Holcim Pink Sheet Forecast - Naive Prediction

HCMLF Stock  USD 101.60  1.60  1.60%   
The Naive Prediction forecasted value of Holcim on the next trading day is expected to be 101.52 with a mean absolute deviation of 0.98 and the sum of the absolute errors of 59.72. Holcim Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Holcim's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A naive forecasting model for Holcim is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Holcim 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.

Holcim Naive Prediction Price Forecast For the 30th of November

Given 90 days horizon, the Naive Prediction forecasted value of Holcim on the next trading day is expected to be 101.52 with a mean absolute deviation of 0.98, mean absolute percentage error of 1.45, and the sum of the absolute errors of 59.72.
Please note that although there have been many attempts to predict Holcim 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 Holcim's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Holcim Pink Sheet Forecast Pattern

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Holcim Forecasted Value

In the context of forecasting Holcim'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. Holcim's downside and upside margins for the forecasting period are 100.16 and 102.88, respectively. We have considered Holcim'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
101.60
100.16
Downside
101.52
Expected Value
102.88
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 Holcim pink sheet data series using in forecasting. Note that when a statistical model is used to represent Holcim 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 Criteria118.4851
BiasArithmetic mean of the errors None
MADMean absolute deviation0.979
MAPEMean absolute percentage error0.01
SAESum of the absolute errors59.7218
This model is not at all useful as a medium-long range forecasting tool of Holcim. 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 Holcim. 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 Holcim

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Holcim. 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
100.24101.60102.96
Details
Intrinsic
Valuation
LowRealHigh
98.6299.97111.76
Details

Other Forecasting Options for Holcim

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

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 Risk & Return  Correlation

Holcim 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 Holcim'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 Holcim's current price.

Holcim Market Strength Events

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

Holcim Risk Indicators

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

Holcim financial ratios help investors to determine whether Holcim Pink Sheet 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 Holcim with respect to the benefits of owning Holcim security.