Halma Plc Pink Sheet Forecast - Naive Prediction

HLMAF Stock  USD 36.21  1.60  4.62%   
The Naive Prediction forecasted value of Halma plc on the next trading day is expected to be 36.45 with a mean absolute deviation of 0.39 and the sum of the absolute errors of 24.20. Halma Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Halma Plc's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A naive forecasting model for Halma Plc is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Halma plc 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.

Halma Plc Naive Prediction Price Forecast For the 13th of December 2024

Given 90 days horizon, the Naive Prediction forecasted value of Halma plc on the next trading day is expected to be 36.45 with a mean absolute deviation of 0.39, mean absolute percentage error of 0.25, and the sum of the absolute errors of 24.20.
Please note that although there have been many attempts to predict Halma 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 Halma Plc's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Halma Plc Pink Sheet Forecast Pattern

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Halma Plc Forecasted Value

In the context of forecasting Halma Plc'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. Halma Plc's downside and upside margins for the forecasting period are 34.53 and 38.37, respectively. We have considered Halma Plc'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
36.21
36.45
Expected Value
38.37
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 Halma Plc pink sheet data series using in forecasting. Note that when a statistical model is used to represent Halma Plc 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 Criteria118.5721
BiasArithmetic mean of the errors None
MADMean absolute deviation0.3903
MAPEMean absolute percentage error0.0117
SAESum of the absolute errors24.2008
This model is not at all useful as a medium-long range forecasting tool of Halma plc. 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 Halma Plc. 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 Halma Plc

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Halma plc. 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
34.2936.2138.13
Details
Intrinsic
Valuation
LowRealHigh
33.1035.0236.94
Details
Bollinger
Band Projection (param)
LowMiddleHigh
32.8334.5136.18
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Halma Plc. Your research has to be compared to or analyzed against Halma Plc's peers to derive any actionable benefits. When done correctly, Halma Plc'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 Halma plc.

Other Forecasting Options for Halma Plc

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

Halma Plc Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Halma Plc pink sheet to make a market-neutral strategy. Peer analysis of Halma Plc could also be used in its relative valuation, which is a method of valuing Halma Plc by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Halma plc 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 Halma Plc'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 Halma Plc's current price.

Halma Plc Market Strength Events

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

Halma Plc Risk Indicators

The analysis of Halma Plc'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 Halma Plc's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting halma 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 Halma Pink Sheet

Halma Plc financial ratios help investors to determine whether Halma 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 Halma with respect to the benefits of owning Halma Plc security.