SBM Offshore Pink Sheet Forecast - 4 Period Moving Average

SBFFY Stock  USD 18.80  0.20  1.05%   
The 4 Period Moving Average forecasted value of SBM Offshore NV on the next trading day is expected to be 18.80 with a mean absolute deviation of 0.09 and the sum of the absolute errors of 5.34. SBM Pink Sheet Forecast is based on your current time horizon.
  
A four-period moving average forecast model for SBM Offshore NV is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

SBM Offshore 4 Period Moving Average Price Forecast For the 27th of November

Given 90 days horizon, the 4 Period Moving Average forecasted value of SBM Offshore NV on the next trading day is expected to be 18.80 with a mean absolute deviation of 0.09, mean absolute percentage error of 0.07, and the sum of the absolute errors of 5.34.
Please note that although there have been many attempts to predict SBM Pink Sheet prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that SBM Offshore's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SBM Offshore Pink Sheet Forecast Pattern

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SBM Offshore Forecasted Value

In the context of forecasting SBM Offshore's Pink Sheet value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. SBM Offshore's downside and upside margins for the forecasting period are 17.48 and 20.12, respectively. We have considered SBM Offshore's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
18.80
18.80
Expected Value
20.12
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of SBM Offshore pink sheet data series using in forecasting. Note that when a statistical model is used to represent SBM Offshore pink sheet, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria108.0787
BiasArithmetic mean of the errors -0.0346
MADMean absolute deviation0.0937
MAPEMean absolute percentage error0.0049
SAESum of the absolute errors5.34
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of SBM Offshore. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for SBM Offshore NV and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for SBM Offshore

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SBM Offshore NV. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Hype
Prediction
LowEstimatedHigh
17.4818.8020.12
Details
Intrinsic
Valuation
LowRealHigh
17.5118.8320.15
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as SBM Offshore. Your research has to be compared to or analyzed against SBM Offshore's peers to derive any actionable benefits. When done correctly, SBM Offshore's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in SBM Offshore NV.

Other Forecasting Options for SBM Offshore

For every potential investor in SBM, whether a beginner or expert, SBM Offshore's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. SBM Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in SBM. Basic forecasting techniques help filter out the noise by identifying SBM Offshore's price trends.

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 Risk & Return  Correlation

SBM Offshore NV Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of SBM Offshore's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of SBM Offshore's current price.

SBM Offshore Market Strength Events

Market strength indicators help investors to evaluate how SBM Offshore pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading SBM Offshore shares will generate the highest return on investment. By undertsting and applying SBM Offshore pink sheet market strength indicators, traders can identify SBM Offshore NV entry and exit signals to maximize returns.

SBM Offshore Risk Indicators

The analysis of SBM Offshore's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in SBM Offshore's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sbm pink sheet prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

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Additional Tools for SBM Pink Sheet 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.