BHP Group Pink Sheet Forecast - Naive Prediction

BHPLF Stock  USD 25.20  1.40  5.26%   
The Naive Prediction forecasted value of BHP Group Limited on the next trading day is expected to be 24.51 with a mean absolute deviation of 0.93 and the sum of the absolute errors of 56.60. BHP Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of BHP Group's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A naive forecasting model for BHP Group is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of BHP Group Limited value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

BHP Group Naive Prediction Price Forecast For the 27th of November

Given 90 days horizon, the Naive Prediction forecasted value of BHP Group Limited on the next trading day is expected to be 24.51 with a mean absolute deviation of 0.93, mean absolute percentage error of 1.21, and the sum of the absolute errors of 56.60.
Please note that although there have been many attempts to predict BHP 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 BHP Group's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

BHP Group Pink Sheet Forecast Pattern

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BHP Group Forecasted Value

In the context of forecasting BHP Group'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. BHP Group's downside and upside margins for the forecasting period are 19.43 and 29.59, respectively. We have considered BHP Group'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
25.20
24.51
Expected Value
29.59
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of BHP Group pink sheet data series using in forecasting. Note that when a statistical model is used to represent BHP Group 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 Criteria118.3041
BiasArithmetic mean of the errors None
MADMean absolute deviation0.928
MAPEMean absolute percentage error0.0334
SAESum of the absolute errors56.605
This model is not at all useful as a medium-long range forecasting tool of BHP Group Limited. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict BHP Group. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for BHP Group

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as BHP Group Limited. 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
21.4826.6031.72
Details
Intrinsic
Valuation
LowRealHigh
17.5222.6427.76
Details

Other Forecasting Options for BHP Group

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

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 Risk & Return  Correlation

BHP Group Limited 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 BHP Group'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 BHP Group's current price.

BHP Group Market Strength Events

Market strength indicators help investors to evaluate how BHP Group 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 BHP Group shares will generate the highest return on investment. By undertsting and applying BHP Group pink sheet market strength indicators, traders can identify BHP Group Limited entry and exit signals to maximize returns.

BHP Group Risk Indicators

The analysis of BHP Group'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 BHP Group's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bhp 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 Information and Resources on Investing in BHP Pink Sheet

When determining whether BHP Group Limited is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if BHP Pink Sheet is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Bhp Group Limited Stock. Highlighted below are key reports to facilitate an investment decision about Bhp Group Limited Stock:
Check out Historical Fundamental Analysis of BHP Group to cross-verify your projections.
You can also try the AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
Please note, there is a significant difference between BHP Group's value and its price as these two are different measures arrived at by different means. Investors typically determine if BHP Group is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, BHP Group'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.