alpha and treynor ratio , to make a quick decision on whether SBM Offshore's existing price patterns will revert.
Auto-correlation | 0.70 |
Good predictability
SBM Offshore NV has good predictability. Overlapping area represents the amount of predictability between SBM Offshore time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th of April 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 SBM Offshore NV price movement. The serial correlation of 0.7 indicates that around 70.0% of current SBM Offshore price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.7 | |
| Spearman Rank Test | 0.6 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
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 |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards SBM Offshore in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, SBM Offshore's short interest history, or implied volatility extrapolated from SBM Offshore options trading.
Currently Active Assets on Macroaxis
Check out SBM Offshore Correlation, SBM Offshore Volatility and SBM Offshore Alpha and Beta module to complement your research on SBM Offshore. You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.
Complementary Tools for SBM Stock analysis
When running SBM Offshore's price analysis, check to measure SBM Offshore'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 SBM Offshore is operating at the current time. Most of SBM Offshore's value examination focuses on studying past and present price action to predict the probability of SBM Offshore's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SBM Offshore's price. Additionally, you may evaluate how the addition of SBM Offshore to your portfolios can decrease your overall portfolio volatility.
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SBM Offshore technical stock 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, stock market cycles, or different charting patterns.