Lonza Pink Sheet Forecast - 4 Period Moving Average

LZAGF Stock  USD 606.75  17.50  2.97%   
The 4 Period Moving Average forecasted value of Lonza Group on the next trading day is expected to be 597.61 with a mean absolute deviation of 14.50 and the sum of the absolute errors of 826.51. Lonza Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Lonza's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A four-period moving average forecast model for Lonza Group 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.

Lonza 4 Period Moving Average Price Forecast For the 1st of December

Given 90 days horizon, the 4 Period Moving Average forecasted value of Lonza Group on the next trading day is expected to be 597.61 with a mean absolute deviation of 14.50, mean absolute percentage error of 319.56, and the sum of the absolute errors of 826.51.
Please note that although there have been many attempts to predict Lonza 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 Lonza's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Lonza Pink Sheet Forecast Pattern

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Lonza Forecasted Value

In the context of forecasting Lonza'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. Lonza's downside and upside margins for the forecasting period are 594.90 and 600.32, respectively. We have considered Lonza'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
606.75
594.90
Downside
597.61
Expected Value
600.32
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 Lonza pink sheet data series using in forecasting. Note that when a statistical model is used to represent Lonza 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 Criteria116.5259
BiasArithmetic mean of the errors 2.0075
MADMean absolute deviation14.5002
MAPEMean absolute percentage error0.0234
SAESum of the absolute errors826.51
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 Lonza. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Lonza Group and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Lonza

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Lonza Group. 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
604.04606.75609.46
Details
Intrinsic
Valuation
LowRealHigh
531.76534.47667.43
Details
Bollinger
Band Projection (param)
LowMiddleHigh
566.90591.53616.17
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Lonza. Your research has to be compared to or analyzed against Lonza's peers to derive any actionable benefits. When done correctly, Lonza'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 Lonza Group.

Other Forecasting Options for Lonza

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

Lonza 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 Lonza pink sheet to make a market-neutral strategy. Peer analysis of Lonza could also be used in its relative valuation, which is a method of valuing Lonza by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Lonza Group 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 Lonza'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 Lonza's current price.

Lonza Market Strength Events

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

Lonza Risk Indicators

The analysis of Lonza'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 Lonza's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting lonza 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.

Currently Active Assets on Macroaxis

Other Information on Investing in Lonza Pink Sheet

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